See also: Basic Stats Statistical Graphs Home Page Calculator Exercises
The position of the graphically represented keys can be found by moving your mouse on top of the graphic.
On this page, I will describe how to do the following functions:
Computing
probabilities with normal distributions.
Inverse normal problems
A one-sample t-test
A one-sample z-test
A z-confidence interval
A t-confidence interval
Probabilities on the Normal Distribution | |||||||||
The Problem: Given a normal distribution X with mean m and standard deviation s, what is the probability that X is between a and b? P(a<X<b) | |||||||||
The Solution:
Press ![]() ![]() ![]() ![]() ![]() ![]() If you want to compute P(X < b),
then make a very small. |
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Examples: A
normal distribution X has a mean of 100 and a standard deviation of 8.
Solutions:
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Inverse Probabilities on the Normal Distribution | |||||||||
The
Problem: Given a normal distribution X with mean m and standard deviation
s, what
x-value is larger than
a percentage p of the data? (p must be between 0 and 1, naturally.) I.e., for what x is P( X < x) = p? |
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The Solution:
Press ![]() ![]() ![]() ![]() ![]() ![]() If you want to compute P(X > x) = p. Compute P(X < x) = 1 - p. |
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Examples: A
normal distribution has a mean of 20 and a standard deviation of 3.
Solutions:
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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: Enter your
data in L1. That is: Press ![]() ![]() ![]() ![]() ![]() ![]() The first line will read: Inpt: Data Stats. Press ![]() ![]() The next line will read: m0: . Enter m0 - the mean you want to compare your list with. The next line will read: List: L1. Press ![]() The next line will read: Freq: 1. Press ![]() The next line will read: m0: =m0 <m0 >m0. Press ![]() ![]() Press ![]() |
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Example: For the following
list of numbers: 4 9 7 0 6:
Solution:
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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: Enter your
data in L1. That is: Press ![]() ![]() ![]() ![]() ![]() ![]() The first line will read: Inpt: Data Stats. Press ![]() ![]() The next line will read: m0: . Enter m0 - the mean you want to compare your list with. The next line will read: s: . Enter s - the population standard deviation. The next line will read: List: L1. Press ![]() The next line will read: Freq: 1. Press ![]() The next line will read: m0: =m0 <m0 >m0. Press ![]() ![]() Press ![]() |
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Examples: The following
list of numbers: 1 9 6 5 3 8 come from a
distribution with s = 2.748.
Solutions:
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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: Enter your
data in L1. That is: Press ![]() ![]() ![]() ![]() ![]() ![]() The first line will read: Inpt: Data Stats. Press ![]() ![]() The next line will read: List: L1 . Press ![]() The third line will read: Freq: 1. Press ![]() The next line will read: C: . Enter p as a decimal. (So a 95% confidence interval would be entered as 0.95. Press ![]() ![]() You should now see the confidence interval, along with the mean x, the standard deviation sx, and the number of data values n. |
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Example: For the following
list of numbers: 4 7 9 0 6, construct a 95% confidence interval.
Solution: |
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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: Enter your
data in L1. That is: Press ![]() ![]() ![]() ![]() ![]() ![]() ![]() The first line will read: Inpt: Data Stats. Press ![]() The second line will read: s: Enter the standard deviation. Press ![]() The next line will read: List: L1 . Press ![]() The next line will read: Freq: 1. Press ![]() The next line will read: C: . Enter p as a decimal. (So a 95% confidence interval would be entered as 0.95. Press ![]() ![]() You should now see the confidence interval, along with the mean x, the standard deviation sx, and the number of data values n. |
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Example: The following
list of numbers: 1 9 6 5 3 8 come from a
distribution with s = 2.748. Construct a 99% confidence interval.
Solution: |
Other TI-83 Pages:
Basic Stats | Statistical Graphs | Normal Probabilities | Hypothesis tests | Confidence Intervals |
Home Page | TI's 83 manual | Calculator Exercises |
Here's a link to the TI-83 Plus manual.
Here's a link to the TI-83 Plus Silver Edition manual.