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1) In a multiple regression equation there

a. Are two or more independent variables.

b. Is only one dependent variable.

c. Is one intercept value.

d. All of the above.

2) A dummy variable or indicator variable

a. May assume only a value of 0 or 1.

b. Is another term for the dependent variable.

c. Is found by (Y - Ŷ).

d. Is equal to Ŷ

3) 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 the above.

4) In the ANOVA table the value of k is

a. The number of independent variables.

b. The total number of observations

c. The number of degrees of freedom.

d. The sum of squares total.

5) A correlation matrix

a. Shows all simple coefficients of correlation.

b. Shows all possible net regression coefficients.

c. Shows the correlations that are positive.

d. Reports the multiple regression equation.

6) 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 the above.

7) Multicollinearity occurs when

a. The residuals are correlated.

b. Time is involved in the analysis

c. The independent variables are correlated.

d. The residuals are not constant for all Y' values.

8) In a global test of hypothesis we determine

a. Which independent variables do not equal 0.

b. Whether any of the set of independent variables differ from 0.

c. Whether any of the correlation coefficients differ from 0.

d. None of the above.

9) In testing the significance of individual regression coefficients

a. The test statistic is the t distribution.

b. We test the independent variables individually.

c. We usually delete the variables where the null hypothesis is not rejected.

d. All of the above.

10) The residual

a. Is the difference between the actual and the predicted value of the dependent variable.

b. Cannot assume a negative value.

c. Is also called the correlation matrix.

d. Has the same degrees of freedom as the MSE term.

11) To conduct a nonparametric test the

a. Population must follow the normal distribution.

b. The standard deviation must be known.

c. It is not necessary to make any assumption about the shape of the population.

d. The data must be at least interval scale.

12) Which of the following is not a characteristic of the X2

a. Its shape is based on the sample size.

b. It is not negative.

c. It is positively skewed.

d. It approaches a normal distribution as the degrees of freedom increase.

13) 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 the above.

14) In a goodness-of-fit test

a. All the cell frequencies must be the same.

b. There must be at least 30 observations.

c. Forty percent of the cells must contain at least 10 observations.

d. None of the above.

15) 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 the above.

16) 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 the above.

17) For a X2 goodness-of-fit test

a. There is only one degree of freedom.

b. The rejection region is in the upper right tail.

c. The scale of measurement is interval.

d. We must assume a normal population.

18) To find the expected frequency in a contingency table

a. Take the square root of the degrees of freedom.

b. Multiple the row total by the column total and divide the result by the grand total.

c. Use the total number of observations minus one.

d. None of these.

19) Suppose we select a sample of 100 observations and organize them into 6 categories. We wish to investigate whether the number of observations could be the same in each of the categories in the population. How many degrees of freedom are there?

a. 5

b. 97

c. 3

d. None of these.

20) Under what conditions could the X2 distribution assume negative values?

a. When the sample size is small.

b. When the cell frequencies are all equal.

c. When the degrees of freedom is 1.

d. Never

21) The philosophy of statistical quality control is to

a. Inspect the quality into the product.

b. Make it correct the first time.

c. Develop an adversarial relationship with the production department.

d. Shift costs from the manufacturing to the inspection department.

22) Dr. W. Edwards Deming

a. Was the founder of control charts.

b. Was an early craftsman in American industry.

c. Developed the ideas of acceptance sampling.

d. Helped Japan develop an overall plan to retool their production after World War II.

23) Chance variation is

a. Random in nature.

b. Can be completely eliminated from the process.

c. Is usually the result of a faulty production setup.

d. Is the basis of the Deming philosophy.

24) A Pareto Chart

a. Was developed by Dr. Walter A. Shewhart of the Bell Laboratories in the 1920s.

b. Is designed to show that 80 percent of the activity is caused by 20 percent of the factors.

c. Is one of Deming?s 14 points.

d. Highlights chance variation.

25) Which of the following is an example of a variable control chart?

a. An X- bar chart for means.

b. A percent defective chart.

c. A c- bar chart.

d. All of the above.

26) The Kimble Glass Company developed a control chart for the outside diameter of a syringe. Beginning at 7 AM this morning hourly checks showed the mean outside to diameter to be within the chart limits. Suddenly, the 2 PM check was above the UCL.

a. This is likely a random occurrence and production should be maintained.

b. This indicates that production is out of control. An adjustment should be made immediately.

c. This means that an error has been made in the calculation of the control limits.

d. This is an example of one of Deming?s 14 points.

27) The A2 factor is

a. Based on a constant relationship between the range and the standard deviation.

b. Used for variable charts.

c. Based on the size of the sample.

d. All of the above.

28) A c-bar chart shows the

a. Change in the mean.

b. Change in the range.

c. Number of defects per unit.

d. Percent defective.

29) The percent defective chart is

a. An example of a variable control chart.

b. A chart that shows the number of defects per unit.

c. A chart that shows the variation in weight of the unit produced.

d. An example of an attribute control chart.

30) In acceptance sampling the c value indicates the

a. Number of units sampled.

b. Probability of acceptance.

c. Number of defects per unit.

d. Allowable number of defects.

Solution Description

QNT 561