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Question: 1. Explain what it means when a correlation has an r 2 of 0.72.
2. Can a coefficient of determination be negative? Why or why not?
3. If the level of significance is 0.05 and the p-value is 0.06, what conclusion can you draw?
4. If there are 15 data points in a set of data, what is the number of degree of freedom?
for a distribution of scores x40 corresponds to a z-score of z -1.00 and x 42 corresponds to a z-score of z -.50. what
A sample of 60 students from a large university is taken. The average age in the sample was 22 years with a standard deviation of 6 years.
Suppose three films were directed by women. Is there any evidence to suggest that the proportion of films directed by women is different from 0.17? Justify your answer.
Is the quality of a car affected by what day it was built? A car manufacturer examines a random sample of the warranty claims filed over the past two years to test whether defects are randomly distributed across days of the work week.
Develop a probability tree showing all marginal, conditional, and joint probabilities and what is the probability that a student selected at random failed the test?
Write a short report that includes an introduction, a conclusion paragraph and a body which answers fully the two questions posed in the problem - Comparing the preceding probabilities, which areas seem strongest and weakest in terms of the amount..
a television station claims that its monday night movie regularly has 35 percent of the total viewing audience. if this
Criticize the following definitions in light of the eight rules for lexical definitions:- "Normal" means an attribute possessed by people who are able to get on in the world.
What statistical test would you use to test if the two treatments were equally effective? What statistical program would you use to obtain the results?
the jones family had a total income of 73000 and paid 22 of their income to taxes. the brown family had a total income
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 67%.
The producer's risk in a sampling program is 0.05 and the consumer's risk is 0.10; the AQL is 0.03 and the LTPD is 0.07. (a) What is the probability of accepting a lot whose true proportion of defectives is 0.03?
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