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Specify the type (categorical, ordinal, quantitative) for each of the following variables recorded in a survey of telephone usage in student households:
a. Telephone exchange (first three numbers after area code).
b. Number of telephones in the household.
c. Dollar amount of last month's phone bill.
d. Long-distance phone company used.
Draw the model for these IQ scores. Clearly label it, showing what the 68 - 95 - 99.7 Rule predicts about the scores.- In what interval would you expect the central 95% of IQ scores to be found?
Test the hypothesis that whether it rains tomorrow is independent of the color of today's sunset.
If you have a population that has a small sample, but does not meet all of the criteria for the nonparametric test how can you tell what test to use?
What are the assumptions of a correlated-groups t-test? What measure of effect size is used for a correlated groups t-test?
If one employee is randomly selected, find the decimal probability (four decimal places) that his/her commute takes the following amount of time.
What is the probability that a random sample of 36 students will have a mean verbal sat score that is great than 535?
What score was earned by more students than any other score? Why? What was the highest score earned on the exam?
Dana and Cathy are playing tennis. The probability that Dana wins at least one out of two ames is 0.3. What is the probability that Dana wins at least one out of four?
Describe why there is a big emphasis placed on auditing cash and cash equivalents. Address the following:
Does the overall data support the mayor's claim?
An analyst wishes to include number of older siblings in family as a predictor variable in a regression analysis of factors affecting maturation in eighth graders. The number of older siblings in the sample observations ranges from 0 to 4.
Can we conclude a difference in means? YES or NO (circle one)
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