SOCI 3311 Blog

This is a t test for Independent Samples. Use the CALCULATOR labeled T Test - Sum Stats and enter the mean, standard deviation and sample size for each group. Click CALCULATE. You should see the calculated value of t.

okay I was trying to do it as a dependent sample....thank you!

This definition defines the slope of the regression line.

False. No causal conclusions can be drawn from correlation.

Within DF would equal N - K or total number of observations - the number of groups:

45 - 2 = 43

Predicted Y is always the MEAN Y for the normal distribution of Y's.....

The use of linear regression leads to an error variance of 0.

This information is found in unit 9.

The statement is false as z is a static or fixed distribution and t is a dynamic distribution.

Generally speaking, we only have knowledge of SAMPLES drawn from populations.

thank you

In general, if a finding is significant with a certain number of degrees of freedom in the denominator, then it is also significant if that number is increased and the number of degrees of freedom in the numerator remains constant. TRUE because the critical values of F are decreasing (i.e. approaching 1.00) as denominator degrees of freedom increase.

Analysis of variance may be used in place of a t test for difference between means.

This statement is TRUE.

First, convert 134 to z form:

z = (134 - 125)/10 or 9/10 = .9

z = .9

Now read the area ABOVE z = .9 using the STANDARD NORMAL CURVE calculator. That is, using the calculator, enter .9 as one z score and +5 as the second z score and click READ AREA.

Now multiply this area by 100 to convert it to a percent.