EHS Unit 3.1 Part 1 Day 3 Redo

Front

What is the difference between descriptive and inferential statistics?

Back

Descriptive statistics summarize and describe the characteristics of a data set, while inferential statistics make predictions or inferences about a population based on a sample.

Tags

CCSS.HSS.IC.B.3

Front

What is a population in statistical terms?

Back

A population is the entire group of individuals or instances about whom we hope to learn.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a sample in statistical terms?

Back

A sample is a subset of the population that is used to represent the entire group.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is the purpose of conducting a survey?

Back

The purpose of conducting a survey is to gather information and insights from a specific group to make inferences about a larger population.

Tags

CCSS.RI.11-12.7

CCSS.RI.8.7

CCSS.RI.9-10.7

CCSS.RL.11-12.7

CCSS.RL.9-10.7

Front

What does it mean if a survey is representative?

Back

A survey is representative if the sample accurately reflects the characteristics of the population from which it is drawn.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is the significance of sample size in surveys?

Back

Larger sample sizes generally lead to more reliable and valid results, reducing the margin of error.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a parameter in statistics?

Back

A parameter is a numerical characteristic or measure obtained by using all the data values from a specific population.

Tags

CCSS.HSS.IC.B.3

Front

What is a statistic in statistics?

Back

A statistic is a numerical characteristic or measure obtained by using the data values from a sample.

Front

What is the role of random sampling in surveys?

Back

Random sampling ensures that every individual in the population has an equal chance of being selected, which helps to eliminate bias.

Tags

CCSS.HSS.IC.B.3

Front

What is bias in the context of surveys?

Back

Bias refers to systematic errors that can lead to incorrect conclusions about the population based on the sample.