1 For small degrees of freedom, the chi-square distribution is: • skewed to the left • skewed to the right • rectangular • symmetric 2 Two paired or matched samples would imply that: • two data values are collected from the same source (elements) for two dependent samples • data are collected on one variable from the elements of two independent samples • data are collected on two variables from the elements of two independent samples • two data values are collected from the same source (elements) for two independent samples 3 The graph of a cumulative frequency distribution is a(n): • stem-and-leaf display • line graph • frequency histogram • ogive 4 In a one-way ANOVA, we analyze only one: • mean • variable • population • sample 5 Which of the following pairs of events are mutually exclusive? • Female and no • No and yes • Female and yes • Female and male 6 You toss a coin nine times and observe 3 heads and 6 tails. This event is a: • compound event • multinomial sample point • multiple outcome • simple event question 7 What is the critical value of z for the hypothesis test? • -1.96 • -2.05 • -2.33 • -2.17 8 We can use the analysis of variance procedure to test hypotheses about: • the mean of one population • two or more population proportions • two or more population means • the proportion of one population 9 For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the: • subjective frequencies • observed frequencies • expected frequencies • objective frequencies 10 The p-value is the: • smallest significance level at which the null hypothesis can be rejected • smallest significance level at which the null hypothesis can be rejected • largest significance level at which the null hypothesis can be rejected • largest significance level at which the alternative hypothesis can be rejected 11 A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is: • greater than to $110,000 • equal to $110,000 • not equal to $110,000 • less than to $110,000 12 Which of the following assumptions is not required to use ANOVA? • The populations from which the samples are drawn have the same variance. • The populations from which the samples are drawn are (approximately) normally distributed. • All samples are of the same size. • The samples drawn from different populations are random and independent. 13 To make tests of hypotheses about more than two population means, we use the: • normal distribution • chi-square distribution • analysis of variance distribution • t distribution 14. An error that occurs because of chance is called: • sampling error • nonsampling error • mean error • probability error 15 A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is: • skewed to the left • skewed to the right • approximately normal • not normal 16. The alternative hypothesis is a claim about a: • statistic, where the claim is assumed to be false until it is declared true • statistic, where the claim is assumed to be true if the null hypothesis is declared false • parameter, where the claim is assumed to be true if the null hypothesis is declared false • parameter, where the claim is assumed to be true until it is declared false 17 A qualitative variable is the only type of variable that: • can assume numerical values • can assume an uncountable set of values • cannot be graphed • cannot be measured numerically 18 What is the critical value of t for the hypothesis test? • 2.733 • 2.441 • 2.449 • 2.738 19 The mean of a discrete random variable is its: • box-and-whisker measure • expected value • second quartile • upper hinge 20 A linear regression: • gives a relationship between three variables that can be described by a line • gives a relationship between two variables that cannot be described by a line • gives a relationship between two variables that can be described by a line • contains only two variables 21 The regression model y = A + Bx + e is: • a deterministic model • an exact relationship • a probabilistic model • a nonlinear model 22 The model y = A + Bx is a: • nonlinear model • stochastic model • deterministic model • probabilistic model question 23 If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the: • sample mean • sample proportion • sample distribution • sampling distribution 24 A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is: • less than 30 minutes • equal to 30 minutes • less than or equal to 30 minutes • not equal to 30 minutes 25 The mean of a discrete random variable is the mean of its: • probability distribution • frequency distribution • second and third quartiles • percentage distribution 26 In a hypothesis test, a Type I error occurs when: • a false null hypothesis is not rejected • a false null hypothesis is rejected • a true null hypothesis is rejected • a true null hypothesis is not rejected 27 You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event? • At most one of them owns a telephone answering machine. • Exactly one of them owns a telephone answering machine. • Neither of the two owns a telephone answering machine. • At least one of them owns a telephone answering machine. 28 A quantitative variable is the only type of variable that can: • have no intermediate values • be graphed • assume numeric values for which arithmetic operations make sense • be used to prepare tables 29 In a hypothesis test, a Type II error occurs when: • a false null hypothesis is not rejected • a true null hypothesis is not rejected • a false null hypothesis is rejected • a true null hypothesis is rejected 30 For a one-tailed test, the p-value is: • the area under the curve between the mean and the observed value of the sample statistic • twice the area under the curve between the mean and the observed value of the sample statistic • twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis • the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis