statistics
posted by BOB .
Each person in random sample of 247 male and 253 female working adults living in Calgary, Canada was asked how long, in minutes, his or her typical daily commute was. use the accompanying summary statistics and an appropriate hypothesis test to determine if there is convincing evidence that the mean commute times for male and female working Calgary residents differ. Use a significance level of alpha=.05
males females
sample xbar s sample size xbar s
247 , 29.6, 24.3  253, 27.3,24.0

statistics 
PsyDAG
Follow the process indicated in your later post.
Respond to this Question
Similar Questions

Statistics Help
Six candidates for a new position of vicepresident for academic affairs have been selected. Three of the candidates are female. The candidates’ years of experience are as follows. Candidate Experience Female 1 Female 2 Female 3 … 
statistics
Assuming that the population variances are equal for Male and Female GPA’s, test the following sample data to see if Male and Female PhD candidate GPA’s (Means) are equal. Conduct a twotail hypothesis test at á =.01 to determine … 
statistics
A random sample of 80 youths and a second random sample of 120 adults showed that 18 of the youths and 10 of the adults had been ticketed for careless driving. Use a 1% level of significance to test the claim that youth have a higher … 
Statistics
18 workers at a large assembly plant were asked the time it took to commute to work. The data was analyzed in Minitab and the Descriptive Statistics for the data appears below. Descriptive Statistics: Minutes Variable N Mean Median … 
Probability and Statistics
The proportion of adults living in a small town who are college graduates is estimated to be p = 0.6. To test this hypothesis, a random sample of 15 adults is selected. If the number of college graduates in the sample is anywhere from … 
Probability and Statistics
The proportion of adults living in a small town who are college graduates is estimated to be p = 0.6. To test this hypothesis, a random sample of 15 adults is selected. If the number of college graduates in the sample is anywhere from … 
Probability and Statistics
The proportion of adults living in a small town who are college graduates is estimated to be p = 0.6. To test this hypothesis, a random sample of 15 adults is selected. If the number of college graduates in the sample is anywhere from … 
Probability and Statistics
The proportion of adults living in a small town who are college graduates is estimated to be p = 0.6. To test this hypothesis, a random sample of 15 adults is selected. If the number of college graduates in the sample is anywhere from … 
Probability and Statistics
The proportion of adults living in a small town who are college graduates is estimated to be p = 0.6. To test this hypothesis, a random sample of 15 adults is selected. If the number of college graduates in the sample is anywhere from … 
Statistics
Daily water intake (including water used in drinks such as coffee, tea and juice) for Canadian adults follows a normal distribution with mean 1.86 litres and standard deviation 0.29 litres. (a) Can you calculate the probability that …