StatCrunch: Conducting Hypothesis Tests for a Mean with Summary Data Video Lecture | Statcrunch Tutorials for Beginners - Data & Analytics

In this video you will learn to conduct
the one sample t-hypothesis test
summary data using StatCrunch. this
example comes from Statistics:
Informed Decisions Using Data by Michael Sullivan.
A random sample of 22 apple juice bottles from a manufacturers assembly-line
was found to have a sample mean of 64.01 ounces of juice.
and a sample standard deviation 0.05.
The filling machine
is not precise, which makes the amount of
juice vary from bottle to bottle.
Each bottle's label states it contains 64
ounces of apple juice.
The manufacturer requires that the mean
amount of juice in a bottle
be 64.05 ounces to decrease the
chance in a bottle being
under the 64-ounce threshold by random
chance.
Given the manufacturer's concern about
filling bottles,
we're going to conduct a test to
determine if the mean amount per bottle
may be less than the target of 64.05 ounces.
To compute the one sample t-hypothesis
test
under the "Stat" menu, will choose "T Stats",
"One Sample", "With Summary",
since we do not have the dataset. For the
sample mean we'll enter 64.01.
For the sample standard deviation
we'll enter 0.05, and for the sample size
we'll answer 22.
Under "Perform", "hypothesis test"
is chosen by default. We'll enter 64.05 for the null value
of the population mean.
For this example we'll change the
alternative hypothesis
to "less than" to test if the mean amount of
apple juice in a bottle is actually
lower than the 64.05
ounce standard.
I'll now click "compute". The output table
provides the statistics from this test
including the test statistic and the
p-value.