2. Hypothesis is a predict statement capable of being tested by scientific
methods that relates an independent variables to some dependent variable
A hypothesis states what we are looking for and it is a proportion which
can be put to a test to determine its validity
3. 1. Making an assumption ,called hypothesis ,about a population parameters.
2. Collecting a sample data
3. Calculating a sample statistic
4. Using the sample statistic to evaluate the hypothesis
4.
5.
6. The T-test compares the actual difference between two means in relation to
the variation in the data (expressed as the standard deviation of the difference
between the means).
The basic principle is to test the null hypothesis that the means of the two
groups are equal
7.
o A normal distribution (parametric data)
o Underlying variances are equal
It is used when there is random assignment and only two sets of
measurement to compare.
8. There are 3 type of T-test
Used to compare a sample mean with a known population mean or
some other meaningful , fixed value
Independent samples t-test is applied when we have two independent samples want to
make a comparison between two groups of individuals. The parameters are unknown.
In order to evaluate the mean difference between two population and compare the
sample means on a given variable
9. Used to compare two means that are repeated measures for the same participant
scores might be repeated across different measures or across time
Used also to compare paired samples as in a two treatment randomized block
design
