Estimates and sample sizes
If she obtains a random sample of a 100 engineering students from the day campus of which 30 students are female what would her confidence interval be if she needs a confidence level of 95%? a.
If she obtains a random sample of a 100 engineering students from the day campus of which 30 students are female what would her confidence interval be if she needs a confidence level of 95%? a.
You find the following: Democrat Republican Independent Male 52 65 20 Female 88 52 35 Are sex and party affiliation related? Report the appropriate null and research hypotheses and the critical value (alpha = 0.05).
The Capital Bank Marketing Department has recently conducted a study of a sample of the bank's customers. At issue is whether there is a difference between the mean credit card balance between female and male customers.
Use alpha = 0.05. #1 in a salary equity study of faculty at a certain university, the salaries of 50 male assistant professors showed a sample mean of $36,400 with a sample standard deviation of 360, whereas the salaries of 50 female assistant professors
Get at least 3 from each sex (i.e. male/female). Conduct a hypothesis test analysis to determine if there is a statistical difference between the ages of the sexes in the group. Explain your results. Use alpha = .05.
Konica Minolta has also introduced a training program, known as Leadership Training, to raise the involvement of female employees at the managerial level.
A Complete, Neat and Step-by-step Solution is provided in the attached Excel file.
Develop a research question, testable hypothesis, confidence level (i.e. set your alpha level), and degrees of freedom. Draw the appropriate conclusions with respect to female and male human resource manager salary levels.
In this case, the relevant information can be captured by defining a binary variable (also known as a zero-one variable).
For example, you must begin by defining your research problem, follow by data collection, organization, visualization, and then the analysis of the data. 1. Construct a frequency distribution or histogram for each of your variable 2.