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Module 6 Quiz
Question 1 1
/ 1 point
State the null hypothesis.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
State the null hypothesis.
Customers are distributed evenly throughout the week.
Customers are not distributed evenly throughout the week.
Question 2 1
/ 1 point
State the alternative hypothesis.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
State the alternative hypothesis.
Customers are distributed evenly throughout the week.
Customers are not distributed evenly throughout the week.
Question 3 1
/ 1 point
Determine the degrees of freedom.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and determine
how many degrees of freedom the ?2
test statistic will
have.
1
2
3
4
5
Question 4 1
/ 1 point
Determine the critical value.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and
determine the critical value for the test.
12.59
7.81
5.99
3.84
9.49
Question 5 1
/ 1 point
Determine the expected count under the null hypothesis.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and
determine the expected number of customers served each day under the null
hypothesis.
20
25
30
40
50
Question 6 1
/ 1 point
Calculate the test statistic ?2
.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and
calculate the test statistic ?2
.
6.67
9.24
10.31
13.45
15.86
Question 7 1
/ 1 point
State your decision regarding the null hypothesis.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis.
Note: the p-value =
0.01
Reject the null hypothesis.
Do not reject the null hypothesis.
Question 8 1
/ 1 point
State your conclusion to the hypothesis test.
A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level.
Monday Tuesday Wednesday Thursday Friday Total
Number Served
40 33 35 32 60 200
Assume the assumptions of the test are satisfied and state
your conclusion to the test.
Note: the p-value =
0.01
Cannot be determined.
The data suggests that customers are distributed evenly
throughout the week.
The data suggests that customers are not distributed evenly
throughout the week.
Question 9 1
/ 1 point
State the null hypothesis.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23
years old 24-29 years old 30-35 years old Totals
Drama 8 15 11 34
Science Fiction 12 10 8 30
Comedy 9 8 12 29
Totals 29 33 31 93
State the Null Hypothesis.
Age and type of movie preferred are not independent.
Age and type of movie preferred are independent.
Age and type of movie preferred are not the same.
Age and type of movie preferred are related.
Cannot be determined.
Question 10 1
/ 1 point
State the alternative hypothesis.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23
years old 24-29 years old 30-35 years old Totals
Drama 8 15 11 34
Science Fiction 12 10 8 30
Comedy 9 8 12 29
Totals 29 33 31 93
State the alternative hypothesis.
Age and type of movie preferred are dependent.
Age and type of movie preferred are independent.
Age and type of movie preferred are not related.
Age and type of movie preferred are superior.
Cannot be determined.
Question 11 1
/ 1 point
Determine the degrees of freedom.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and
determine how many degrees of freedom the
?2
test statistic will
have.
1
2
4
9
Question 12 1
/ 1 point
Determine the critical value.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and
determine the critical value for the test.
14.86
5.991
9.488
16.919
Question 13 1
/ 1 point
Find the expected count under the null hypothesis.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and find
the expected number of 24-29 year-olds who prefer comedies under the null
hypothesis.
8
11.56
10.29
7.34
Question 14 1
/ 1 point
Find the test statistic ?2
.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and find
the test statistic ?2
.
1.444
12.234
3.623
2.944
Cannot be determined.
Question 15 1
/ 1 point
State your decision regarding the null hypothesis.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis.
Note: the p-value =
0.4594
Do not reject the null hypothesis.
Reject the null hypothesis.
Question 16 1
/ 1 point
State your conclusion to the hypothesis test.
A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance.
18-23 years old
24-29 years old
30-35 years old
Totals
Drama
8
15
11
34
Science Fiction
12
10
8
30
Comedy
9
8
12
29
Totals
29
33
31
93
Assume the assumptions of the test are satisfied and state
your conclusion to the test.
Note: the p-value =
0.4594
Cannot be determined.
The data suggests that age and type of movie preferred are
not independent.
The data does not suggest that age and type of movie
preferred are independent.
The data does not suggest that age and type of movie
preferred are dependent.
The data suggests that age and type of movie preferred are
dependent.
Question 17 1
/ 1 point
State the null and alternative hypotheses.
It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level.
Brown Yellow Red OrangeBlue Green Total
Number Observed
27 16 21 12 9 15 100
State the null and alternative hypotheses.
H0: pbrown=0.30
, pyellow=0.20 ,
pred=0.20 , porange=0.10
, pblue=0.10 ,
pgreen=0.10HA: At least one of the stated proportions is not correct.
H0: pbrown=0.30
, pyellow=0.20 ,
pred=0.20 , porange=0.10
, pblue=0.10 ,
pgreen=0.10HA: All of the stated proportions are not correct.
Question 18 1
/ 1 point
Determine the critical value.
It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level.
Brown Yellow Red OrangeBlue Green Total
Number Observed
27 16 21 12 9 15 100
Assume the assumptions of the test are satisfied and
determine the critical value for the test.
12.833
0.05
11.070
5.991
Question 19 1
/ 1 point
Determine the expected count under the null hypothesis.
It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a Chi-Square
goodness-of-fit test at a 5% significance level.
