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1. Do men and women have different beliefs on the ideal number of children in a family? Based on the following GSS2008 Data and the obtained t statistics, what would you conclude? (0.05)
Men Women
Mean ideal number of children 3.06 3.22
Standard Deviation 1.92 1.99
N 610 610
2. Data from the MTF2008 reveal that 75.7% (493 out of 651) of males and 62.2% (405 out of 651) of females reported trying alcohol. You wonder whether there is any difference between males and females in the population trying alcohol. Use a test of the difference between proportions when answering this question. What is the research hypothesis? Should you conduct a one-or a two-tailed test? Why? Test your hypothesis at the 0.05 level. What do you conclude?
Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
What do you find out when you perform the nonparametric statistics?
Researchers are studying the absorption of two drugs into the bloodstream. Each drug is to be injected at three dosages. There are 24 people in the study, and they are randomly divided into six groups.
Choose three peer C-reviewed research articles and write a short review of each of them that includes the following: Write the problem statement. Name the theoretical model used or briefly describe the overall conceptual model.
An experiment involves rolling a fair six-sided die repeatedly. How many times must the die be rolled for a {6} to result at least once with probability greater than or equal to 0.6 ?
That a sample of 40 females gives an average production which is more than that based on a sample of 36 males by more than 6 items, assuming sampling with replacement, and that, the sample size for the two sexes being the same, the average product..
At the .01 significance level, is there a difference in the mean number of times men and Women order take-out dinners in a month? What is the p -value?
Assuming the standard deviation stays the same, how much do you have to reduce your average production time so that 95% of the time you can deliver the product in under 75 hours?
Calculate the coefficient of determination, given that the linear correlation coefficient, r, is -0.625. What does this tell you about the explained variation and the unexplained variation of the data about the regression line?
Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
Find the critical t-value that corresponds to 90% confidence. Assume 90 degrees of freedom.
Determine the mean number of times the machine was used per day.
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