III.IV. From choices (a) through (e), identify the correlation of the following graphs. a).44 b).98 c).92 d) -.89 e) -.99

For each pair of mean and median, determine which description best describes a distribution having those measures of center: 1.slightly skewed left 2.slightly skewed right 3.strongly skewed right 4.strongly skewed left 5.approximately symmetric a.mean = 24.1, median = 29.1 b.mean = 29.7, median = 29.1 c.mean = 32.5, median = 31.2 d.mean = 29.6, median = 24.2

Dr. Hunter had just given an exam to nine students. These were their grades: Find the 5-Number Summary of these scores. Make a stemplot of the scores.

A student wonders if people of similar heights tend to date each other. She measures herself, her dormitory roommate, and the women in the adjoining rooms; then she measures the next man each woman dates. Here are the data (heights in inches) Women Men Sketch a scatterplot of these data. Describe the pattern you observe. Which of the following statements is true? 1.The variables measured are all categorical. 2.There is a negative correlation between the heights of men and women, since the women tend to be shorter than the men they date. 3.There is a positive correlation between the heights of men and women. 4.Correlation makes no sense here since gender is a categorical variable.

The correlation coefficient measures A)whether there is a relation between two variables. B)whether or not a scatterplot shows an interesting pattern. C)whether a cause and effect relation exists between two variables. D) the strength of a straight line relation between two variables.

Scores on a certain IQ tend to be Normally distributed with mean 125 and standard deviation 4.5. What percentage of scores are higher than 130? How low are the lowest 25% of scores?

Association Is Not Causation Give an example of two variables illustrating this principle. For your example, what third, lurking variable might explain the association?

Influential Observations Sketch a scatterplot with an influential observation that is an outlier in the y variable. Sketch a scatterplot with an influential observation that is an outlier in the x variable. Sketch a scatterplot with an outlier in the y variable that is not influential.