PSYC 1010 Study Guide - Final Guide: Statistical Hypothesis Testing, Null Hypothesis, Test Statistic
1010 exam Chapter 7
Raw scores, z scores, and percentages
•Finding the percentiles;
•1st: find the z score
•2nd: look up the z score on the table ( 0.98 would be 33.65%)
•Finding score below hers ( 50%=33.65=83.65%)
•Finding score above ( 50-33.65=16.35%)
•Find extremes( 16.35=16.35=32.70%== 16.35% on each end)
The assumptions for conduction analyses
•Assumptions: characteristics that we ideally require the population from which we are
sampling to have so that we can accurate inferences
•Assumption for the z test apply to several hypothesis,
•Parametric test: inferential statistical analysis that aren't based on a set of assumption
about the population
•Nonparametric tests: are inferential statical analysis that aren't based on a set of
assumption about the population
•1.) Depended is scale measure
•2.) randomly selected
•3.) Distribution of the population of interest must be approximating normal
•Robust: hypothesis tests are those that produce family accurate results even when the data
suggest that the population might not meet some of the assumptions
The 6 steps go hypothesis testing
•Step1: Identify the population, comparison distribution and assumption
•Step2: state the null and research hypothesis
•Step3: Determine the characteristics of the comparison distribution ( standard error)
•Step4: Determine the critical values, or cutoffs
•Critical values: the test statistics values beyond which we reject the null hypothesis
•Critical region: the area in the tails of the comparison distribution in which the null
hypothesis can be rejected
•Probabilities used to determine the critical values, or cutoffs, in hypothesis testing are p
levels
•Step5: Calculate the test statistic (z score using mean and standard error)
•Step6: Make a decision
•Based on the available evidence we either reject the null or fail to reject it. Beyond
cutoff= reject null hypothesis, not beyond cutoff= fail to reject