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The Human Resources Director for a large company is studying absenteeism among hourly workers. A sample of 120 day shift employees showed 15 were absent more than five days last year. A sample of 80 afternoon employees showed 18 to be absent five or more times. At the 0.01 significance level can we conclude that there is a higher proportion of absenteeism among afternoon employees?
a. State the null and alternate hypotheses.
H0:H1:
b. Find the critical value:c. Compute the value of the test statistic.d. Calculate the p-value.d. What is your decision regarding the null hypothesis?
A data set of ordered pairs with a negative linear correlation has a coefficient of determination of 85.2%. What is the linear correlation coefficient?
Airlines monitor the causes of flights arriving late. 75% of flights are late because of weather, 35% of flights are late because of ground operations. 10% of flights are late because of weather and ground operations.
A large university says the mean number of classroom hours per week for full-time faculty is more than 9. A random sample of the number of classroom hours for full-time faculty for one week is listed. At 945; = 0.05 , test the university's claim.
Type the above data into the SPSS Data Editor window, or save this file as an unformatted text file and write SPSS syntax to read it in.
Standard deviation of this poll is 4%. What would be standard deviation if sample size were increased from 83 to 190?
For an examination in which grades of 70 and 88 correspond to standard scores of -0.6 and 1.4 respectively. Find:
The random variable x is known to be uniformly distributed between 1.0 and 1.5.
A researcher determines that 42.7% of all downtown office buildings have ventilation problems. Is this a statistic or a parameter; explain your answer.
An estimated regression coefficient is 10 with a standard error of 5. The null hypothesis is that the partial regression coefficient equals one.
Create a scatter plot for the data. Determine the correlation coefficient for the data.
Correlation between the two variables - Evaluate the value of the correlation coefficient.
Divide your data in half, your first 8 observations and your last 7 observations. Then use ANOVA to test to see if there is a significant difference between the two halves of your data. This list of Webpages that Perform Statistical Calculations h..
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