PDF Download
STATS TEST 3
Actual Qs and Ans Expert-Verified Explanation
This Exam contains:
-Guarantee passing score -27 Questions and Answers -format set of multiple-choice -Expert-Verified Explanation Question 1: State the confidence interval for the POPULATION PROPORTION of voters who support the proposed levy in a local school district if we have a sample proportion of 0.53 and a margin of error of 0.04
Answer:
CI= p-hat + or - error So, CI= .53 + or - .04
= (.49, .57)
Question 2: Compute the Z-SCORE necessary to construct a confidence interval with the
following levels of confidence:
- 0.90
- 0.85
- 0.78
Answer:
- invNorm(1-(1-c/2)) = +- 1.645
- invNorm(1-(1-c/2)) = +- 1.440
- invNorm(1-c/2) = +- 1.227
*use the longer formula for bigger numbers?
Question 3: Compute the T-SCORE necessary to construct a confidence interval with the
following levels of confidence and sample sizes:
- 0.95, 20
- 0.80, 10
Answer:
**
USE PDF TABLE
**
- C=.95 (95%), n=20
df=20-1= 19 use t chart and find intersection t= 2.093 b.C=.80 (80%), n=10 df=10-9= 9 use t chart to find intersection t= 1.383 Question 4: A random sample of 200 restaurants in the Covington, KY area indicated that 40% of them did not allow smoking. Answer the following questions as they relate to estimation of the
POPULATION PROPORTION:
- State the point estimate for the population proportion of Covington, KY restaurants that allow
- Construct a 95% confidence interval for the population proportion of restaurants in
- Use your interval to compute the margin of error.
- Write a sentence interpreting your 95% confidence interval.
smoking, using correct notation.
Covington, KY that do not allow smoking
Answer:
- q-hat = .60 ( POE is either qh or ph)
b.stats>test>A
(POPULATION PROPORTION))
x=80, n=200, c=.95
=(.332, .4679)
- MOE= interval-interval/2
=.4679-.332/2 =.068
- We are 95% confident that this interval actually contains the true population proportion of restaurants
- Can we use the NORMAL APPROXIMATION? Explain.
- State the null and alternative hypotheses that you would use to test the claim made in
- Compute the appropriate test statistic and its corresponding p-value.
- Using your p-value, make decision about rejecting or not rejecting your null hypothesis
in KY that do not allow smoking.Question 5: According to the 117th edition of Statistical Abstracts, 27% of adults in the United States visited an art museum at least once last year. A random sample of 200 adults in a large city showed that 50 of them had been to an art museum in the past year. Use the P-VALUE method to test to see if the proportion of people in this large city who visit an art museum is at least 27% using ?=0.05.
the problem.
and state your decision about the original claim.
Answer:
- yes, np and nq are >5
b. Ho= p>or=.27, Ha: p<.27
- don't need zc. use
stat
(NORMAL APPROXIMATION, NO SD)
p-value= .262 ztest= -.6371
- p-value (.262) > alpha (.05)= fail to reject Ho. Not enough evidence that the proportion of people in
this large city who visit an art museum is at least 27% using ?=0.05
Question 6: When do we conduct a T-test instead of a Z-test?
Answer:
When we have the sample standard deviation (S) instead of the population SD.
Question 7: Claim: The mean number of pepperoni on a large pizza is different than 75.
- What parameter are you being asked to test?
- Is this claim giving us the null hypothesis or the alternative hypothesis? Explain your
- State the null and alternative hypothesis
- State the Type I and Type II errors
answer.
Answer:
- mean (mu)
- alternative because "different than"
- Ho: mu = 75, Ha: mu =/ 75
- Type I: Reject that the mean number of pepperoni on a large pizza is different than 75, when it's
- State a point estimate for POPULATION MEAN NUMBER concussions experienced.
- Construct a 75% confidence interval for the population mean number concussions
actually true.Type II: Fail to reject that the mean number of pepperoni on a large pizza is equal to 75, when it is actually different than 75.Question 8: A sample of 20 retired NFL wide receivers was asked about the number of concussions they had experienced throughout their careers. The sample showed a mean of 3.7 with a standard deviation of 0.6.
experienced.
Answer:
- ??=3.7 (given)
b.stats n=20, Sx=.6, ??=3.7, C=.75(POPULATION MEAN NUMBER)
=(3.541, 3.859)