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SU2: Point Estimation, Confidence Intervals, Hypothesis Tests and ANOVA -…
SU2: Point Estimation, Confidence Intervals, Hypothesis Tests and ANOVA
Chapter 1: Estimation and Confidence Intervals
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)
Chapter 3: Analysis of Variance
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
Chapter 2: Hypothesis Tests: One Sample and Two Sample Tests
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
Use z statistic test, pop is normally distributed, sd known
Testing for Population Mean with Unknown Standard Deviation
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
Two sample tests about proportions/pooled t test
Dependent Samples