A university professor believes that some of his students are struggling in the class due to a large amount of assignments in the course. He runs an analysis of all of the classes in the department to determine if there is a relationship between number of assignments in a semester (1, 2, 3, 4, 5, etc., etc.) and final grades (60, 65, 70, 75, 70, etc., etc.). What type of statistical test should be used?

2) A researcher suspects that there is a relationship between substance use and sexual activity among single college students.  What statistical analysis tests would you use for this?

Problem: The number of misdirected luggage cases reported for 5 consecutive weeks at the domestic airport were:   4, 5, 7, 8, 61. Compute the Mean, Median, Range, Interquartile Range, Variance and Standard deviation.

What statistical methods are typically used in an inferential study?

What are some common types of biases that can affect statistical analysis, and how can they be addressed?

It is widely claimed that a histogram is skewed to the left when the median is greater than the mean and to the right when the median is less than the mean. But there are exceptions to this claim. Demonstrate this exception by creating a data set that has at least 15 samples and plot the histogram.

Department of Education was analysing the average mathematics test score in the schools in Victoria. It noticed that there were dramatic differences in scores among the schools. In the attempt to improve the scores of all the schools, department attempted to determine the factors that account for the differences. Accordingly, they took a random sample of 40 schools across the state and for each determined the mean test score last year, the percentage of teachers in the schools who have at least one university degree in mathematics, the mean age and the mean annual income of the mathematics teachers. The following is regression output from Excel.               SUMMARY OUTPUT                     Regression Statistics         Multiple R 0.597512         R Square 0.357021         Adjusted R Square 0.303439         Standard Error 7.724526         Observations 40                     ANOVA             df SS MS F Significance F…

Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?

Explain the differences between independent samples and dependent samples as it applies to statistical testing of data.

One personality test available on the World Wide Web has a subsection designed to assess the "honesty" of the test-taker. You are interested in the mean score, μ, among the general population on this subsection. The website reports that μ is 140, but you have good reason to believe that μ differs from 140. You decide to do a statistical test. You choose a random sample of people and have them take the personality test. You find that their mean score on the subsection is 146 and that the standard deviation of their scores is 22. Based on this information, complete the parts below. A. What are the null hypothesis H0 and the alternative hypothesis H1 that should be used for the test? H0: H1: B. Suppose you decide to reject the null hypothesis. Would you be making a type I or type II error?