Stats - Fall 2024 Final

Front

What is a statistical population?

Back

A statistical population is the entire set of individuals or items that we are interested in studying or analyzing.

Tags

CCSS.6.SP.A.2

Front

Define a sample in statistics.

Back

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

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the difference between descriptive and inferential statistics?

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Descriptive statistics summarize and describe the features of a dataset, while inferential statistics use a sample to make generalizations or predictions about a population.

Tags

CCSS.HSS.IC.B.3

Front

What is a null hypothesis?

Back

A null hypothesis is a statement that there is no effect or no difference, and it serves as the starting point for statistical testing.

Front

Explain the concept of p-value in hypothesis testing.

Back

The p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true.

Front

What is a confidence interval?

Back

A confidence interval is a range of values that is likely to contain the population parameter with a specified level of confidence.

Tags

CCSS.HSS.IC.B.4

Front

Define standard deviation.

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Standard deviation is a measure of the amount of variation or dispersion in a set of values.

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What is a correlation coefficient?

Back

A correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables.

Tags

CCSS.HSS.ID.B.5

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What does it mean if two variables are independent?

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Two variables are independent if the occurrence of one does not affect the probability of the occurrence of the other.

Tags

CCSS.HSS.CP.A.2

CCSS.HSS.CP.A.4

Front

What is a Type I error in hypothesis testing?

Back

A Type I error occurs when the null hypothesis is rejected when it is actually true.