Brown Yellow Red OrangeBlue Green Total
Number Observed
27 16 21 12 9 15 100
Assume the assumptions of the test are satisfied and
determine the expected number of yellow M&M’s in the bag under the null
hypothesis.
5
10
20
30
Question 20 1
/ 1 point
Calculate the test statistic ?2
.
It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level.
Brown Yellow Red OrangeBlue Green Total
Number Observed
27 16 21 12 9 15 100
Assume the assumptions of the test are satisfied and
calculate the test statistic ?2
.
4.15
6.47
16.83
20.43
Question 21 0
/ 1 point
State your decision regarding the null hypothesis.
It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level.
Brown Yellow Red OrangeBlue Green Total
Number Observed
27 16 21 12 9 15 100
Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis.
Reject the null hypothesis.
Do not reject the null hypothesis.
Question 22 1
/ 1 point
State the null and alternative hypotheses.
A study was conducted to determine if there is a
relationship between fan preference of instant replay use and the sport in
which it is applied. The category counts
of 102 fans are provided in the two-way table below. Use a Chi-Square independence test to
determine if fan preference of instant replay use and the sport in which it is
used are independent at the 5% level of significance.
Favor Oppose Totals
Football 19 5 24
Baseball 18 6 24
Basketball 15 26 41
Soccer 5 8 13
Totals 57 45 102
State the Null and Alternative Hypotheses.
H0:
Instant replay preference is independent of sport.HA: Instant replay preference
is dependent of sport.
H0:
Instant replay preference is dependent of sport.HA: Instant replay preference
is independent of sport.
Question 23 1
/ 1 point
Determine the critical value.
A study was conducted to determine if there is a
relationship between fan preference of instant replay use and the sport in
which it is applied. The category counts
of 102 fans are provided in the two-way table below. Use a Chi-Square independence test to
determine if fan preference of instant replay use and the sport in which it is
used are independent at the 5% level of significance.
Favor Oppose Totals
Football 19 5 24
Baseball 18 6 24
Basketball 15 26 41
Soccer 5 8 13
Totals 57 45 102
Assume the assumptions of the test are satisfied and
determine the critical value for the test.
15.507
7.815
5.991
3.841
9.488
Question 24 0
/ 1 point
Find the expected count under the null hypothesis.
A study was conducted to determine if there is a
relationship between fan preference of instant replay use and the sport in
which it is used. The category counts of
102 fans are provided in the two-way table below. Use a Chi-Square independence test to
determine if fan preference of instant replay use and the sport in which it is
applied are independent at the 5% level of significance.
Favor Oppose Totals
Football 19 5 24
Baseball 18 6 24
Basketball 15 26 41
Soccer 5 8 13
Totals 57 45 102
Assume the assumptions of the test are satisfied and find
the expected number who would oppose the use of instant replay in baseball
under the null hypothesis.
13.41
7.26
5.74
18.08
10.59
Question 25 0
/ 1 point
State your conclusion to the hypothesis test.
A study was conducted to determine if there is a
relationship between fan preference of instant replay use and the sport in
which it is used. The category counts of
102 fans are provided in the two-way table below. Use a Chi-Square independence test to
determine if fan preference of instant replay use and the sport in which it is
applied are independent at the 5% level of significance.
Favor Oppose Totals
Football 19 5 24
Baseball 18 6 24
Basketball 15 26 41
Soccer 5 8 13
Totals 57 45 102
Assume the assumptions of the test are satisfied and state
your conclusion to the test.
Note: the test
statistic is 16.629
Instant Replay Preference is independent of Sport.
Instant Replay Preference is dependent on Sport.
There is no relationship between Instant Replay Preference
and Sport.
The results do not provide enough information to come to any
conclusions.
