CH 7 TEST 1 PREP QMB3200 UCF QUESTIONS AND ANSWERS 2024

The central limit theorem is important in Statistics because it: enables reasonably accurate probabilities to be determined for events involving the sample average when the sample size is large regardless of the distribution of the variable. A simple random sample of size n from an infinite population of size N is to be selected. Each possible sample should have: the same probability of being selected. The distribution of values taken by a statistic in all possible samples of the same size from the same population is the sampling distribution of: the sample. The probability distribution of all possible values of the sample proportion is the: sampling distribution of pbar . Parameters are: numerical characteristics of a population. Sample statistics, such as x̅ , s, or p̅, that provide the point estimate of the population parameter are known as: point estimators. When drawing a sample from a population, the goal is for the sample to: match the targeted population. The medical director of a company looks at the medical records of all 50 employees and finds that the mean systolic blood pressure for these employees is 126.07. The value of 126.07 is: a parameter. The central limit theorem states that: if the sample size n is large, then the sampling distribution of the sample mean can be approximated by a normal distribution. Which of the following is not a symbol for a parameter? s A simple random sample of size n from an infinite population is a sample selected such that: each element is selected independently and is selected from the same population. The standard deviation of a point estimator is called the: standard error. Doubling the size of the sample will: reduce the standard error of the mean. The population we want to make inferences about is called the: target population. The distribution of values taken by a statistic in all possible samples of the same size from the same population is called a: sampling distribution. In a recent Gallup Poll, the decision was made to increase the size of its random sample of voters from 1500 people to about 4000 people. The purpose of this increase is to: reduce the standard error of the estimate. 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: n has the same probability of being selected. Which of the following statements regarding the sampling distribution of sample means is incorrect? The standard deviation of the sampling distribution is the standard deviation of the population. The value of the _____ is used to estimate the value of the population parameter. sample statistic Which of the following is a point estimator? s Which of the following is a nonprobability sampling technique? Judgment sampling Cluster sampling is: a probability sampling method. In computing the standard error of the mean, the finite population correction factor is used when: n/N>.05 The sampling distribution of pbar is the: probability distribution of all possible values of the sample proportion. Which of the following is(are) true? II. The standard deviations of two different samples from the same population may be the same. III. Statistical inferences can be used to draw conclusions about the populations based on sample data. A sample of 92 observations is taken from an infinite population. The sampling distribution of xbar is approximately: normal because of the central limit theorem. A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation of the contents (i.e., of the population) is .22 ounces. In this problem, the value .22 ounces is: a parameter. A doctor would like to determine if there is a difference between the blood pressure of people who walk every day for 60 minutes and those who walk one day per week for 60 minutes. Fifty of her patients who report that they have routinely walked 60 minutes every day for the past two years and 50 who report that they have walked 60 minutes only one day per week will be identified. The doctor will examine their medical records and collect their blood pressure readings over this two-year period. This is an example of a(n): observational study.