
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: |
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Other TI-84 Pages:
| Basic Stats | Statistical Graphs | Normal Probabilities | Hypothesis tests | Confidence Intervals |
| Home Page |
TI's 84 manual See Chapter 13 |
Calculator Exercises |