________________________________________
Module 6 QuizQuestion 1 1
/ 1 point State the null hypothesis.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200State the null hypothesis. Customers are distributed evenly throughout the week. Customers are not distributed evenly throughout the week.Question 2 1
/ 1 pointState the alternative hypothesis.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200State the alternative hypothesis. Customers are distributed evenly throughout the week. Customers are not distributed evenly throughout the week.Question 3 1
/ 1 pointDetermine the degrees of freedom.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and determine
how many degrees of freedom the ?2 test statistic will
have. 1 2 3 4 5Question 4 1
/ 1 pointDetermine the critical value.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and
determine the critical value for the test. 12.59 7.81 5.99 3.84 9.49Question 5 1
/ 1 pointDetermine the expected count under the null hypothesis.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and
determine the expected number of customers served each day under the null
hypothesis. 20 25 30 40 50Question 6 1
/ 1 pointCalculate the test statistic ?2.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and
calculate the test statistic ?2. 6.67 9.24 10.31 13.45 15.86Question 7 1
/ 1 pointState your decision regarding the null hypothesis.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of
customers served each day of the week in order to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis.Note: the p-value =
0.01 Reject the null hypothesis. Do not reject the null hypothesis.Question 8 1
/ 1 pointState your conclusion to the hypothesis test.A local retailer currently schedules employees based on the
assumption that they serve customers uniformly throughout the week (the same
number each day). Management is starting
to question this assumption and decides to collect data on the number of customers
served each day of the week in order to perform a Chi-Square goodness-of-fit
test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday TotalNumber Served 40 33 35 32 60 200Assume the assumptions of the test are satisfied and state
your conclusion to the test.Note: the p-value =
0.01 Cannot be determined. The data suggests that customers are distributed evenly
throughout the week. The data suggests that customers are not distributed evenly
throughout the week.Question 9 1
/ 1 pointState the null hypothesis.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23
years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93State the Null Hypothesis. Age and type of movie preferred are not independent. Age and type of movie preferred are independent. Age and type of movie preferred are not the same. Age and type of movie preferred are related. Cannot be determined.Question 10 1
/ 1 pointState the alternative hypothesis.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23
years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93State the alternative hypothesis. Age and type of movie preferred are dependent. Age and type of movie preferred are independent. Age and type of movie preferred are not related. Age and type of movie preferred are superior. Cannot be determined.Question 11 1
/ 1 pointDetermine the degrees of freedom.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and
determine how many degrees of freedom the
?2 test statistic will
have. 1 2 4 9Question 12 1
/ 1 pointDetermine the critical value.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and
determine the critical value for the test. 14.86 5.991 9.488 16.919Question 13 1
/ 1 pointFind the expected count under the null hypothesis.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and find
the expected number of 24-29 year-olds who prefer comedies under the null
hypothesis. 8 11.56 10.29 7.34Question 14 1
/ 1 pointFind the test statistic ?2.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and find
the test statistic ?2. 1.444 12.234 3.623 2.944 Cannot be determined.Question 15 1
/ 1 pointState your decision regarding the null hypothesis.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis.Note: the p-value =
0.4594 Do not reject the null hypothesis. Reject the null hypothesis.Question 16 1
/ 1 pointState your conclusion to the hypothesis test.A sociologist was interested in determining if there was a
relationship between the age of a young adult (18 to 35 years old) and the type
of movie preferred. A random sample of 93 adults revealed the following data.
Use a Chi-Square independence test to determine if age and type of movie
preferred are independent at the 5% level of significance. 18-23 years old 24-29 years old 30-35 years old TotalsDrama 8 15 11 34Science Fiction 12 10 8 30Comedy 9 8 12 29Totals 29 33 31 93Assume the assumptions of the test are satisfied and state
your conclusion to the test.Note: the p-value =
0.4594 Cannot be determined. The data suggests that age and type of movie preferred are
not independent. The data does not suggest that age and type of movie
preferred are independent. The data does not suggest that age and type of movie
preferred are dependent. The data suggests that age and type of movie preferred are
dependent.Question 17 1
/ 1 pointState the null and alternative hypotheses.It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level. Brown Yellow Red OrangeBlue Green TotalNumber Observed 27 16 21 12 9 15 100State the null and alternative hypotheses. H0: pbrown=0.30
, pyellow=0.20 ,
pred=0.20 , porange=0.10
, pblue=0.10 ,
pgreen=0.10HA: At least one of the stated proportions is not correct. H0: pbrown=0.30
, pyellow=0.20 ,
pred=0.20 , porange=0.10
, pblue=0.10 ,
pgreen=0.10HA: All of the stated proportions are not correct.Question 18 1
/ 1 pointDetermine the critical value.It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level. Brown Yellow Red OrangeBlue Green TotalNumber Observed 27 16 21 12 9 15 100Assume the assumptions of the test are satisfied and
determine the critical value for the test. 12.833 0.05 11.070 5.991Question 19 1
/ 1 pointDetermine the expected count under the null hypothesis.It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a Chi-Square
goodness-of-fit test at a 5% significance level. Brown Yellow Red OrangeBlue Green TotalNumber Observed 27 16 21 12 9 15 100Assume the assumptions of the test are satisfied and
determine the expected number of yellow M&M’s in the bag under the null
hypothesis. 5 10 20 30Question 20 1
/ 1 pointCalculate the test statistic ?2.It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level. Brown Yellow Red OrangeBlue Green TotalNumber Observed 27 16 21 12 9 15 100Assume the assumptions of the test are satisfied and
calculate the test statistic ?2. 4.15 6.47 16.83 20.43Question 21 0
/ 1 pointState your decision regarding the null hypothesis.It has been rumored that the color distribution of M&Ms
is 30% brown, 20% yellow, 20% red, 10% orange, 10% blue, and 10% green. You are suspect of this rumor and decide to
count the number of each color contained in a randomly chosen bag to perform a
Chi-Square goodness-of-fit test at a 5% significance level. Brown Yellow Red OrangeBlue Green TotalNumber Observed 27 16 21 12 9 15 100Assume the assumptions of the test are satisfied and state
your decision regarding the null hypothesis. Reject the null hypothesis. Do not reject the null hypothesis.Question 22 1
/ 1 pointState the null and alternative hypotheses.A study was conducted to determine if there is a
relationship between fan preference of instant replay use and the sport in
which it is applied. The category counts
of 102 fans are provided in the two-way table below. Use a Chi-Square independence test to
determine if fan preference of instant replay use and the sport in which it is
used are independent at the 5% level of significance. Fav

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