Exam 6: Statistical Inference

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A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size

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D

A student wants to determine if pennies are really fair when flipped, meaning equally likely to land heads up or tails up. He flips a random sample of 50 pennies and finds that 28 of them land heads up. If p denotes the true probability of a penny landing heads up when flipped, what are the appropriate null and alternative hypotheses?

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C

The random numbers generated using Excel's RAND function follows a __________ probability distribution between 0 and 1.

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B

The basis for using a normal probability distribution to approximate the sampling distribution of the sample means and population mean is

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A random sample selected from an infinite population is a sample selected such that each element selected comes from the same __________ and each element is selected __________.

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Larger values of α have the disadvantage of increasing the probability of making a

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In order to determine an interval for the mean of a population with unknown standard deviation, a sample of 24 items is selected. The mean of the sample is determined to be 23. The number of degrees of freedom for reading the t value is

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Statistical significance at the 0.01 level is ___________ than significance at the 0.05 level.

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When the expected value of the point estimator is equal to the population parameter it estimates, it is said to be

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Using an α = 0.04, a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the level of significance is decreased, the interval for the population proportion

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The owners of a fast food restaurant have automatic drink dispensers to help fill orders more quickly. When the 12 ounce button is pressed, they would like for exactly 12 ounces of beverage to be dispensed. There is, however, some variation in this amount. The company does not want the machine to systematically over fill or under fill the cups. Which of the following gives the correct set of hypotheses?

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A simple random sample of 31 observations was taken from a large population. The sample mean equals 5. Five is a

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What are the two decisions that you can make from performing a hypothesis test?

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The population parameter value and the point estimate differ because a sample is not a census of the entire population, but it is being used to develop the

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As the number of degrees of freedom for a t distribution increases, the difference between the t distribution and the standard normal distribution

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The CEO of a company wants to estimate the percent of employees that use company computers to go on Facebook during work hours with 95% confidence. He selects a random sample of 150 of the employees and finds that 53 of them logged onto Facebook that day. What is the point estimate of the proportion of the population that logged onto Facebook that day?

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A null and alternative hypothesis for a one proportion z test are given as H0: p = 0.8, Ha: p < 0.8. This hypothesis test is

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A large manufacturing plant has analyzed the amount of time required to produce an electrical part and determined that the times follow a normal distribution with mean time ? = 45 hours. The production manager has developed a new procedure for producing the part. He believes that the new procedure will decrease the population mean amount of time required to produce the part. After training a group of production line workers, a random sample of 25 parts will be selected and the average amount of time required to produce the parts will be determined. If the switch is made to the new procedure, the cost to implement the new procedure will be more than offset by the savings in manpower required to produce the parts. Use the hypotheses: Ho: ? ? 45 hours and Ha: ? < 45 hours. Determine the p value of the test statistic if the sample mean amount of time is xˉ\bar { x } = 43.118 hours with the sample standard deviation s = 5.5 hours.

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You are __________ to commit a Type I error using the 0.05 level of significance than using the 0.01 level of significance.

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The purpose of statistical inference is to make estimates or draw conclusions about a

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