Minitab Notes for Activity 5
Entering the Data (Question 4)
- Label an empty column of the worksheet as "mass"
- Enter the masses that you collected in question 4 in that column.
Summarize the Sample (Question 6)
- Choose Stat / Basic Statistics / Display Descriptive Statistics
- Select the mass variable
- Click OK.
Checking Normality (Question 9)
Generate a graphical summary of the data
- Choose Stat / Basic Statistics / Graphical Summary
- Select the mass variable
- Click OK.
The only thing you can't tell
from that is the question about the probability plot although it might be easier
to spot outliers on the probability plot than the histogram (depending on how
far out there they are). To generate a probability plot, do the following.
- Choose Stat / Basic Statistics / Normality Test (or you can choose Graph
/ Probability Plot / Single)
- Select the mass variable
- Click OK
Finding the Critical Values (Question 17)
The easiest way to find the critical values is to go to Table T in your appendix
and look up the value(s). If you are using a normal distribution (see question
15), then use the bottom row of the t-table where it says infinity.
However,
if you want to do this with Minitab, you can do the following. These instructions
assume you're using a t distribution. If you're using a normal distribution,
then choose normal in step 1 instead of t and ignore the part about degrees
of freedom.
- Choose Calc / Probability Distributions / t
- Check Inverse Cumulative Probability
- Enter the proper degrees of freedom
- Click the Input Constant radio button
- Enter the area to the left of the critical value into the Input Constant
box.
Minitab always takes the area to the left, so you'll have to adjust if you're
not working with a left tail already.
- If you have a left tail test, this is alpha. For example, if your significance
level was 0.10, then you would enter 0.10 into the box.
- If you have a right tail test, this is 1-alpha. For example, if your
significance level was 0.10, then you would enter 0.90 into the box.
- If you have a two tail test, then you need to repeat this whole process
two times. The first time, use alpha/2 for the area on the left and 1-alpha/2
for the area on the right. For example, if your significance level was
0.10, then there would be half of that (0.05) on each side. The first
time through, you would use 0.05 and the second time through you would
use 0.95.
- Click OK
Finding the Test Statistic, p-value, and confidence interval (Questions 20-22)
The place to go in Minitab depends on whether you said your test statistic
had a normal or t distribution in step 15. In either case, only do one of the
following.
Student's T Distribution - Sample Standard Deviation known
- Go to Stat / Basic Statistics / 1-Sample t
- Select mass as your variable to test
- Enter the claimed mean in the "test mean" box
- Go into options
- The confidence interval should agree with your significance level.
If your significance level is 0.10 (10%), then your confidence level
should be 90%.
- Make sure the alternative hypothesis is set properly for your problem.
- Click OK
- Click OK
Notice how the summary statistics are given. You didn't have to do a separate
step in question 6 to find them, they're given here. However, we wanted to
check for normality, so it was a good thing we did question 6.
Normal Distribution - Population standard deviation known
- Go to Stat / Basic Statistics / 1-Sample z
- Select mass as your variable to test
- Enter the population standard deviation into the sigma box. If you don't
have the population standard deviation, you shouldn't be using the normal
test.
- Enter the claimed mean in the "test mean" box
- Go into options
- The confidence interval should agree with your significance level.
If your significance level is 0.10 (10%), then your confidence level
should be 90%.
- Make sure the alternative hypothesis is set properly for your problem.
- Click OK
- Click OK
Changing to a One-Tail Test (Question 28)
- Repeat the section above for questions 20-22, but under options, change
the alternative to be a greater than.
- Click OK