Hypothesis Tests and Confidence Intervals
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On this page, I will
describe how to do the following functions:
A one-sample t-test
A one-sample z-test
A z-confidence interval
A t-confidence interval
T-tests and Z-tests | |||
Note: a z-test and z-interval are used when the population standard deviation is known. If it not known, the t-test and t-interval are used. The sample standard deviation is computed in lieu of the population standard deviation. Technically, you should only use z-tests with data sets of more than 30 numbers. The examples shown here are thankfully smaller. | |||
T-tests: one variable | |||
The Problem: Given a list of numbers, is the mean of that list significantly different than m0? | |||
The Solution: Get
into STAT mode and type in your list. Press ![]() ![]() ![]() The first line says Data:List. Press ![]() The second line says m ≠ m0. We want this so press ![]() ![]() ![]() The third line says m0:0. Type in your m0 value and press ![]() Press ![]() |
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Example: For the following
list of numbers: 7 6 5 7 4 3 4 4 6 5:
Solution:
You should see the following for the
first question: Since p<0.05, we reject the null hypothesis and affirm that the mean is not 4. For the second question,
t=0.230769231
and p=0.41132727. |
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Z-tests: one variable | |||
The Problem: Given a list of numbers, is the mean of that list significantly different than µ0? | |||
The Solution: The Solution: Get
into STAT mode and type in your list. Press ![]() ![]() ![]() The first line says Data:List. Press ![]() The second line says m ≠ m0. We want this so press ![]() ![]() ![]() The third line says m0:0. Type in your m0 value and press ![]() The fourth line says s:0. Type in your s value and press ![]() Press ![]() |
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Examples: The following
list of numbers: 1 9 6 5 3 8 come from a
distribution with s = 2.75.
Solutions:
For question 1, you should get
z=0.02969079 and p=0.97631355. |
Confidence intervals | ||||
Using the t-distribution | ||||
The Problem: Find an interval for which you can be p% confident that it contains the population mean. | ||||
The Solution: Get into
STAT mode and enter the data. Press ![]() ![]() ![]() The first line reads Data: List. Simply press ![]() The next reads C-level. Enter p as a decimal and press ![]() The next line reads List :List1. We want this so press ![]() |
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Example: For the following
list of numbers: 8 4 3 8 1 2 2 0 0 6, construct a 95% confidence interval. Solution: (once in
STAT mode) You should see the following: Left =1.23546245 |
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Using the z-distribution | ||||
The Problem: Find an interval for which you can be p% confident that it contains the population mean. The standard deviation is known to be s. | ||||
The Solution: Get into
STAT mode and enter the data. Press ![]() ![]() ![]() The first line reads Data: List. Simply press ![]() The next reads C-level. Enter p as a decimal and press ![]() The next line reads s: Enter s and press ![]() ![]() |
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Example: For the following
list of numbers: 8 4 3 8 1 2 2 0 0 6, construct a 95% confidence interval.
Take
s to be 3. Solution: (once in
STAT mode) You should see the following: Left =1.5406149 |
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