SU2: Point Estimation, Confidence Intervals, Hypothesis Tests and ANOVA

Chapter 1: Estimation and Confidence Intervals

Chapter 3: Analysis of Variance

Chapter 2: Hypothesis Tests: One Sample and Two Sample Tests

Point estimate

Confidence Interval for Population Mean

Population Standard Deviation Known

Population Standard Deviation Unknown

Confidence Interval for Population Proportion (Sample proportion p =X/n)

2.1 One-Sample Test of Hypothesis

5 Step Hypothesis Testing

Step 3: Identify the test statistic

Step 4: Formulate a decision rule

Step 2: Select a level of significance

Step 5: Take a sample, arrive at decision

Step 1: State null and alternate hypothesis

One Tailed & Two Tailed Tests of Significance

Testing for Population Mean with Known Standard Deviation

Testing for Population Mean with Unknown Standard Deviation

Use z statistic test, pop is normally distributed, sd known

use t statistic test, continuous distribution, bell shaped and symmetrical, sd unknown

Types of Tests of Hypothesis for a Proportion

H0 >=, H1 >

H0>=, H1<

H0=, H1=/

2.2 Two Sample Tests of Hypothesis

Independent Samples

Dependent Samples

Two sample tests about proportions/pooled t test

Comparing two Population Variances

F distribution

Hypothesis test for two population variances

Comnparing Multiple Population Means

ANOVA assumptions

the pop follows normal dist

pops have equal sd

pops are independent

ANOVA test