MKTG 121 Test 2 True/False

69. In related samples, the measurement of the variable of interest has no influence on the measurement of the variable in another sample.

False

70. A p value of .285 would be acceptable for a research analyst to reject the null hypothesis.

False

73. Bivariate statistical techniques analyze the relationship between two or more variables.

False

74. Bivariate statistical techniques are often used to establish cause and effect relationships between two or more variables.

False

75. If the relationships we are investigating involve more than one independent variable, then we would want to use correlation analysis in lieu of regression analysis.

False

78. In multiple regression analysis the dependent variable is nominal or categorical.

False

67. Statistical power is the probability of making a type II error.

True

68. In testing a hypothesis from a random sample involving three or more means, the appropriate test would be a one-way ANOVA.

True

71. ANOVA is used to analyze the differences of more than 2 means.

True

72. Failing to reject the null hypothesis is the same as accepting the null hypothesis.

True

76. It is possible to run a regression analysis with more than 1 independent variable.

True

77. Dummy variables are created to include nominally scaled independent variables such as marital status or race in multiple regression analysis.

True

79. The independent variables in multiple regression should not be correlated with each other.

True

80. Collinearity is a situation in which independent variables are heavily correlated with each other.

True