Question 1

4pts

If neighbors wanted to have a speed bump installed on one part of the road, which statistical method would be most effective.

Group of answer choices

Regression with speed as an independent variable

Regression with speed as the dependent variable

Hypothesis testing with a null hypothesis that the speed is more than the posted speed

Hypothesis testing with a null hypothesis that the speed is less than or equal to the posted speed

Use a confidence interval with the posted speed as the mean

Flag question: Question 2

Question 2

4pts

If a franchise company wanted to determine why sales were higher at some locations rather than others, what statistical process would be most appropriate?

Group of answer choices

Hypothesis testing with a null hypothesis that the sales are more than the highest sales

Use a confidence interval with the posted speed as the mean

Hypothesis testing with a null hypothesis that the sales are less than or equal to the highest sales

Regression with sales as the dependent variable

Regression with sales as an independent variable

Flag question: Question 3

Question 3

4pts

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

Flag question: Question 4

Question 4

4pts

When a company wants to encourage employees to beat the store's sales from the same week in the previous year, which graph would provide the most effective presentation?

Group of answer choices

Use a confidence interval with last year's sales as the mean

Two pie charts, one for the week in each year

Scatter plot with sales as the y variable and week as the x variable

Bar chart with weekly sales for each year

Pareto chart showing weekly sales

Flag question: Question 5

Question 5

4pts

A restaurant is planning its staffing for weekday dinners.It finds that the number of customers is normally distributed.Which calculation would help them determine the most likely range of customers arriving for that meal?

Group of answer choices

Hypothesis testing with a null hypothesis that the number of customers is less than or equal to the usual number

Hypothesis testing with a null hypothesis that the number of customers is more than the usual number

Use a confidence interval for the number of customers as the mean

Regression with number of customers as the dependent variable

Regression with number of customers as an independent variable

Flag question: Question 6

Question 6

4pts

A production company wants to determine which genre of movie has the largest revenue.Which graph would display genres from the one with the most revenue to the one with the least?

Group of answer choices

Scatter plot with genre as the y variable and revenue as the x variable

Pareto chart showing revenue for each genre

Several pie charts, one for each genre

Bar chart with revenue for each genre, with the genre listed alphabetically

Use a dot plot with the genres on the x axis

Flag question: Question 7

Question 7

4pts

Quality is important when making cleaning products.The quality control department wants to test throughout each production day.Which sampling method would most likely achieve this objective?

Group of answer choices

Using a systematic sampling process during production

Taking a random sample each morning

Selecting products made from the first production line

Using a convenience sampling process during production

Selecting the products made for the most important clients

Flag question: Question 8

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 greater than or equal to the expected number

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

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

A regression with the infection rate as the independent variable

A regression with the infection rate as the dependent variable

Flag question: Question 9

Question 9

4pts

A real estate company is asking the likelihood that a house in a specific neighborhood will sell within 14 days on the market.Which statistical process would be helpful in making an informed estimate?

Group of answer choices

A regression analysis with days on the market until being sold as an independent variable

Determine the probability that other houses sold in that neighborhood in exactly 14 days

Determine the probability that other houses sold in that neighborhood in less than or equal to 15 days

Determine the probability that other houses sold in that neighborhood in less than or equal to 14 days

Determine the probability that other houses sold in the United States in exactly 14 days

Flag question: Question 10

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 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 time plot of sales over the last several years

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

Flag question: Question 11

Question 11

54pts

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

Group of answer choices

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Continuous variable

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Normal distribution

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

q = 1 - p

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

N

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

x

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Left skewed distribution

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Data is collected by watching the behavior of sample

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

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

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Data is collected as a result of computer modeling

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Data is collected by asking a series of questions

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Data is collected that does not fairly represent the population

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

A measure of the spread or variability of the data set

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

n

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

r

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Most frequently occurring value in the date set

[ Choose ]

Number in the sample

Mean

Experiment

Nominal

Sample variance

Probability of failure

Bias

Number in population

Population variance

Survey

Most values on right and tail on left

Correlation coefficient

Mode

Variable with infinite outcomes

Bell-shaped, symmetrical

Observation

Alpha error

One data point

Standard Deviation

Population standard deviation

Simulation

Flag question: Question 12

Question 12

5pts

To study the effectiveness of patient care in hospitals, an organization focused only on patients in hospitals in urban areas.Would you expect the results to be biased? Why or Why not?

Group of answer choices

Yes, as patients may feel pressure to respond positively about patient care so as not to upset their doctor

No, patients in hospitals outside urban areas likely feel the same as patient in urban areas

Yes, as patients in hospitals outside urban areas may have different expectations on patient care than others

No, as patient care is of universal interest

No, as all patients in urban areas would be equally eligible to be in the sample

Flag question: Question 13

Question 13

5pts

The renters in building A complain that their fees are too high compared with renters in other nearby buildings.Which of the following would NOT be a justification for the higher fees in building A?

Group of answer choices

Exercise room

Cleaning services available

Larger rooms in each apartment

Trash pickup day on Monday, rather than Tuesday

Guard at the front desk

Flag question: Question 14

Question 14

5pts

To study the interest in sports of junior high kids, an organization focused on those kids being most active during the outside time of the day.Would you expect the results to be biased?Why or why not?

Group of answer choices

No, sports are universally of interest

No, as inactive kids likely feel the same as the active kids

Yes, the wording of the questions might push kids to a specific answer

Yes, as inactive kids may have different opinions from the others

No, all active kids would be equally eligible to be in the sample

Flag question: Question 15

Question 15

5pts

When polling individuals about who they will likely vote for in the next election, what additional question should also be asked to avoid a biased sample?

Group of answer choices

Their employment status

Whether they voted in the last election

The number of people in their household

Whether they plan to vote in the upcoming election

The location of their next planned vacation

Flag question: Question 16

Question 16

4pts

A study found that on average dogs were walked 40 minutes each day.An organization of dog walkers used these results to say that their members walked dog 40 minutes each day.Why was this an inappropriate use of the survey results?

Group of answer choices

The sample was not narrowed to professional dog walkers

The sample was not large enough to make that conclusion

Dogs of different breeds need different walking times

Dogs are walked more than that

The sample was of only dog owners