What parameter do we use when working with an ANOVA?

Group of answer choices

²

P

Perform an ANOVA with Company as the independent variable, and Box_Weight as the dependent variable. Which would be an appropriate conclusion and interpretation?

Group of answer choices

With an alpha of 0.05, and a p-value of 0.873,we fail to reject the null and state we have insufficient evidence that there was a treatment effect of company on box weight.

With an alpha of0.05,and a p-value of0.873,we reject the null and state we have sufficientevidence that there was a treatment effect of company on box weight.

We found a p-value0.873,signifying that the companies differ in box weights that they deliver.

With an alpha of0.05,and a p-value of0.873,we fail toreject the null and state we have insufficientevidence that the box weights were the same for all three companies.

Use the TukeyHSD() function in R to determine differences among treatments after running an ANOVA using Company as the independent variable, and Driver_Salary as the dependent variable. Which would be the mostappropriate interpretation of the difference between UPS and FedEx?

Group of answer choices

FedEx has a significantly higher salary than UPS, by an estimated $9865.50 (p-value ~0)

FedEx has asignificantlylower salary than UPS, by an estimated $9865.50 (p-value ~0)

There is not a significant difference betweenUPS and FedEx when it comes to driver salary (p-value ~0)

FedEx has asignificantlyhigher salary than UPS, by an estimated $9865.50.

Use the TukeyHSD() function in R to determine differences among treatments after running an ANOVA using Company as the independent variable, and Box_Weight as the dependent variable. Based on these differences, which Company carries the heaviest boxes?

Group of answer choices

It's not possible to determine which company carries the heaviest boxes; the initial p-value from the ANOVA was 0.873.

DSL>FedEx,DSL>UPS,UPS >FedEx

DSL has the heaviest boxes.

DSL has heavier boxes than FedEx, by an estimated 0.39 lb. DSL also has heavier boxes than UPS, by an estimated 0.01 lb. Thus, DSL has the heaviest boxes

Use the TukeyHSD() function in R to determine differences among treatments after running an ANOVA using Company as the independent variable, and Driver_Height as the dependent variable. Which would be the mostappropriate interpretation of the difference between UPS and FedEx?

Group of answer choices

FedEx drivers are an estimated4.05 inches taller than UPS drivers (p-value 0.0000397).

FedEx drivers are an estimated 4.05 inches shorter than UPS drivers (p-value 0.0000397).

FedEx drivers are an estimated4.05inches taller than UPS drivers.

We are 95% confident that FedEx drivers' heights are between6inches taller than UPS drivers and 2 inches taller than UPS drivers.

Use the TukeyHSD() function in R to determine differences among treatments after running an ANOVA using Company as the independent variable, and Box_Weight as the dependent variable. Which would be an appropriate interpretation of the difference between DSL and FedEx?

Group of answer choices

There is not a significant difference between FedEx's and DSL'sbox weights (p-value 0.891)

DSL carries slightly heavier boxes than FedEx, by an estimated 0.39lbs.(p-value 0.891)

DSL carries slightly lighter boxes than FedEx,by an estimated0.39lbs.(p-value0.891)

FedEx and DSL carry significantlydifferent sizes of boxes, on average.

Perform an ANOVA using Company as the independent variable, and Box_Weight as the dependent variable. What conclusion would you draw using an alpha = 0.05?

Group of answer choices

Reject the null

Fail to reject the null

Accept the null

None of the above

Perform an ANOVA using Company as the independent variable, and Box_Weight as the dependent variable. What p-value did you find?

Perform an ANOVA using Company as the independent variable, and Driver_Height as the dependent variable use alpha = 0.05. What is your p-value?

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Company Box_Weight Driver_Height Driver_Salary

1UPS14.36345144

2UPS16.86544986

3UPS14.06345798

4UPS17.85944581

5UPS13.56644912

6UPS13.36444809

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Dataset in R: Delivery_data