Question 1

4pts

A company wants to know if it's soda pop filling machine is working properly.If it is working properly it should fill soda pop cans to 12 fluid ounces.What statistical strategy would allow them to see if the machine is filling cans with the correct amount of soda?

Group of answer choices

A regression with the number of fluid ounces as the independent variable

A confidence interval for the fluid ounces in a can with 12 fluid ounces as the mean

A hypothesis test with a null hypothesis that the amount of fluid the machine is filling the cans with is equal to 20 fluid ounces

A hypothesis test with a null hypothesis that the number of fluid ounces that the machine is filling the cans with is at most 12 fluid ounces

A regression with the number of fluid ounces as the dependent variable

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Question 2

4pts

With a hurricane coming, a forecaster hopes to create a dollar estimate of the damage that it could inflict on a local island based on the hurricane's wind speed.Which process is the forecaster likely to use?

Group of answer choices

A regression analysis with a dollar estimate of damage from previous hurricanes as the dependent variable

A hypothesis test with wind speeds being less than or equal to the previous hurricane

A confidence interval of the average wind speed of hurricanes

A hypothesis test with damage being less than or equal to hurricanes at another island

A regression analysis with wind information from previous hurricanes as the dependent variable

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Question 3

4pts

When planning a big outdoor event, one might consider the most likely temperatures during the day of the event to determine activities.The planner might look at:

Group of answer choices

The temperature of the current day

The average temperature of their previous 10 planned events

The average temperature of the previous year

The average temperature of the month of the event

The temperature of the previous year on that day

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Question 4

4pts

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 Pareto chart based on reasons previous computers ran slowly

A Pareto chart based on reasons previous computers stopped working

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

A pie chart based on reasons previous computers stopped working

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Question 5

4pts

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 average of all production lines for all products as the mean

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

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

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

A regression with production as the independent variable

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Question 6

4pts

A company wants to consider the age groups of customers that shop before noon.Which of the following graphs would be most helpful to make that determination?

Group of answer choices

A scatter plot of shoppers on the x axis and times on the y axis

A Pareto chart with times of shoppers throughout day

A histogram of the ages of all shoppers

A pie chart of the ages of shoppers before noon

A histogram of the ages of shoppers before noon

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Question 7

4pts

If a franchise company wanted to determine the next best location for a store, they might run a regression with which independent variables from current locations?

Group of answer choices

Marketing and sales promotions

Number of rainy days and number of snow days

Square footage and number of employees

Sales and expenses

Nearby population and local average income

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Question 8

4pts

The CDC wants to determine why COVID-19 infection rates are lower in some states than in others. What statistical method would be most appropriate?

Group of answer choices

A hypothesis test with a null hypothesis that the infection rate is less than or equal to the expected number

A confidence Interval with the expected number of infections per state as the mean

A regression with the infection rate as the independent variable

A hypothesis test with a null hypothesis that the infection rate is greater than or equal to the expected number

A regression with the infection rate as the dependent variable

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Question 9

4pts

The human resources department in a company claims that workers take a shorter lunch break than is allowed.If so, policies might be changed to encourage employees to take that full time.What statistical strategy would best determine if these shorter lunch hours were a problem?

Group of answer choices

Hypothesis testing with a null hypothesis that the time at lunch is less than allowed

Regression with time at lunch as the dependent variable

Hypothesis testing with a null hypothesis that the time taken for lunch is greater than or equal to the time allowed

Use a confidence interval with the average time taken for lunch as the mean

Regression with time at lunch as an independent variable

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Question 10

4pts

A bookstore wants to determine which genre of book generates the greatest percentage of sales. Which graph would most directly highlight the percentage of sales for each genre?

Group of answer choices

A dot plot with the book genres on the x-axis

A pie chart with a slice for each genre of book

A time plot of sales over the last several years

A stem-and-leaf plot with the tenths digit of the cents in the right column and the rest of the amount of sales in the left column

A scatter plot with genre as the x-variable and sales as the y-variable

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Question 11

54pts

Match the best answer on the right to the item on the left.

Group of answer choices

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Continuous variable

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Normal distribution

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

q = 1 - p

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

N

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

x

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Left skewed distribution

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Data is collected by watching the behavior of sample

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Data is collected by imposing a treatment on a sample and examining the results

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Data is collected as a result of computer modeling

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Data is collected by asking a series of questions

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Data is collected that does not fairly represent the population

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

A measure of the spread or variability of the data set

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

n

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

r

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

Most frequently occurring value in the date set

[ Choose ]

Population standard deviation

Sample variance

Probability of failure

Number in population

Nominal

Alpha error

Most values on right and tail on left

Bias

Standard Deviation

Observation

Number in the sample

Survey

Population variance

Correlation coefficient

Bell-shaped, symmetrical

One data point

Mode

Experiment

Mean

Variable with infinite outcomes

Simulation

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Question 12

5pts

If a speaker noted that 40% of college students love their college statistics course, which of the following would be least likely to reveal a bias in this study?

Group of answer choices

How was the sample selected

How many people were asked

Was there a minimum number for the sample

What was the population considered

How was the question worded

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Question 13

5pts

If a time series line graph shows a large decline from one period to the next, one place to check to ensure the data are presented most accurately would be:

Group of answer choices

Colors used in the legend

Whether graph lines are solid or dotted

The color of the x axis time markers

Starting point of y axis

Ending point of x axis

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Question 14

5pts

To study the safety of a car in accidents at a set speed, it would be important for the researcher to consider the following to avoid bias:

Group of answer choices

The type of guidance or GPS system included in each car

The size and type of cars being tested

Whether the driver lives in the city or rural areas

The color of the cars tested

The age of the driver

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Question 15

5pts

Which of the following organizations (not all are real, consider only the name) is most likely to provide the least biased results of a study on the regulation of fireworks in a specific state.

Group of answer choices

Organization of nationwide 4th of July celebrations

Pet lover's organizations

Firework manufacturing association

Hospital ER organization

State government organization

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Question 16

4pts

If someone were accused of check fraud, it is likely they would use the same digits more frequently than other digits.When there is no check fraud, each digit is used about the same number of times.How might statistics help identify if the digits used on the check values were each used the same number of times?

Group of answer choices

A regression with each digit set as an independent variable

A frequency distribution where the use of digits would result in a normal distribution

A confidence interval where 5 was the middle

Use a hypothesis test where the null hypothesis was set equal to the uniform

A frequency distribution where the use of digits would result in a uniform distribution