Data Collection Statistics

What is the purpose of sampling methods in statistics data collection?

• To increase the accuracy of the data

• To make the data look more diverse

• To reduce the amount of data collected

• To select a subset of individuals or items from a larger population in order to make inferences about the whole population.

What is the role of a sample size in statistics data collection?

• A larger sample size increases the accuracy and reliability of the data collected.

• A larger sample size makes the data collection process faster.

• A larger sample size makes the data look more diverse.

• A larger sample size reduces the amount of data collected.

What type of correlation does the graph show?

• Positive Correlation

• Negative Correlation

• No Correlation

The principal asks 50 randomly selected students whether the student parking lot should be expanded. Identify the method of data collection.

​ (a)  

• Survey

• Experiment

• Observational Study

• Simulation

The principal asks 50 randomly selected students whether the student parking lot should be expanded. Identify the method of data collection.

• Survey

• Experiment

• Observational Study

• Simulation

Which of the below choices could possibly be the correlation coefficient for this scatterplot?

• r = 1.2

• r = 0.89

• r = 0

• r = -0.89

Which graph shows a line of best fit for the scatter plot?

• Graph A

• Graph B

• Graph C

• Graph D

Tags

CCSS.8.EE.B.5

Describe the association for the scatterplot based on data plotted.

• As the weeks increase, the amount of money on the gift card increases.

• As the weeks decrease, the amount of money on the gift card increases.

• There is no relationship between the time in weeks and the amount of dollars.

• As the weeks increase, the amount of money on the gift card decreases.

Tags

CCSS.HSF-LE.A.1B

What is the relative frequency of people that purchased no food?

• 10%

• 60%

• 15%

• 30%

According to the table, what is the relative frequency of Students ages 14 - 17 who skip breakfast?

• About 67%

• About 35%

• About 15%

• About 30%