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Published byMaud Palmer Modified over 6 years ago

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Quiz 6 Confidence intervals z Distribution t Distribution

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**1. What are the z-values for a 90th-percentile confidence interval?**

b) ±1.645 c) ±1.960 d) ±2.000

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2. Calculate the 95th-percentile CI given a sample mean of 110 cm, sample size of 50 and SD of 25.0 cm. a) 85.0 < m < cm b) 61.0 < m < cm c) < m < cm d) < m < cm

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3. Determine the t-values for the 95th-percentile confidence interval (CI) given a sample size of n = 12? a) ±2.201 b) ±2.179 c) ±1.960 d) ±1.796

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**4. Calculate the 95th-percentile CI given a sample mean of 11**

4. Calculate the 95th-percentile CI given a sample mean of s, sample size of 12 and SD of 2.00 s? a) 9.50 > m > s b) > m > s c) > m > s d) > m > s

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**5. The t-distribution approaches the shape of the standard normal (z) distribution _______?**

a) as sample size decreases b) as sample standard deviation increases c) as sample size increases d) as sample mean approaches zero

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**6. What condition is NOT necessary for using the standard normal distribution for computing CIs?**

a) data are approximately normally distributed b) population SD (s) is known c) sample size greater than 30 d) data are independent

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7. Compute the margin of error (E) for a sample size of 20 and a SD of 5.00 for an 80% confidence interval. a) 1.118 b) 1.500 c) 1.328 d) 1.485

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8. Estimate the sample size needed to be 80% confident that the population mean is within 25 watts given s = W. a) 3 b) 6 c) 7 d) 49

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