# PSYC 315 Chapter Notes - Chapter 8: Null Hypothesis, Standard Error, Confidence Interval

by OC2162174

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**preview**shows page 1. to view the full**4 pages of the document.**Chapter 8: Confidence Intervals, Effect Size & Power

Statistically Significant ≠ Very Important

3 Ways to Move Beyond Flaws in Hypothesis Testing:

1. Confidence intervals

2. Effect size

3. Statistical power

Confidence Intervals

Estimation & Confidence Intervals

1. Point estimate:

a) Estimate a specific value of a population parameter.

2. Interval estimate:

a) More accurate than a point estimate.

b) Estimate of a range of score within which the population parameter lies (typically

95% or 99%).

c) Adding and subtracting a margin of error.

d) Confidence interval.

e) 95% of the time the population mean will fall in this range (if we were to replicate

this study with the same sample size).

Hypothesis Testing & Confidence Intervals (using confidence intervals to test a hypothesis)

1. Determine the values associated with the intended interval:

a) Draw the distribution that will include the CI

b) Draw the bounds of the CI (e.g. 95%, 99%).

c) Determine the z statistic that marks the middle X% (Part 2)

d) Turn the z statistic back into raw means

i. Sample mean (NOT population)

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