Question

In: Statistics and Probability

The manager of a computer software company wishes to study the number of hours per week...

The manager of a computer software company wishes to study the number of hours per week senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry?

Banking Retail Insurance
32 28 30
30 28 28
30 26 26
32 28 28
30 30 30

Complete the ANOVA table.

Source SS df MS F
Treatments
Error

Solutions

Expert Solution

Following table shows the groups totals:

Banking, G1 Retail, G2 Insurance, G3
32 28 30
30 28 28
30 26 26
32 28 28
30 30 30
Total 154 140 142

Following table shows the grand total and sum of squares of values:

G G^2
32 1024
30 900
30 900
32 1024
30 900
28 784
28 784
26 676
28 784
30 900
30 900
28 784
26 676
28 784
30 900
Total 436 12720

Conclusion: There is evidence, at the 0.05 significance level, that there is a difference in the mean number of hours spent per week by industry.


Related Solutions

The manager of a computer software company wishes to study the number of hours per week...
The manager of a computer software company wishes to study the number of hours per week senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry? Banking Retail Insurance 32 28 30 30 28 28 30 26 26 32 28 28 30 30...
The manager of a computer software company wishes to study the number of hours per week...
The manager of a computer software company wishes to study the number of hours per week senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry? Banking Retail Insurance 32 28 30 30 28 28 30 26 26 32 28 28 30 30...
The manager of a computer software company wishes to study the number of hours senior executives...
The manager of a computer software company wishes to study the number of hours senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry? Banking Retail Insurance 32 28 30 30 28 28 30 26 26 32 28 28 30 30 30
The manager of a computer software company wishes to study the number of hours senior executives...
The manager of a computer software company wishes to study the number of hours senior executives by type of industry spend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours spent per week by industry? Banking Retail Insurance 32 28 30 30 28 28 30 26 26 32 28 28 30 30 30 PLEASE...
1. The number of hours that biology students study per week is normally distributed with a...
1. The number of hours that biology students study per week is normally distributed with a mean of 15 hours and a standard deviation of 5 hours. a. Draw an approximate picture of the distribution of weekly hours studied for biology students. b. If a student is chosen at random, what is the probability that the student studies less than 11 hours per week? Include a picture that graphically shows the portion of students that study less than 11 hours...
In a recent study of 53 ninth-grade students, the mean number of hours per week that...
In a recent study of 53 ninth-grade students, the mean number of hours per week that they played video games was 72. The standard deviation of the population was 4.3. Find the 84% confidence interval for the mean of the time playing video games.
The number of hours per week that the television is turned on is determined for each...
The number of hours per week that the television is turned on is determined for each family in a sample. The mean of the data is 3535 hours and the median is 31.231.2 hours. Twenty-four of the families in the sample turned on the television for 2020 hours or less for the week. The 6th percentile of the data is 2020 hours. Step 2 of 5: Approximately how many families are in the sample? Round your answer to the nearest...
Below is the the number of hours of TV watched by boys and girls per week....
Below is the the number of hours of TV watched by boys and girls per week. Using the data on the number of hours of TV viewing, test the hypothesis that the number of hours of TV watched by girls is less than 7.4 hours per week at a 2% significance level. State the null hypothesis, H0 and the alternative hypothesis, H1 Observation Number of hours of TV viewed by Boy Number of hours of TV viewed by Girl 1...
Below is the the number of hours of TV watched by boys and girls per week....
Below is the the number of hours of TV watched by boys and girls per week. Using the data on the number of hours of TV viewing, test the hypothesis that the number of hours of TV watched by girls is less than 7.4 hours per week at a 2% significance level. Determine the critical values that divide the rejection and nonrejection regions Observation Number of hours of TV viewed by Boy Number of hours of TV viewed by Girl...
A survey on the number of hours a college student works per week showed that the...
A survey on the number of hours a college student works per week showed that the hours varied from 5 to 61 where 5 was the lowest number and 61 was the highest number. Determine the class width, classes, class marks and class boundaries of a frequency distribution table if the work hours were grouped using 8 classes. You can make a table to help you do this. Note: there is no frequency column.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT