Question

In: Statistics and Probability

The following data are scores on a standardized statistics examination for independent random samples of students...

The following data are scores on a standardized statistics examination for independent random samples of students from two small liberal arts colleges.

College A: 78, 84, 81, 78, 76, 83, 79, 75, 85, 81

College B: 89, 78, 83, 85, 87, 78, 85, 94, 88, 87

Calculate the sample variance (or standard deviation) for each college.

For the test of homogeneity,

Ho: σ²A = σ²B

Ha: σ²A ≠ σ²B

calculate the test statistic F'.

For α = 0.05, specify the critical region for the test of homogeneity and make a decision about Ho.

Find the P-value and compare to α = 0.05.

Solutions

Expert Solution

Answer:-

F critical = F​​​​​9,9,0.05/2 = 4.03 ( for two sided region)

Reference

Decision :- F < F critical , So we may accept Ho.

Conclusion :- College A and College B has homogeneous variance

P-value at alpha = 0.05 and F = 2.102

P-value = 0.284

Conclusion :- P-value > alpha , so we may accept Ho.

,

Thanks dear student


Related Solutions

For a standardized psychology examination intended for psychology majors, the historical data show that scores have...
For a standardized psychology examination intended for psychology majors, the historical data show that scores have a mean of 515 and a standard deviation of 170 . The grading process of this year's exam has just begun. The average score of the 40 exams graded so far is 490 . What is the probability that a sample of 40 exams will have a mean score of 490 or more if the exam scores follow the same distribution as in the...
Given the data on scores of students final grade in statistics (in percent) determine the following...
Given the data on scores of students final grade in statistics (in percent) determine the following statistics. 43 45 48 51 53 54 57 59 60 60 60 60 61 70 70 71 71 72 72 72 75 76 76 79 81 81 83 85 87 88 88 89 89 91 92 93 96 98 98 99 100 101 101 Assume students are only allowed to transfer the class if they receive a grade of 70 % or above. Use...
Given the data on scores of students final grade in statistics (in percent) determine the following...
Given the data on scores of students final grade in statistics (in percent) determine the following statistics. 43           45           48           51           53           54           57           59           60           60           60           60           61 70           70           71           71           72           72           72           75           76           76           79           81           81 83           85           87           88           88           89           89           91           92           93           96           98           98 99           100         101         101 1.       Create a relative frequency distribution table and histogram to determine the percentage of students getting a particular grade in statistics class. Do this by separating into 7 different classes by using 40’s, 50’s, 60’s, 70’s, 80’s, 90’s, 100’s. This will essentially be a table and graph of the probability distribution for final grade. 2.       Determine the following a.       What is the...
Suppose that one of the students takes the examination answers each of the questions with an independent random guess.
Suppose that one of the students takes the examination answers each of the questions with an independent random guess. Let Y be the number of questions answered correctly. If Y has a binomial distribution, compute P(Y<7). Compute P(1<Y<5).
You took independent random samples of 20 students at City College and 25 students at SF...
You took independent random samples of 20 students at City College and 25 students at SF State. You asked each student how many sodas they drank over the course of a year. The sample mean at City College was 80 and the sample standard deviation was 10. At State the sample mean was 90 and the sample standard deviation was 15. Use a subscript of c for City College and a subscript of s for State. Calculate a point estimate...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.9 6.4 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.7 5.2 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.6 1.9 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.9 6.1 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.9 5.1 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.5 1.9 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.6 6.3 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.9 5.2 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.5 1.9 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.3 5.7 6.5 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.8 5.2 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.5 1.7 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.6 6.2 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.7 5.1 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.6 1.9 1.4 1.5 1.5 1.6...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT