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QUESTION 3 A coffee shop fills its 10 fluid ounce cups, but tries to come up a bit short so that customers don't spill hot

QUESTION 3

A coffee shop fills its 10 fluid ounce cups, but tries to come up a bit short so that customers don't spill hot coffee on themselves. The cups are sold as having 9.5 fluid ounces. What statistical strategy would allow them to see if this method is being implemented correctly?

Group of answer choices

A hypothesis test with an alternative hypothesis that is less than 10 fluid ounces

A hypothesis test with an alternative hypothesis that is more than 9.5 fluid ounces

A hypothesis test with an alternative hypothesis that is less than 9.5 fluid ounces

A hypothesis test with an alternative hypothesis that is more than 10 fluid ounces

A confidence interval with 10 fluid ounces as the mean

Question 4

A systems analyst considers 18 different reasons why a computer might run slow. To identify the most common of those reasons, which graph might the analyst consider?

Group of answer choices

A confidence interval around the speed of the computer

A scatter plot based on reasons on the x axis and the time to run diagnostics on the y axis

A Pareto chart based on reasons previous computers stopped working

A pie chart based on reasons previous computers stopped working

A Pareto chart based on reasons previous computers ran slowly

Question 5

A company wants to estimate how long it will take to produce 100 units of a product based on production rates in the past. Which statistical method would be most effective?

Group of answer choices

Use a confidence interval with the past average production time as the mean

Hypothesis testing with a null hypothesis that the production time is less than or equal to the mean

A regression with production as the independent variable

Use a confidence interval with the average of all production lines for all products as the mean

Hypothesis testing with a null hypothesis that the production time is greater than or equal to the mean

Question 6

To compare the dispersion of days people vacation at the beach, mountains, and amusement parks, a researcher could compare:

Group of answer choices

A box and whisker plot for each location based on the number days

A Pareto chart of the number of vacationers at each location

A pie chart with the number of vacation days for each location

A scatter plot of vacation days on the x axis and location on the y axis

A histogram of the number of the number of vacationers at each location

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