Topics |
Lists and Matrices |
Enter a new list |
Edit an existing list |
Clear a list |
Enter or edit a matrix |
Descriptive statistics |
Find the mean or median |
Find the range |
Find the population variance or standard deviation |
Find the sample variance or standard deviation |
Find quartiles |
Stats for grouped data |
Use a computed statistic |
Displays |
Construct a frequency histogram |
Construct a box-and-whisker plot |
Construct a line graph |
Construct a scatter plot |
The binomial distribution |
Binomial distribution: probability of exactly x successes |
Binomial distribution: probability of at most x successes |
Binomial distribution: probability of at least x+1 successes |
Binomial distribution |
The normal distribution |
Probabilities for x~N(μ,σ) |
Construct a normal probability plot |
Confidence intervals |
z Confidence interval (σ known) |
t Confidence interval (σ unknown) |
Hypothesis tests |
Z-Test (σ known) |
T-Test (σ unknown) |
Correlation and regresssion |
r and trendline coefficients |
Add a trendline to a scatter plot |
Notation |
On the TI-84+: |
Sx means the sample standard deviation s |
σx means the population standard deviation σ |
Problems and Errors |
INVALID DIM when graphing |
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List L1 is gone |
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Normal probability plot does not appear |
Press ZOOM, then 9. |
LinReg does not show r |
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Weird error which won't go away |
Try resetting all RAM, which erases temporary memory only:
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Try resetting defaults:
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If these don't work, you need an expert (not me, I'm afraid). |
Enter a new list |
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If you chose list L1, your list will be stored in the variable L1 (= 2ND 1), and so on. |
Edit an existing list |
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Clear a list |
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Enter or edit a matrix |
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Find the mean or median |
This assumes that you have put a list in L1. |
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To use the mean or median in a computation, see the section on using a computed statistic. |
Find the range |
This assumes that you have put a list in L1. |
Your calculator does not find the range explicitly. Instead you must compute xmax – xmin. |
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Find population variance or standard deviation |
This assumes that you have put a list in L1. |
Your calculator does not find the population variance directly. You find the population standard deviation and square it. |
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Find sample variance or standard deviation |
This assumes that you have put a list in L1. |
Your calculator does not find the sample variance directly. You find the sample standard deviation and square it. |
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Find quartiles |
This assumes that you have put a list in L1. |
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Stats for grouped data |
This assumes that you have put your data (or midpoints) in L1 and your frequencies in L2. |
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Use a computed statistic |
This assumes that you have put a list in L1. |
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You can select a variable from VARS at any time. To see an example of this within a calculation, see the section on range. |
Construct a frequency histogram |
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This assumes that you have put the data in L1. | |
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Construct a box-and-whisker plot |
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This assumes that you have put a list in L1 consisting of xmin, Q1, Q2, Q3, and xmax in that order. | |
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Construct a line graph |
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This assumes that you have put your x-coordinates in L1 and your y-coordinates in L2. | |
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Construct a scatter plot |
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This assumes that you have put your x-coordinates in L1 and your y-coordinates in L2. | |
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You can add a trendline to a scatter plot. |
Binomial distribution: probability of exactly x successes |
To find the probability of exactly x successes in n Bernoulli trials with P(success) = p: |
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Binomial distribution: probability of at most x successes |
To find the probability of at most x successes in n Bernoulli trials with P(success) = p: |
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Binomial distribution: probability of at least x+1 successes |
To find the probability of at least x+1 successes in n Bernoulli trials with P(success) = p: |
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Binomial distribution |
To display a binomial distribution for n trials each having P(success) = p |
Lists L1 and L2 should be cleared before beginning. |
First get the numbers of successes into L1: |
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Now get the binomial probabilities into L2: |
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Binomial distribution: probability of at least x successes |
To find the probability of at least x successes in n Bernoulli trials with P(success) = p |
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Probabilities for x~N(μ,σ) |
Given c, find P(x<c): Use normalcdf(-10000,c,μ,σ):
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Given a probability p, find c such that P(x<c) = p: Use invNorm(p,μ,σ):
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Construct a normal probability plot |
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This assumes that you have put the data in L1. | |
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z Confidence interval (σ known) |
You must either know that the population is approximately normal, or have n ≥ 30 (or both). |
You will need the sample size n; the sample mean x̄; and the population standard deviation σx.
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t Confidence interval (σ unknown) |
You must be able to apply the CLT. There are different procedures depending on whether you have data or stats. |
If you have put the data in L1:
the sample size n; the sample mean x̄; and the sample standard deviation Sx:
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Z-Test (σ known) |
You must know either that the population is approximately normal, or have n ≥ 30 (or both). |
You will need μ0; the population standard deviation σx; the sample mean x̄; and the sample size n.
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T-Test (σ unknown) |
You must be able to apply the CLT. There are different procedures depending on whether you have data or stats. |
If you have put the data in L1:
the sample size n; the sample mean x̄; the sample standard deviation Sx:
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r and trendline coefficients |
This assumes that you have put your x-coordinates in L1 and your y-coordinates in L2. |
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Numbers a, b, r, and r2 should be displayed. If r or r2 is not displayed, see the Problems and errors section. |
Add a trendline to a scatter plot |
This assumes that you have put your x-coordinates in L1 and your y-coordinates in L2 and made a scatter plot. |
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