Qnt_561

1) Which level of measurement is required for the median' | A. | | Ordinal | | B. | | Ratio | | C. | | Nominal | | D. | | Interval | 2) The weighted mean is a special case of the: | A. | | Median | | B. | | Geometric mean | | C. | | Mean | | D. | | Mode | 3) A difference between calculating the sample mean and the population mean is: | A. | | We divide the sum of the observations by n - 1 instead of n | | B. | | There are no differences. | | C. | | Only in the symbols, we use instead of µ and n instead of N. | | D. | | The observations are ranked and select the middle value for the population mean. | 4) The mean and the variance are equal in | A. | | The binomial distribution. | | B. | | The hypergeometric distribution. | | C. | | All probability distributions. | | D. | | The Poisson distribution. | 5) The difference between a random variable and a probability distribution is: | A. | | A random variable does not include the probability of an event. | | B. | | A random variable can only assume whole numbers. | | C. | | A probability distribution can only assume whole numbers. | | D. | | None of the above. | 6) In which of the following distributions is the probability of a success usually small' | A. | | Poisson | | B. | | All distribution | | C. | | Binomial | | D. | | Hypergeometric | 7) A sample | | A. | | Is part of the population. | | B. | | Has more than 30 observations. | | C. | | Is usually identified as N. | | D. | | All of these | | | 8) Suppose a population consisted of 20 items. How many different samples of n = 3 are possible' | | A. | | 1140 | | B. | | 120 | | C. | | 6840 | | D. | | 20 | | | 9) The difference between the sample mean and the population mean is called the | | A. | | Population standard deviation. | | B. | | Sampling error. | | C. | | Population mean. | | D. | | Standard error of the mean. | | | 10) A point estimate is | | A. | | Always an estimate of the population mean. | | B. | | Always equal to the population value. | | C. | | An estimate of the population parameter. | | D. | | None of these | | | 11) Which of the following statements is not a characteristic of the t distribution' | | A. | | It has a mean of 0. | | B. | | Like z there is only one t distribution. | | C. | | It is a continuous distribution. | | D. | | It is symmetrical. | | | 12) We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use the 92% level of confidence. The appropriate value of z is: | | A. | | 1.65 | | B. | | 1.75 | | C. | | 1.96 | | D. | | 2.58 | | | | | 13) The Special Rule of Addition is used to combine | A. | | Mutually exclusive events | | B. | | Events based on subjective probabilities | | C. | | Independent events. | | D. | | Events that total more than one. | 14) Which of the following is a correct statement about a probability' | A. | | It may assume negative values. | | B. | | It cannot be reported to more than 1 decimal place. | | C. | | It may range from 0 to 1. | | D. | | It may be greater than 1. | 15) An experiment is a: | A. | | Collection of outcomes. | | B. | | The act of taking a measurement or the observation of some activity. | | C. | | Collection of events | | D. | | Always greater than 1. | 16) Which of the following statements is true regarding a population' | | A. | | It must be a large number of values. | | B. | | It must refer to people. | | C. | | It is a collection of individuals, objects, or measurements. | | D. | | None of these | | | 17) Which of the following statements is true regarding a sample' | | A. | | It is a part of population. | | B. | | It must contain at least five observations. | | C. | | It refers to descriptive statistics | | D. | | All of these are correct | | | 18) A nominal scale variable is | | A. | | Has a meaningful zero point. | | B. | | May assume negative values. | | C. | | Cannot have more than two categories. | | D. | | Usually the result of counting something. | | | | 19) In a two-sample test of means for independent samples, we use the z distribution when | | A. | | Both populations have at least 4,000 observations. | | B. | | Both population standard deviations are known. | | C. | | nB and n(1-B) are both greater than 5. | | D. | | The population standard deviations are equal. | | | 20) Which of the following is a requirement for a two-sample test of proportions. | | A. | | Both populations are positively skewed. | | B. | | Both samples are at least 30. | | C. | | nB and n(1-B) are both greater than 5. | | D. | | The population standard deviations are equal. | | | 21) A Type I error is | | A. | | A value determined from the test statistic | | B. | | Rejecting the null hypothesis when it is true | | C. | | Accepting the null hypothesis when it is false. | | D. | | The correct decision | | | 22) In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there' | | A. | | 3 | | B. | | 8 | | C. | | 399 | | D. | | None of these | | | 23) In a contingency table | | A. | | The number of rows must be the same as the number of columns. | | B. | | A variable is classified according to two criteria. | | C. | | There must be at least 10 observations in each cell. | | D. | | All of these | | | 24) Which of the following is not a characteristic of the X2 | | A. | | It is not negative. | | B. | | It is positively skewed. | | C. | | It approaches a normal distribution as the degrees of freedom increase. | | D. | | Its shape is based on the sample size. | | | | | 25) In a multiple regression equation | A. | | There is only one dependent variable. | | B. | | The R2 term must be at least .50. | | C. | | All the regression coefficient must be between -1.00 and 1.00. | | D. | | None of these | 26) In the ANOVA table the value of k is | A. | | The total number of observations | | B. | | The number of degrees of freedom. | | C. | | The sum of squares total. | | D. | | The number of independent variables. | 27) The multiple standard error of estimate is | A. | | Is based on the (Y - Y)2. | | B. | | Is negative when one of the net regression coefficients is 0. | | C. | | Is found by taking the square root of SSR/SS total. | | D. | | All of these | 1) In a set of observations, which measure of central tendency reports the value that occurs most