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Chapter 18 : Inferential Statistics (HYPOTHESIS TESTING (Decision…
Chapter 18 : Inferential Statistics
BASICS
Inferential Statistics
Sample Vs Population
Statistics Vs Parameter
Symbols
Study samples not populations
SAMPLING DISTRIBUTIONS
definition
repeated sampling
sampling error
standard error
sampling distribution of mean **
ESTIMATION
Point Estimation
single value
sampling error
Interval Estimation
range of numbers
confidence interval
probability
including the population parameter
HYPOTHESIS TESTING
Null Hypothesis
Alternative Hypothesis
Directional alt. hypothesis**
sample data reject or support null hypothesis
P-value / alpha
significant level
Decision
statistically significant?
Decision Matrix
Type 1 & type 2 error
Controlling the risk
large sample size
power
practical significance
effect size
Steps in hypothesis testing
SIGNIFICANCE TESTS
t-test for independent samples
t values
large = either end of tail
p values, sig. level
one way ANOVA
2 / more group means
F value
no r/s F = 1.0
p value, sig. level
Post Hoc Test
which one?
p value, sig. level
t-test // correlations coefficients
p. value, sig. level
variance
square the correlation coefficients and turn it into %
t-test // regression coefficients
p. value, sig. level
semi partial correlation squared
chi-square test // contingency tables
p. value, sig. level
effect size indicator