Distributions Identify the distribution (normal, Student t , chi-square) that should be used in each of the following situations. If none of the three distributions can be used, what other method could be used? a. In constructing a confidence interval of μ , you have 75 sample values and they appear to be from a population with a skewed distribution. The population standard deviation is not known. b. In constructing a confidence interval estimate of μ , you have 75 sample values and they appear to be from a population with a skewed distribution. The population standard deviation is known to be 18.2 cm. c. In constructing a confidence interval estimate of σ , you have 75 sample values and they appear to be from a population with a skewed distribution. d. In constructing a confidence interval estimate of σ , you have 75 sample values and they appear to be from a population with a normal distribution. e. In constructing a confidence interval estimate of p , you have 1200 survey respondents and 5% of them answered “yes” to the first question.
Distributions Identify the distribution (normal, Student t , chi-square) that should be used in each of the following situations. If none of the three distributions can be used, what other method could be used?
a. In constructing a confidence interval of μ , you have 75 sample values and they appear to be from a population with a skewed distribution. The population standard deviation is not known.
b. In constructing a confidence
c. In constructing a confidence interval estimate of σ , you have 75 sample values and they appear to be from a population with a skewed distribution.
d. In constructing a confidence interval estimate of σ , you have 75 sample values and they appear to be from a population with a
e. In constructing a confidence interval estimate of p , you have 1200 survey respondents and 5% of them answered “yes” to the first question.
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