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Lisa Evergin

Question 9.18 in Practicing the Basics on page 427

For testing :p = 0.50 against Ha:p =:p.0.50 show the test statistic z=2.56

Z score- 2.556 p = .0106. There is a bell curve and there is

Show that the p-value is 0.0104

Z score= 39.03124139

P= 0

P=.7333333333

N=30

Check the assumptions needed for this test and discuss the limitations due to using a convenience sample rather than a random sampleQuestion 9.22 in Practicing the Basics on page 427 Question 9.31 in Practicing the Basics on page 440Question 9.50 in Practicing the Basics on page 446

Identifying the variable and parameter and defining notation

Variable is quantitative

p

Stating hypothesis and checking assumptions for a large sample test

That 50.1% of the vote designates who the winner is 0.501%

Reporting the P-value and interpreting it (the test statistic equals 0.09)

Z=39.03124139

P=0

P=.73333333

N=30 b

Explaining how to make a decision for the significance level of 0.05

9.31

a. Identifying the relevant variable and parameter

b. Stating null and alternative hypothesis

c. Reporting and interpreting the P-value for the test statistic value of t = 10.7

d. Explaining how to make a decision for the significance level of 0.01

9.50

a. For the PSA test explain what a Type I error is k and explain the consequence to a man of this type of error.

b. For the PSA test explain what a Type II error? What is the consequence to a man of type of error?

c. To which type of error does the probability of 1 in 4 refer?

d. The article also stated that if your receive a positive result the probability that you do not actually have prostate cancer is 2/3. Explain the difference between this and the conditional probability of a Type I error given that you do not have prostate cancer.

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