BMAL 590 Statistics Questions (Pass with Distinction)

BMAL 590 Statistics Questions (Pass with Distinction) Section 1: What is Statistics? 1. You take a random sample of 100 students at your university and find that their average GPA is 3.1. If you use this information to help you estimate the average GPA for all students at your university, then you are doing what branch of statistics? Descriptive statistics Inferential statistics Sample statistics Population statistics 2. The significance level of a statistical inference measures the proportion of times a conclusion about a population will be correct in the long run. the proportion of times a conclusion about a population will be wrong in the long run. the proportion of times an estimation procedure will be correct in the long run. the proportion of times an estimation procedure will be wrong in the long run. 3. The confidence level of a statistical inference measures the proportion of times a conclusion about a population will be correct in the long run. the proportion of times a conclusion about a population will be wrong in the long run. the proportion of times an estimation procedure will be correct in the long run. the proportion of times an estimation procedure will be wrong in the long run. 4. A company has developed a new computer sound card whose average lifetime is unknown. In order to estimate this average, 200 sound cards are randomly selected from a large production line and tested; their average lifetime is found to be 5 years. The 200 sound cards represent a parameter. statistic. sample. population. 5. A company has developed a new computer sound card whose average lifetime is unknown. In order to estimate this average, 200 sound cards are randomly selected from a large production line and tested; their average lifetime is found to be 5 years. The five years represents a parameter. statistic. sample. population. 6. A summary measure that is computed from a population is called a sample. statistic. population. parameter. 7. Which of the following is a measure of the reliability of a statistical inference? A population parameter. A significance level. A descriptive statistic. A sample statistic. 8. The process of using sample statistics to draw conclusions about population parameters is called finding the significance level. calculating descriptive statistics. doing inferential statistics. calculating the confidence level. 9. A summary measure that is computed from a sample to describe a characteristic of the population is called A parameter A statistic A population Inferential statistics 10. A website poll is accurate 99 times out of 100 which means ____________. A 99% significance level A conclusion will be wrong 1% of the time A 1% CI level A conclusion will be correct 1% of the time 11. Which of the following is not a goal of the descriptive statistics? Estimating characteristics of the population 12. ____ are utilized to make inferences about certain population parameters. Statistics 13. Statistics is best described as a ______ to help analyze numbers. Tool 14. A company has developed a new smartphone whose average lifetime is unknown. In order to estimate this average, 200 smartphones are randomly selected from a large production line and tested; their average lifetime is found to be 5 years. The 200 smartphones represent a sample 15. Which of the following is a measure of the reliability of a statistical inference? A significance level 16. The process of using sample statistics to draw conclusions about population parameters is called doing inferential statistics 17. Which of the following statements involve descriptive statistics as opposed to inferential statistics? The Alcohol, Tobacco and Firearms Department reported that Houston had 1,791 registered gun dealers in 1997. 18. A population of all college applicants exists who have taken the SAT exam in the United States in the last year. A parameter of the population are SAT scores Section 2: Data Collection And Sampling. 19. Which method of data collection is involved when a researcher counts and records the number of students wearing backpacks on campus on a given day? An experiment. A survey. Direct observation. None of these choices. 20. Which of the following represents a population, as opposed to a sample? 1,000 respondents to a magazine survey which has 500,000 subscribers. The first 10 students in your class completing a final exam. Every fifth student to arrive at the book store on your campus. All registered voters in the State of Michigan. 21. A study in under way to determine the average height of all 32,000 adult pine trees in a certain national forest. The heights of 500 randomly selected adult pine trees are measured and analyzed. The sample in this study is the average height of the 500 randomly selected adult pine trees. the average height of all the adult pine trees in this forest. all adult pine trees in this forest. the 500 adult pine trees selected at random selected at random from this forest. 22. A marketing research firm selects a random sample of adults and asks them a list of questions regarding their beverage preferences. What type of data collection is involved here? An experiment. A survey. Direct observation. None of these choices 23. Which of the following statements is true regarding the design of a good survey? The questions should be kept as short as possible. A mixture of dichotomous, multiple-choice, and open-ended questions may be used. Leading questions must be avoided. All of these choices are true. 24. The difference between a sample mean and the population mean is called nonresponse error. selection bias. sampling error. nonsampling error. 25. The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder over the past 12 months are satisfied with their products. If there are four different brands of videocassette recorders made by the company, the best sampling strategy would be to use a simple random sample. stratified random sample. cluster sample. self-selected sample. 26. When every possible sample with the same number of observations is equally likely to be chosen, the result is called a simple random sample. stratified random sample. cluster sample. biased sample. 27. Which of the following types of samples is almost always biased? Simple random samples. Stratified random samples. Cluster samples. Self-selected samples. 28. Which of the following is an example of a nonsampling error? Some incorrect responses are recorded. Responses are not obtained from all members of the sample. Some members of the target population cannot possibly be selected for the sample. All of these choices are true. 29. Which of the following situations lends itself to cluster samples? When it is difficult to develop a complete list of the population members. When the population members are widely disbursed. When selecting and collecting data from a simple random sample is too costly. All of these choices are true. 30. Which of the following causes sampling error? Taking a random sample from a population instead of studying the entire population. Making a mistake in the process of collecting the data. Nonresponse bias. All of these choices are true. 31. Which of the following describes selection bias? A leading question is selected for inclusion in the survey. Some members of the target population are excluded from possible selection for the sample. A person selected for the sample has a biased opinion about the survey. All of these choices are true. 32. The simplicity of __________ questions are a key trait of good questionnaire design. Fill in the blank Matching Open response Dichotomous 33. The _____ sample involves dividing the population into groups, then randomly selecting some of the groups and taking either a sample or a census of their members. stratified 34. Which of the following statements is true regarding the design of a good survey? The questions should be kept as short as possible 35. Which method of data collection is involved when a researcher counts and records the number of students wearing backpacks on campus on a given day