Exam 18: Review of Statistical Inference

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In simple linear regression, most often we perform a two-tail test of the population slope b 1 to determine whether there is sufficient evidence to infer that a linear relationship exists. The null hypothesis is stated as:

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If the regression line is horizontal, then we conclude that y ____________________ (is\is not)related to x .

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If two events A and B are independent, the P ( A and B )= P ( A )+ P ( B ).

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Contingency tables are used in:

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Five types of apples are displayed side by side in several supermarkets in the city of Miami. It was noted that in one day, 180 customers purchased apples. Of these, 30 picked type A , 40 picked type B , 25 picked type C , 35 picked type D , and 50 picked type E . In Miami, can you conclude at the 5% significance level that there is a preferred type of apples?

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Given that Given that   and n = 6, the standard error of estimate is: and n = 6, the standard error of estimate is:

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The symbol for the population coefficient of correlation is:

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The Chairman of a committee has recently circulated pamphlets among the members, attempting to convince them that pension benefits should be the primary issue. A subsequent survey revealed the following breakdown of the members according to the plant at which they worked and the issue that they felt should be supported as the primary one. The Chairman of a committee has recently circulated pamphlets among the members, attempting to convince them that pension benefits should be the primary issue. A subsequent survey revealed the following breakdown of the members according to the plant at which they worked and the issue that they felt should be supported as the primary one.     Do the data indicate at the 5% significant level that there are differences between the two plants regarding which issue should be the primary one? Do the data indicate at the 5% significant level that there are differences between the two plants regarding which issue should be the primary one?

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In a multiple regression analysis, if the model provides a poor fit, this indicates that:

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A randomized block design experiment produced the following data. A randomized block design experiment produced the following data.     a. Set up the ANOVA Table. Use a = 0.05 to determine the critical values.   b. Test to determine whether the treatment means differ. (Use a = 0.05.)  c. Test to determine whether the block means differ. (Use a = 0.05.) a. Set up the ANOVA Table. Use a = 0.05 to determine the critical values. b. Test to determine whether the treatment means differ. (Use a = 0.05.) c. Test to determine whether the block means differ. (Use a = 0.05.)

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The t -test for the difference between the means of two independent populations assumes that the respective:

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When testing When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be vs. When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be

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Which of the following is not a characteristic of a multinomial experiment?

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Two measurements from the same individuals is an example of data collected from a(n)____________________ experiment.

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In estimating the population mean with the population standard deviation unknown, if the sample size is 16, there are 8 degrees of freedom.

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The residual is defined as the difference between:

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The confidence interval estimate of the expected value of y for a given value x , compared to the prediction interval of y for the same given value of x and confidence level, will be:

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One method of diagnosing heteroscedasticity is to plot the residuals against the predicted values of y , then look for a change in the spread of the plotted values.

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A regression analysis between weight ( y in pounds)and height ( x in inches)resulted in the following least squares line: A regression analysis between weight ( y in pounds)and height ( x in inches)resulted in the following least squares line:   . This implies that if the height is increased by 1 inch, the weight, on average, is expected to: . This implies that if the height is increased by 1 inch, the weight, on average, is expected to:

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Which of the following assumptions concerning the probability distribution of the random error term is stated incorrectly?

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