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Chapter 8

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

Course Code
PSYC 315
Alan Boyle

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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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