RES 341 Final solution-----------5
RES 341 Final solution-----------5
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Date Created: 11/11/15
1 What is the difference between probability sampling and simple random sampling A Probability sampling is a type of simple random sample B In probability sampling each item has an identical chance of being chosen C There is no difference 2 A survey was mailed to a total of 400 students 100 were randomly selected from each of the freshman sophomore junior and senior classes last semester What sampling method was used B Simple random sample C Cluster sample D Systematic sample 3 A suf ciently large coverage error will result in which of the following B Inability to perform inferential statistics C Nonresponse bias D Statistics about the actual population rather than the target population 4 Which of the following statements is false A Statistical inference is the process of making a prediction based on only a small piece of information B A summary measure calculated from all items of interest is a parameter D A summary measure calculated from some of the items of interest is a statistic 5 Which of the following statements is NOT true A A statistical test may be signi cant yet have no practical importance B Scienti c progress consists of continual re nement of theories through hypothesis testing D Statistics is the science of collecting organizing analyzing interpreting and presenting data 6 Which of the following is an example of statistical inference B Counting the number of patients who le malpractice suits after being discharged from hospitals in New York State C Calculating the mean age of patients discharged from hospitals in New York State in 1997 D Calculating the mean number of fruit trees damaged by Mediterranean fruit ies in California last year 7 If terms such as positive negative more than and less than are used then these hypotheses are A nondirectional hypotheses C null hypotheses D alternative hypotheses 8 The manipulation of the independent variable is known as the B treatment C randomization D validity 9 Which of the following is NOT a potential source of survey error B Sampling error C Nonresponse bias D Selection bias 10 Which of the following is NOT a potential source of survey error A Interviewer error C Measurement error D Coverage error 11 Which of these is NOT an acceptable type of survey question A pictograms B Likert scale C ranking questions 12 Which of the following is NOT an ethical concern for the statistical researcher A Informed consent B Protection of con dentiality C Use of sound methodology 13 Which of the following is not an ethical concern for the statistical researcher B Privacy of privacy C Inhumane treatment of animals D Cite sources 14 Which of the following is NOT an ethical concern for the statistical researcher A Accurate reporting of procedures B Accepted procedures are followed C Maintain data accuracy 15 A study of the scores on an in plant course in management principles and the years of service of the employees enrolled in the course yielded the following statistics Test Scores mean100 variance 225 Years of Service mean5 variance 81 Of test scores and years of service which measure has the greater dispersion A The shortrun effects of those changes are always more bene cial to society than are the longrun effects B Test scores D It is impossible to tell 16 Textbook Price Number of Textbooks 25 to 35 2 35 to 45 16 45 to 55 5 55 to 65 7 65 to 75 20 Estimate the standard deviation of the price of a textbook A 19678 c 3385 D 72900 17 Textbook Price Number of Textbooks 25 to 35 2 35 to 45 16 45 to 55 5 55 to 65 7 65 to 75 20 Estimate the mean price of a textbook A 6000 B 55400 C 1108 18 Which measurement uses absolute values B ordinal scale C interval scale D harmonic scale 19 Identify the scale which has no meaningful zero A nominal B ordinal C ratio 20 Which of these measurement scales has a rank order associated with its use A Ratio C Likert D Nominal 21 Which of the following cannot generate a Poisson distribution A The number of people at a movie theatre on Friday evening B The number of customers arriving at an ATM in a minute C The number of goals in the World Cup soccer game 22 The local police department must write on average 5 tickets a day to keep department revenues at budgeted levels Suppose the number of tickets written per day follows a Poisson distribution with a mean of 55 tickets per day Interpret the value of the mean A The number of tickets written most often is 55 tickets per day B Half of the days have less than 55 tickets written and half of the days have more than 55 tickets written C The mean cannot be interpreted 23 Ten bolts were selected randomly from a production line and the diameter of each was measured Why do these diameters not have a binomial distribution A They have equal probability of success B The diameters of the bolts are not independent of one another C They do have a binomial distribution 24 The Big Red Arcade and Pizza Palace caters to young teens and sells tokens to play arcade games for 25 each and slices of pizza for 50 each The distribution of sales of pizza slices per customer and sales of arcade tokens per customer is below Slices of Pizza 0 1 2 3 4 5 Probability 005 010 020 030 015 020 Arcade Games 0 1 2 3 4 5 Probability 001 004 015 020 025 035 What is the probability that revenues from pizza slice sales will be greater than 100 per customer A 95 C43 D85 25 Which of these parameters associated with a binomial experiment will produce a probability distribution with the smallest standard deviation given n is the same for each situation A p03 B pO5 D pO4 26 The average qualifying speed for a championship NASCAR race is 14565 mph and the standard deviation is 945 mph Only drivers who obtain zscores greater than 12 will qualify for the race If the speeds are normally distributed what minimum speed must be clocked to compete for the trophy B 1469 mph C 1748 mph D 1552 mph 27 The use of the student s t distribution requires which of the following assumptions B The sample size is greater than 30 C The sample is drawn from a positively skewed distribution D The population variance is known 28 The expected value of the sampling distribution of the sample mean equals the population mean A when the population size N gt 30 B when the population is normally distributed D when the population is symmetric 29 Which of the following statements is consistent with the Central Limit Theorem A When we know 5 the variation in the sample means will be equal to that of the population B When u and s are known the population will be approximately normally distributed D If a population has u and s a sample from that population will be normally distributed if the sample size is large enough 30 A study of 200 insomniacs paid for by the Serta Mattress Company found that the average insomniac counted 350 sheep before falling asleep with a standard deviation of 120 An insomniac is a person who has dif culty falling asleep Some useful numbers might be NORMSINVO89 12265 NORMSINVO945 15982 TINV089199 01385 TINV011199 16053 TINV0055199 19302 Out of the 200 insomniacs 98 reported regularly watching The Late Show with David Letterman before they began to count sheepCalculate the margin of error for a 78 con dence interval of the true proportion of insomniacs who regularly watch David Letterman before counting sheep A 0136 c 0164 D 0056 31 A random sample of 25 observations is selected from a normally distributed population The sample variance is 10 In the 95 con dence interval for the population variance the upper limit will be A 17331 B 17110 D 6097 32 Summary statistics computed from two independent samples are as follows n1 50 x1 175 sl 185 n2 42 x2 158 and 2 324 Construct a 95 con dence interval estimate for the difference between the means of two normally distributed populations where the unknown population variances are assumed to not be equal The upper con dence limit is A 19123 c 24911 D 5788 33 When the only sources of variation in a production process are caused by chance the process is said to be A out of balance but under control B out of control but in balance D out of control 34 When the results of a process are either defective or acceptable the charts used for SPC are called B control charts for variables C control charts for in control process D control charts for out of control process 35 When no point lies outside the control limits of a chart we conclude that variation in the process is A due to special causes and there is not enough evidence to infer that the process is out of control B due to special causes and there is enough evidence to infer that the process is under control D due to common cause and there is not eno
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