Sections
Chapter Review

# Chapter Review

### 10.1Two Population Means with Unknown Standard Deviations

Two population means from independent samples where the population standard deviations are not known

• Random variable: $X¯1−X¯2X¯1−X¯2$ = the difference of the sampling means
• Distribution: Student’s t-distribution with degrees of freedom (variances not pooled)

### 10.2Two Population Means with Known Standard Deviations

A hypothesis test of two population means from independent samples where the population standard deviations are known (typically approximated with the sample standard deviations) will have these characteristics:

• Random variable: $X¯1−X¯2X¯1−X¯2$ = the difference of the means
• Distribution: normal distribution

### 10.3Comparing Two Independent Population Proportions

Test of two population proportions from independent samples

• Random variable: $p^A–p^B=p^A–p^B=$ difference between the two estimated proportions
• Distribution: normal distribution

### 10.4Matched or Paired Samples (Optional)

A hypothesis test for matched or paired samples (t-test) has these characteristics:

• Test the differences by subtracting one measurement from the other measurement.
• Random variable: $x¯dx¯d$ = mean of the differences.
• Distribution: Student’s t-distribution with n – 1 degrees of freedom.
• If the number of differences is small (less than 30), the differences must follow a normal distribution.
• Two samples are drawn from the same set of objects.
• Samples are dependent.