Statistics Test

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Some statistics questions with choices and correct answer chosen.

Tracy J / Mecca

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Some STATISTICS Question 1 Empirical research is best as... a theory that answers a research question. a suggestion made by popular statisticians. research based on evidence that is verifiable through the human experience. research that is based on current mathematical theo Question 2 The main difference between the research hypothesis (HI) and the null hypothesis (Ho) is that... the research hypothesis predicts that there will be a statistically-significant difference between variables, and the null hypothesis predicts that there will be no difference the research hypothesis predicts that there will be no statistically-significant difference between the means, and the null hypothesis predicts that there will be a difference the research hypothesis is based on data, whereas the null hypothesis is not. the research h esis is not based on data whereas the null h othesis is. Question 3 It is best to use a two tailed test when... the hypothesis is directional in that the values of a group are either larger or smaller than the specified population value. the sample outcome is thought to be at the right tail of the sampling distribution. the sample outcome is thought to be at the left tail of the sampling distribution. the hypothesis is nondirectional in that values from either tail of the sampling distribution will lead to the re•ection of the null hypothesis Question 4 A college student takes a standardized test and scores a 163. If the mean is 155 and the standard deviation is 7, what is the student's percentile rank? (Assume a normal distribution.) 85.4 87.3 91.2 83.7 Question 5
Concerning confidence intervals for means, a total of % of all random sample means will fall within +/- 1.96 standard errors of the true population mean assuming a normal distribution. 68 95 99 100 Question 6 The main difference between a Type I and a Type Il error in hypothesis testing is: A type I error is associated with failing to reject the research hypothesis when it is false, while a type Il error is rejecting the research hypothesis when it is true. A type I error is associated with failing to reject a null hypothesis when it is false, while a type Il error is associated with rejecting a null hypothesis when it is true. A type I error is associated with rejecting a null hypothesis when it is true, while a type Il error is associated with failing to reject a null hypothesis when it is false. A type I error is associated with rejecting the research hypothesis when it is true, while a Il error is failing to reject the research hypothesis when it is false. Question 7 Multiple regression is... an extension of bivariate regression where researchers examine the effects of two or more independent variables on the dependent variable. an extension of bivariate regression where researchers examine the effects of two or more dependent variables on the independent variable. an extension of linear regression involving derivatives. not based on the mean of the o ulation bein tested. Question 8 What is the main difference between systematic random sampling and stratified random sampling? Systematic random sampling is a method subjects are chosen at random by the hands of the researchers, whereas stratified random sampling is a method where subjects are chosen at random by a machine. Systematic random sampling is a method where subjects are chosen at random by a machine, whereas stratified random sampling is a method where subjects are chosen at random by the hands of the researchers. Systematic random sampling is a method where the population is first divided into subgroups, and then drawing a simple random sample from each subgroup, whereas stratified random sampling is a method where every Kth person of the population is chosen to be part of the sample.
Systematic random sampling is a method where every Kth person of the population is chosen to be part of the sample, whereas stratified random sampling is a method where the population is first divided into su rou and then drawin a simple random sam le from each sub rou . Question 9 When would one appropriately use a t-statistic? When calculating a z-score becomes burdensome to the researchers. When the standard deviation of the population is unknown, and is estimated using the sample standard deviation. When the degrees of freedom have not yet been determined. When the standard error has not yet been calculated. Question 10 A researcher uses a regression equation to predict electric bill costs (in dollars) based on the age of the home (in years). The correlation between predicted electric bills and age of the home is 0.60. How should this finding be interpreted? For each year older the house is, the electric bill goes up by 60 cents. For each year older the house is, the electric bill goes up by 36 cents. 60% of the variability in electric bill cost can be explained by age of the house using the electricity. @ 36% of the variability in electric bill cost can be explained by age of the house using the electricity. Question 11 At OHB bank, the average employee salary is $40,000 per year with a variance of The CEO decides to award bonuses in the following way: -A New Year's bonus of $600 -An incentive bonus that is 15% of the employee's salary What is the standard deviation of employee bonuses? $300 $200 $3000 $400 Question 12 Thirty-three college freshmen were randomly selected for an on-campus survey at their university. The participants' mean GPA was 2.5, and the standard deviation was 0.5. What is the margin of error, assuming a 95% confidence level? (Assume a normal distribution.) 2.037 0.171 0.0313
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Statistics Test

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