Hi I need help fairly quick. Could someone please help with these questions?

T-tests are used when you want to examine differences but you do not know everything about the population. There are three types of t-tests that you may choose to do: one-sample t-test, independent sample t-test, or dependent sample t-test. You can calculate these by hand, in SPSS, or in Excel. The instructions below can be used for SPSS and your textbook offers instructions for using Excel.

**Single-sample t-tests:**

** These tests are used when you want to determine the probability that a sample was drawn from a population with a known mean (μ) but with a standard deviation estimated from the sample.**

**Independent sample t-test:**

**These tests are used when you want to determine the probability that two samples were drawn from the same population with unknown means and standard deviations; both of which are estimated from the sample. No population parameters are specified.**

**Dependent samples t-test:**

** We use this t-test when we have a repeated measures design such as the same sample completes a pre and post-test and we want to know if there is a difference from one test to the other.**

**Let's try a few using the data below. Be sure to attach your printouts and answer the questions below. **

*First, perform an independent sample t-test for gender (IV) and pretest scores (DV)*

*Were there significant gender differences? How do you know? Interpret the results statistically and in words.*

*2.Then perform an independent sample t-test for gender (IV) and posttest scores (DV) Were there significant gender differences? How do you know? Interpret the results statistically and in words.*

*3.Now, perform a paired (dependent) sample t-test for pretest and posttest scores.*

*Were there two scores significantly different? How do you know? Interpret the results statistically and in words.*

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**Data Set Homework 2 (*note 1 = males, 2 = females)**

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**Gender Pretest Posttest**

**1.00 50.00 80.00**

**1.00 50.00 70.00**

**1.00 80.00 70.00**

**1.00 80.00 50.00**

**1.00 70.00 50.00**

**1.00 70.00 50.00**

**1.00 60.00 60.00**

**1.00 60.00 80.00**

**1.00 90.00 80.00**

**1.00 90.00 90.00**

**1.00 90.00 80.00**

**1.00 80.00 90.00**

**1.00 80.00 90.00**

**1.00 70.00 70.00**

**1.00 70.00 80.00**

**1.00 50.00 80.00**

**1.00 50.00 70.00**

**1.00 50.00 70.00**

**1.00 60.00 60.00**

**1.00 70.00 80.00**

**2.00 50.00 70.00**

**2.00 40.00 50.00**

**2.00 40.00 80.00**

**2.00 70.00 80.00**

**2.00 50.00 70.00**

**2.00 50.00 80.00**

**2.00 50.00 90.00**

**2.00 60.00 90.00**

**2.00 70.00 90.00**

**2.00 40.00 80.00**

**2.00 40.00 80.00**

**2.00 30.00 70.00**

**2.00 30.00 70.00**

**2.00 50.00 60.00**

**2.00 60.00 80.00**

**2.00 40.00 80.00**

**2.00 70.00 80.00**

**2.00 50.00 70.00**

**2.00 60.00 70.00**

**2.00 70.00 90.00**

#### Top Answer

alpha = 0.05 (assume)... View the full answer

- Thank you so much ! I completely understand this so much better!
- rlzlopes1997
- Apr 02, 2018 at 8:24am