Question

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test if age and type are movie
preferred are independent at the 0.05 level. Person’s AgeMovie
18-23 yr 24-29 yr 30-35 yr Total Musical 8 15 11 34 Science Fiction
12 10 8 30 Comedy 9 8 12 29 Total 29 33 31 93 **Need help in
getting this solved. Solution steps given are not clear. How to
find critical value and p to validate decision rule Don't
understand Step 3 solution. If you instead find critical value it
will be great**

Answer #1

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
8
12
14
34
Science Fiction
14
8
8
30
Comedy...

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
6
14
14
34
Science Fiction
12
9
9
30
Comedy...

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
7
16
11
34
Science Fiction
11
12
7
30
Comedy...

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
9
12
13
34
Science Fiction
14
11
5
30
Comedy...

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
7
12
15
34
Science Fiction
14
9
7
30
Comedy...

Mr. Acosta, a sociologist, is doing a study to see if there is 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. Test whether age and type of movie
preferred are independent at the 0.05 level.
Person's
Age
Movie
18-23
yr
24-29
yr
30-35
yr
Row
Total
Drama
9
15
10
34
Science Fiction
9
10
11
30
Comedy...

You want to see if there is a statistical difference between the
two groups. Run descriptives and a two-tailed, two sample assuming
equal variance t-test.
Here's your data:
Weight of Apples in Grams
Apple ID
Farm A
Farm B
1
131
151
2
147
159
3
134
162
4
134
158
5
136
159
6
137
160
7
140
150
8
134
160
9
136
160
10
133
160
11
134
160
12
132
158
13
139
162
14
136...

A treadmill manufacturer has developed a new machine with softer
tread and better fans than its current model. The manufacturer
believes these new features will enable runners to run for longer
times than they can on its current machines. To determine whether
the desired result is achieved, the manufacturer randomly sampled
35 runners. Each runner was measured for one week on the current
machine and for one week on the new machine. The weekly total
number of minutes for each...

Create two new columns that separate the analytic GRE scores
into males and females
ID
Gender
Ethnicity
Age
Science Type
Student Status
Verbal GRE
Quantitative GRE
Analytic GRE
College GPA
Graduate GPA
1
Female
White
24
Social
Full Time
450
500
550
3.14
3.42
2
Female
White
25
Social
Full Time
480
580
450
3.11
3.34
3
Female
White
30
Social
Full Time
610
650
680
3.62
3.79
4
Female
White
30
Social
Full Time
540
550
560
3.15
3.46...

Perform a one-sample t-test to determine if the average
quantitative GRE score is significantly lower than 600 (use α =
0.05). Be sure to report the test statistic and
p-value.
ID
Gender
Ethnicity
Age
Science Type
Student Status
Verbal GRE
Quantitative GRE
Analytic GRE
College GPA
Graduate GPA
1
Female
White
24
Social
Full Time
450
500
550
3.14
3.42
2
Female
White
25
Social
Full Time
480
580
450
3.11
3.34
3
Female
White
30
Social
Full Time
610
650...

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