Two Independent Sample t-Tests

Question 1

Two Sample T-test

Answer 1

A method to test hypotheses comparing TWO population means, with at least one unknown population variances

Question 2

Degrees of freedom for two tests

Answer 2

DF=DF1+DF2
or
(N1-1) + (N2-1)

Question 3

Pooled Sample Variance Equation

Answer 3

S^2p=S^21 (df1) +S^22 (df2)/df1+df2

Question 4

Standard Error of the Mean Differences Formula

Answer 4

Sm1-m2=s^2p/n1+s^2p/n2

Question 5

Between-subjects design

Answer 5

Research design where one observation is given to two groups. Two “levels” of a factor are given, one to each group.

Question 6

Estimated Standard Error for the difference

Answer 6

The combined standard error for both samples in a two sample test

Question 7

Estimated Standard Error Formula

Answer 7

sM1-sM2=√s2p/n1 + s2p/n2

Question 8

Independent sample

Answer 8

When a sample is selected from one or two populations, and divided randomly into two subgroups, who are then compared. Can be quasi-experimental or comparison/control (true experiment)

Question 9

Pooled Sample Variance

Answer 9

The mean sample variance for two samples

Question 10

Pooled Sample variance for unequal sample sizes

Answer 10

s^2p=s^2 1(df1) + s^2 2(df2)/df1 + df2

Question 11

Two-independent-sample t test

Answer 11

Assumptions: normal distribution, random sampling, independence, equal variance.
A statistical test to compare the mean difference between two “independent” groups. One or both variances are unknown.

Question 12

Two sample independent T-test formula

Answer 12

Tobt= (M1-M2) - (μ1-μ2)/sM1-M2

Question 13

SM1-M2