Pndan Stats Chap 7,8,9
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Be sure to calculate and think about the questions!
- 1.What is the test of a hypothesis?
- A.
A statement that specifies the value of a population parameter.
- B.
A statement that confirms the truth of the data.
- C.
A statistical procedure which can be used to determine the exact value of a population parameter.
- D.
What the experimenter wants to support as being true.
- E.
A conjecture about the nature of a population
- 2.What is a test statistic?
- A.
A quantity calculated from the sample that is used when making a decision about the hypotheses of interest.
- B.
A quantity that helps a person understand the statistics behind the population
- C.
A quantity that describes a sample.
- D.
A quantity that measures the probability of accepting H0 when, in fact, Ha is true.
- 3.Changing the significance level would change the _________ of the statistical test of hypothesis.
- 4.It has been observed that some persons who suffer renal failure are diagnosed with it again within one year of the first episode. This is due, in part, to damage from the first episode. In order to examine the percentage of the persons who suffer renal failure a second time, a random sample of 1000 people who suffered renal failure was collected and it was observed that 14 of them again suffered renal failure within one year. Select a 90% confidence interval [__,__] for the true proportion of those who suffer a second episode. Use the appropriate table in your book.
- A.
[0.0109.0.0501]
- B.
[0.00786,0.0201]
- C.
[0.00886,0.0401]
- D.
[0.0129,0.0301]
- E.
[0.00886,0.0701]
- 5.It has been observed that some persons who suffer renal failure are diagnosed with it again within one year of the first episode. This is due, in part, to damage from the first episode. In order to examine the percentage of the persons who suffer renal failure a second time, a random sample of 1100 people who suffered renal failure was collected and it was observed that 17 of them again suffered renal failure within one year. Select the conditions that assure the validity of a confidence interval for the true proportion of those who suffer a second episode. Click here for the list of Conditions.
- A.
(1 , 8 , 11)
- B.
( 8 , 11 )
- C.
( 9 , 11 )
- D.
( 1 , 8 )
- E.
(1 , 9 , 11)
- 6.What is the formula to get the sample size with 99% confidence?
- A.
N= (2.58s^2)/ (B^2)
- B.
N= ( 6.65s^2)/ (B)
- C.
N= (6.65s)/ (B^2)
- D.
N=(6.65 s^2)/ (B^2)
- E.
N= (2.58s^2)/ (B)
- 7.Definition fo Bound on the error of estimation is:
- A.
The farthest we believe that the level of significance coud be from the mean fo the population
- B.
The farthest we believe that the mean of the sample could be from the mean of the population
- C.
The closest we believe that the mean of the sample could be from the mean of the population
- D.
The closest we believe thath the number of samples taken is close to the number in the population
- E.
The farthest we believe that the number in the population could equal the mean.
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