PS296 Chapter Notes - Chapter 13: Null Hypothesis, Variance, Sampling Distribution
STATS CHAP 13: HYPOTHESIS TESTS APPLIED TO MEANS: TWO RELATED SAMPLES
Terms to remember:
t distribution: sampling of the t statistic when the null hypothesis is true, central t distribution
Standard error: the standard deviation of the sampling distribution of a statistic
Df: an adjusted value of the sample size, often N-1, or N-2
Null hypothesis: the hypothesis to be tested by a statistical test (H0)
Research hypothesis: hypothesis that the study is designed to test (H1)
μ0 = mean of specified population from which we are testing a sample from
μ1 = mean of the sample we are using to test the population
-this chapter moves from one sampe to two sample case but both samples of data provided from the
same participants (related samples)
-deals with t tests on the difference between the means of two related samples
-to calculate t, we divide a difference by a function of variance (standard error)
-larger the variance, the smaller the t and the less likely it is that the difference will be significant
Related samples:
-experimental design in which the same subject is observed under more than one treatment
-we use repeated measures/matched samples to determine the difference between two related samples'
means
-ex asking 20 people to rate their level of anxiety before and after donating blood
Matching/matched pairs:
Document Summary
Stats chap 13: hypothesis tests applied to means: two related samples. Terms to remember: t distribution: sampling of the t statistic when the null hypothesis is true, central t distribution. Standard error: the standard deviation of the sampling distribution of a statistic. Df: an adjusted value of the sample size, often n-1, or n-2. Null hypothesis: the hypothesis to be tested by a statistical test (h0) Research hypothesis: hypothesis that the study is designed to test (h1) 0 = mean of specified population from which we are testing a sample from. 1 = mean of the sample we are using to test the population. This chapter moves from one sampe to two sample case but both samples of data provided from the same participants (related samples) Deals with t tests on the difference between the means of two related samples. To calculate t, we divide a difference by a function of variance (standard error)
