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Rumor has it going to class and reading a text book will improve your chances of doing well in your stats class. You notice that there are 4 students that always go to class and review the text book everyday. To determine if rumours are true, you ask those 4 students their marks on the quiz and find out thier marks are: 60,60,61,67. Based on these scores and the knowledge that the exam scores are normally distributed (hypothesized pop mean is 50 and standard deviation of 10)what can you conclude about going to class and reviewing the text book everyday? do you reject or fail to reject the null hypothesis? What is the effect size? assuming a=0.05, state your hypothesis for a one tailed test, the critical test statistic, your conclusion?
Compute the variance and standard deviation of the number that will arrive within two days.
A sample of 20 pages was taken without replacement from the 1,591-page phone directory Ameritech Pages Plus Yellow Pages.
Suppose that the scores of architects on a particular creativity test are normally distributed.
What proportion of the variability in steel shipments for motor vehicles is described by regression equation?
A psychology professor is interested in whether implementing weekly quizzes improves student learning. She decides to use the weekly quizzes in one section of her introductory psychology class and not to use them in another section of the same cou..
One box contains five red and six black marbles. A second box contains 10 red and five black marbles. One marble is drawn from box 1 and placed in box 2.
A car manufacturer tests the first 1,000 cars coming off the assembly line to see if their new anti-lock braking system works correctly. Use the typical values for control limits.
Perform a significance test to see if there is a relation between mortality and duration of employment in the group hired AFTER 1945 and report a p-value.
Use MegaStat's output for multiple regression to determine the multiple regression equation
The Problem Solving Inventory (PSI) has a normal distribution with mean = 90 and standard deviation = 15. A researcher suspects that the mean for female students is higher than 90.
Differentiate between descriptive statistics and inferential statistics. Provide an example for each. How does correlation analysis differ from regression analysis? What does a correlation coefficient reveal? Is correlation the same as causation?
Consider the following age data, which is the result of selecting a random sample of 20 United Airlines pilots.
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