Confidence Intervals and Hypothesis Testing

Hypothesis testing for a single population mean

Confidence intervals for the difference between two population means

Hypothesis testing for the difference between two population means

Confidence intervals for a single population mean

To determine the sample size needed for a study

To test a hypothesis about a population parameter

To provide a range of values within which a population parameter is likely to fall

To estimate the exact value of a population parameter

The ratio of two sample means

The product of two sample means

The difference between two sample means plus or minus a margin of error

The sum of two sample means

The standard deviation of the sample

The amount added or subtracted from the sample mean to create the interval

The range of values within which the true population parameter is expected to fall

The difference between the highest and lowest values in a data set

A manual calculation

A spreadsheet program

A graphing calculator

A statistical software package

One-sample T test

Chi-square test

Two-sample T interval

Two-sample Z test

85%

99%

95%

90%

Students with different diets

Students from different schools

Students with and without sleep

Students with different study habits

10

8

12

6

27

30

25

20