StatCrunch: Conducting Hypothesis Tests for the Difference between Two Means with Summary Data Video Lecture | Statcrunch Tutorials for Beginners - Data & Analytics

In this video you will learn to conduct
hypothesis tests for the difference
between two means
using StatCrunch. In this example I
will compare randomly sampled
4-bedroom homes
listed for sale in two adjoining cities;
Bryan, Texas and
College Station, Texas. A random sample of fifteen homes listed for sale in
Bryan, Texas
was found to have a mean square footage of 200,842 square feet
and a sample standard deviation of 831
square feet. a random sample of 15 homes in
a random sample of 15 homes in College Station, Texas
was found to have a mean of 2,751 square feet
and a sample standard deviation of
774 square feet . This video will cover
how to compute
a two-sample T hypothesis test, but a
similar approach can be used for two
sample Z methods.
So for this video the statistical
question I'm going to test
is; is there significant difference
in the average size of four-bedroom homes listed for sale in the two cities?
To do this, under the "stat" menu
I'll choose "T Stats" . "Two sample",
"With Summary" since we don't have the
actual data.
Under sample 1
I'll enter 2,842
for the sample mean.
the sample standard
deviation was 831, and the sample size is 15.
For sample two
the sample mean was 2,751
the sample standard deviation was 774
and the sample size was 15.
under
"Perform", "Hypothesis Test" is already chosen by default.
For this example leave the null at to
compare the two means.
The alternative can be changed to less
than or greater than but for this
example all even not equal to.
I'll click compute. The output table
provides various statistics from this
test
including the test statistic and the
p-value.