If the null hypothesis were false and the sample information resulted in a \"rej
ID: 3270246 • Letter: I
Question
If the null hypothesis were false and the sample information resulted in a "reject" decision then a has been made. (a) type I error (b) type II error (c) can be either a or b, depending on the situation (d) correct decision Which of the following could be called a null hypothesis? (a) X = 10 (b) mu notequalto 10 (c) p 10 (e) none of the above The significance level(alpha) used in hypothesis testing is the probability of (a) not rejecting a true null hypothesis (b) not rejecting a false null hypothesis (c) rejecting a true null hypothesis (d) rejecting a false null hypothesis (e) not rejecting a false alternative hypothesis (f) rejecting a true alternative hypothesis (g) not rejecting a true alternative hypothesis (h) rejecting a false alternative hypothesis (i) same as the p-value A chi-square goodness of fit test is considered valid if the expected (a) greater than zero (b) less than 5 (c) at least 10 (d) at least 30 (e) at least 5 The chi-square goodness of fit test is a (a) one-tailed lower test (b) One-tailed upper test (c) two-tailed test (d) could be either one or two tailed depending on the situation In regression analysis, the variable which is being predicted is the (a) independent variable (b) dependent variable (c) intervening variable (d) dummy variable (e) none of the above In regression analysis, if the dependent variable is measured in dollars variable: (a) must also be in dollars. (b) must be in some units of currency. (c) can be any units. (d) can not be in dollars. In simple regression analysis, the number of degrees of freedom for (a) There are two variable, x and y. (b) There are two parameters estimated, b_0 and b_1. (c) The method of least square is used. (d) Errors are made in two ways: above and below the line. The term describe the effects on y of all factors other independent variable in a regression model. (a) dependent variable (b) t-test (c) error (d) slopeExplanation / Answer
(1)
Correct decision
(2)
None of the above, because null hypothesis must contain an equal(=) to sign.
(3)
Rejecting a true null hypothesis
(6)
Dependent variable, also denoted as 'Y' in the regression equation
(7)
Casual effect of one variable on other
(8)
Can be any units
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