often' | | A. | | Mode | | B. | | Median | | C. | | Mean | | D. | | Geometric mean | | | 2) The weighted mean is a special case of the: | | A. | | Mode | | B. | | Median | | C. | | Mean | | D. | | Geometric mean | | | 3) Which level of measurement is required for the mode' | | A. | | Interval | | B. | | Ordinal | | C. | | Nominal | | D. | | Ratio | | | 4) The mean and the variance are equal in | | A. | | The Poisson distribution. | | B. | | The binomial distribution. | | C. | | All probability distributions. | | D. | | The hypergeometric distribution. | | | 5) Which of the following is not a requirement of a binomial distribution' | | A. | | A fixed number of trails. | | B. | | Only two possible outcomes. | | C. | | A constant probability of success. | | D. | | Equally likely outcomes. | | | 6) The difference between a random variable and a probability distribution is: | | A. | | A random variable does not include the probability of an event. | | B. | | A random variable can only assume whole numbers. | | C. | | A probability distribution can only assume whole numbers. | | D. | | None of the above. | | | | | 7) A sample | | A. | | Is part of the population. | | B. | | Has more than 30 observations. | | C. | | Is usually identified as N. | | D. | | All of these | | | 8) In a simple random sample | | A. | | Every Kth item is selected to be in the sample. | | B. | | Every item has a chance to be in the sample. | | C. | | Every item has the same chance to be in the sample. | | D. | | All of these | | | 9) The difference between the sample mean and the population mean is called the | | A. | | Standard error of the mean. | | B. | | Population standard deviation. | | C. | | Population mean. | | D. | | Sampling error. | | | 10) A point estimate is | | A. | | Always an estimate of the population mean. | | B. | | Always equal to the population value. | | C. | | An estimate of the population parameter. | | D. | | None of these | | | 11) We wish to develop a confidence interval for the population mean. The population follows the normal distribution, the standard deviation of the population is 3, and we have a sample of 10 observations. We decide to use the 90% level of confidence. The appropriate value of to represent the level of confidence is | | A. | | t=1.833 | | B. | | z=1.96 | | C. | | z =1.65 | | D. | | t=1.812 | | | 12) Which of the following statements is not a characteristic of the t distribution' | | A. | | It is symmetrical. | | B. | | It has a mean of 0. | | C. | | It is a continuous distribution. | | D. | | Like z there is only one t distribution. | | | | | 13) Which of the following is not a type of probability' | | A. | | Relative frequency | | B. | | Independent | | C. | | Subjective | | D. | | Classical | | | 14) The Special Rule of Addition is used to combine | | A. | | Events that total more than one. | | B. | | Mutually exclusive events | | C. | | Independent events. | | D. | | Events based on subjective probabilities | | | 15) Events are independent if | | A. | | We can count the possible outcomes. | | B. | | The probability of their occurrence is greater than 1. | | C. | | By virtue of one event happening another cannot. | | D. | | The probability of one event happening does not affect the probability of another event happening. | | | | | 16) The ratio scale of measurement | | A. | | Has a meaningful zero point. | | B. | | Cannot assume negative values. | | C. | | Usually involves ranking. | | D. | | Is usually based on counting. | | | 17) Which of the following statements is true regarding a sample' | | A. | | It is a part of population. | | B. | | It must contain at least five observations. | | C. | | It refers to descriptive statistics | | D. | | All of these are correct | | | 18) A nominal scale variable is | | A. | | May assume negative values. | | B. | | Has a meaningful zero point. | | C. | | Usually the result of counting something. | | D. | | Cannot have more than two categories. | | | | | 19) The alternate hypothesis | | A. | | Tells the value of the sample mean. | | B. | | Will always contain the equal sign. | | C. | | Is accepted if the null hypothesis is rejected. | | D. | | None of these | | | 20) In a two-sample test of means for independent samples, we use the z distribution when | | A. | | Both population standard deviations are known. | | B. | | Both populations have at least 4,000 observations. | | C. | | The population standard deviations are equal. | | D. | | nB and n(1-B) are both greater than 5. | | | 21) Which of the following is a requirement for a two-sample test of proportions. | | A. | | Both samples are at least 30. | | B. | | Both populations are positively skewed. | | C. | | The population standard deviations are equal. | | D. | | nB and n(1-B) are both greater than 5. | | | 22) Which of the following is not a characteristic of the X2 | | A. | | It is positively skewed. | | B. | | It is not negative. | | C. | | Its shape is based on the sample size. | | D. | | It approaches a normal distribution as the degrees of freedom increase. | | | 23) In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is | | A. | | 9.488 | | B. | | 11.070 | | C. | | 43.773 | | D. | | None of these | | | 24) In a contingency table | | A. | | The number of rows must be the same as the number of columns. | | B. | | A variable is classified according to two criteria. | | C. | | There must be at least 10 observations in each cell. | | D. | | All of these | | | | | 25) The multiple standard error of estimate is | | A. | | Is based on the (Y - Y)2. | | B. | | Is negative when one of the net regression coefficients is 0. | | C. | | Is found by taking the square root of SSR/SS total. | | D. | | All of these | | | 26) A correlation matrix | | A. | | Shows the correlations that are positive. | | B. | | Shows all possible net regression coefficients. | | C. | | Shows all simple coefficients of correlation. | | D. | | Reports the multiple regression equation. | | | 27) In the ANOVA table the value of k is | | A. | | The number of degrees of freedom. | | B. | | The total number of observations | | C. | | The number of independent variables. | | D. | | The sum of squares total. | | | | |