Exam 7: Estimating Parameters and Determining Sample Sizes

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Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. n=130, x=69 ; 90% confidence

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In general, what does "degrees of freedom" refer to? Find the degrees of freedom for the given information, assuming that you want to construct a confidence interval estimate of μ:\mu : Six human skulls from around 4000 B.C. were measured, and the lengths have a mean of 94.2 mm and a standard deviation of 4.9 mm.

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Use the given degree of confidence and sample data to construct a confidence interval for the population mean μ. Assume that the population has a normal distribution. Thirty randomly selected students took the calculus final. If the sample mean was 95 and the standard deviation was 6.66.6 , construct a 99%99 \% confidence interval for the mean score of all students.

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Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places. 98% confidence; the sample size is 800, of which 40% are successes

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Find the degree of confidence used in constructing the confidence interval 0.523<p<0.6690.523 < p < 0.669 - for the population proportion p using sample data with n=109, x=65 .

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In constructing a confidence interval for σ\sigma or σ2\sigma ^ { 2 } , a table is used to find the critical values χL2 and χR2\chi _ { \mathrm { L } } ^ { 2 } \text { and } \chi _ { \mathrm { R } } ^ { 2 } for values of n101n \leq 101 For larger values of n, χL2 and χR2\chi _ { \mathrm { L } } ^ { 2 } \text { and } \chi _ { \mathrm { R } } ^ { 2 } can be approximated by using the following formula: χ2=12±zα/2+2k12\chi ^ { 2 } = \frac { 1 } { 2 } \pm z _ { \alpha / 2 } + \sqrt { 2 k - 1 } ^ { 2 } where k is the number of degrees of freedom and zα/2z _ { \alpha / 2 } is the critical z-score. Construct the 90 % confidence interval for σ\sigma using the following sample data: a sample of size n=232 yields a mean weight of 154 lb and a standard deviation of 25.5 lb. Round the confidence interval limits to the nearest hundredth.

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Which of the following critical values is appropriate for a 98% confidence level where n=7 ; σ=27\sigma = 27 and the population appears to be normally distributed.

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Draw a diagram of the chi-square distribution. Discuss its shape and values

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Express the confidence interval 0.039<p<0.4790.039 < p < 0.479 in the form of p^±E\hat { p } \pm \mathrm { E }

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Define margin of error. Explain the relation between the confidence interval and the margin of error. Suppose a confidence interval is 9.65<μ<11.359.65 < \mu < 11.35 Redefine the confidence interval into a format using the margin of error and the point estimate of the population mean.

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Use the given degree of confidence and sample data to construct a confidence interval for the population mean μ\mu Assume that the population has a normal distribution. A laboratory tested twelve chicken eggs and found that the mean amount of cholesterol was 185 milligrams with s=17.6 milligrams. Construct a 95% confidence interval for the true mean cholesterol content of all such eggs.

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The margin of error ________ ________ (increases or decreases)with an increase in confidence level.

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To find the standard deviation of the diameter of wooden dowels, the manufacturer measures 19 randomly selected dowels and finds the standard deviation of the sample to be s=0.16 . Find the 95 % confidence interval for the population standard deviation σ\sigma

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Find the value of zα/2z _ { \alpha / 2 } that corresponds to a confidence level of 89.48%.

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Describe the steps for finding a confidence interval

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Identify the correct distribution (z, t, or neither)for each of the following Identify the correct distribution (z,t , or neither) for each of the following. Sample Size Standard Deviation Shape of the Distribution z or t or neither n=35 s=4.5 Somewhat skewed n=20 s=4.5 Bell shaped n=35 \sigma=4.5 Bell shaped n=20 \sigma=4.5 Extremely skewed

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Find the critical value zα/2z _ { \alpha / 2 } that corresponds to a 91% confidence level.

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Interpret the following 95 % confidence interval for mean weekly salaries of shift managers at Guiseppe's Pizza and Pasta. 325.80<μ<472.30325.80 < \mu < 472.30

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Express a confidence interval defined as (0.432,0.52) in the form of the point estimate _____ ±\pm the margin of error______ Express both in three decimal places.

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Use the given degree of confidence and sample data to construct a confidence interval for the population mean μ.\mu . Assume that the population has a normal distribution. A laboratory tested twelve chicken eggs and found that the mean amount of cholesterol was 185 milligrams with s=17.6 milligrams. A confidence interval of 173.8mg<μ<196.2173.8 \mathrm { mg } < \mu < 196.2 mg is constructed for the true mean cholesterol content of all such eggs. It was assumed that the population has a normal distribution. What confidence level does this interval represent?

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