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Could you answer the following multiple choice questions?Question: A cause-effect diagram is used in which of the following phases? AThe open phaseBThe narrowing phaseCThe close phaseDThe decision phaseQuestion: When the null hypothesis contains an equal sign, ___________. AThe hypothesis test has two tails (or rejection regions)BThe alternative hypothesis contains a "not equal to" signCIt can be rejected by the test statistic being significantly large or smallDAll of the above Question: The chi-square distribution is ____________. A Bell shapedB BimodalC LevelD Skewed Question: According to the Theory of Constraints, what is the goal of a company? A To increase salesB To decrease costsC To make moneyD To increase quality Question: Which of the following statements is MOST correct? A If "r" is greater than "1", there is a positive correlationB If "r" is less than one, there is a negative correlationC If "r" is less than one, but greater than 0, there is a positive correlationD If "r" is a negative number, there is a negative correlation Question: A salesman enters a food-processing facility and claims that his new juice box filling machine can save the company money, because he is 95% confident it has less variation from the nominal setting than the company's current machine. A random sample of 25 juice boxes from the salesman's machine yields a standard deviation of 0.09 ounce. A random sample of 16 juice boxes from the company's current machine yields a standard deviation of 0.13 ounce. What can we conclude? A The salesman is correct. We can say with 95% confidence that his machine has less variation from the nominal setting than the company's current machineB The salesman may be correct. It is not possible to prove he is correct, but indications are that his machine has less variation from the nominal setting than the company's current machineC We cannot show that the salesman is incorrect. We cannot prove that he is wrong, but indications are that the company's machine has the same variation as the salesman's machineD The salesman is incorrect. We cannot say with 95% confidence that the salesman's machine has less variation from the nominal setting than the company's current machine
Question: A company wanted to know if a special gas additive truly (and significantly) affected the gas mileage in their company vehicles. Use the data below to determine whether or not the additive significantly affected gas mileage. A Yes, because the T-statistic of 3.125 exceeded the T-critical value of 2.365B Yes, because the T-statistic of 4.51 exceeded the T-critical value of 2.365C No, because the T-statistic of 0.563 failed to exceed the T-critical value of 2.365D Yes, because the T-critical value is 1.895
SAT scores are normally distributed with a mean of 500 and a standard deviation of 100. What percent of test takers score less than 300?
When is regression used? What are the assumptions of Linear Regression? What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?
The Food King Chain employs more than 3,000 people. The worker's ages are approximately normally distributed, with a mean of 31 years and a standard deviation of 4.3 years.
An electronic test equipment manufacturing company markets a certain piece of specialty equipment. The company has several competitors who currently market similar pieces of equipment.
Let X equal the number of "ones" if a fair dice is tossed two independent times by someone out in the hall. If X=x that person gives the player a bowl consisting of 10-3x red chips and 3x white chips.
Multiple comparison procedures are going to be done using the Bonferroni method with = 0.05. The value of t** is 2.4667. Which of the following is the appropriate conclusion from carrying out these multiple comparisons?
Compute the coefficient of correlation and the coefficient of determination and determine the regression equation.
The new independent variable improves the predictive power of the regression model.
What information is provided by the numerical value of the Pearson correlation? For the following scores, compute the Pearson correlation:
Which study has the higher probability of a Type II error, the 60-subject study or the 100 -subject study? Which study has higher power?
The mean change score for the sample studied is an increase of 5.2. What is considered a medium effect size for a t test for dependent means?
The life expectancy of a lung cancer patient treated with a new drug is normally distributed with a mean of 4 years and a standard deviation of 10 months.
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