# Using the TI 83 Plus Calculator by lqz95924

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```									                          Using the TI 83 Plus Calculator

Mean                                        Mean from a List
nd
1.  2 – LIST                                1. STAT
2.   MATH                                  2.  CALC
3.   MEAN                                  3. VAR STATS
4.  {enter values separated by a            4. ENTER
comma}                                  5. Read value of mean from stats
5. End parenthesis                            given (by default, analyzes L1)
6. ENTER

Median                                      Create a LIST of values
1. 2nd – LIST                                1. STAT
2.  MATH                                    2.  EDIT
3.  MEDIAN                                  3. ENTER
4. {enter values separated by a              4. Enter values, use  or ENTER
comma}                                       after each value; use DEL to
5. End parenthesis                              delete an entry
6. ENTER                                     5. When done, 2nd - QUIT

Weighted Mean                               Weighted Mean from Lists
1. 2nd – LIST                               1. Create a list in L1 for the data
2.  MATH                                      values
3.  MEAN                                   2. Create a list in L2 for the weights
4. {enter values separated by a                associated with the data values
comma}                                      (order is important!)
5. Close Parentheses                        3. STAT
6. Comma, open Parentheses                  4.  CALC
7. {enter weights separated by a            5. VAR STATS
comma} NOTE: weights must                6. Type 2nd – L1, 2nd L2 (separated
be in order of data values                  by a comma)
8. Close Parentheses                        7. ENTER
9. ENTER                                    8. Read value of mean from stats
given
Mean of a Frequency Table                 Mean of a Frequency Table from Lists
1. Calculate the class marks              1. Calculate the class marks
(midpoint of the class ranges)           (midpoint of the class ranges)
2. 2nd – LIST                             2. Create a list in L1 for the class
3.  MATH                                    marks
4.  MEAN                                 3. Create a list in L2 for the
5. {enter class marks separated by           frequencies associated with the
a comma}                                 data values (order is important!)
6. Close Parentheses                      4. STAT
7. Comma, open Parentheses                5.  CALC
8. {enter frequencies separated by a      6. VAR STATS
comma} NOTE: frequencies              7. Type 2nd – L1, 2nd L2 (separated
must be in order of class marks          by a comma)
9. Close Parentheses                      8. ENTER
10. ENTER                                 9. Read value of mean from stats
given

Standard Deviation                        Standard Deviation from a List
1. 2nd – LIST                             1. STAT
2.  MATH                                 2.  CALC
3.  STANDARD DEVIATION                   3. VAR STATS
4. {enter values separated by a           4. ENTER
comma}                                 5. Read value of std. dev from stats
5. End parenthesis                           given (by default, analyzes L1)
6. ENTER

Standard Deviation of a Freq. Table       Standard Deviation of a Freq. Table
1. Calculate the class marks           from Lists
(midpoint of the class ranges)        1. Calculate the class marks
2. 2nd – LIST                                (midpoint of the class ranges)
3.  MATH                                 2. Create a list in L1 for the class
4.  STANDARD DEVIATION                      marks
5. {enter class marks separated by        3. Create a list in L2 for the
a comma}                                 frequencies associated with the
6. Close Parentheses                         data values (order is important!)
7. Comma, open Parentheses                4. STAT
8. {enter frequencies separated by a      5.  CALC
comma} NOTE: frequencies              6. VAR STATS
must be in order of class marks       7. Type 2nd – L1, 2nd L2 (separated
9. Close Parentheses                         by a comma)
10. ENTER                                 8. ENTER
9. Read value of std. dev. from stats
given
Binomial Distribution Probability          To Create a Probability Distribution
1. 2nd – VARS (DISTR)                   (List) for the Binomial Distribution
2.  BINOPDF(                               1. STAT
3. ENTER                                    2. EDIT
4. enter the n, p, x values separated       3. ENTER
by commas                                4. Enter values of X in L1
5. ENTER                                    5. In L2 column
a) 2nd – VARS (DISTR)
Factorials                                         b)  BINOPDF(
1. Type number                                  c) ENTER
2. MATH                                         d) enter the n, p, x value for the
3.  PRB                                           respective data point
4.  !                                             separated by commas
5. ENTER                                        e) ENTER
6. ENTER                                        f) Repeat steps a-e until done
6. 2nd – QUIT to exit list
Permutations (nPr)
1. type the value for n                 Combinations (nCr)
2. MATH                                   1. type the value for n
3.  PRB                                  2. MATH
4.  nPr                                  3.  PRB
5. ENTER                                  4.  nCr
6. type the value for r                   5. ENTER
7. ENTER                                  6. type the value for r
7. ENTER

Create a Normal Quantile Plot              Create a Box Plot
1. Enter data values in L1                 1. Enter data values in L1
2. 2nd – Y= (STAT PLOT)                    2. 2nd – Y= (STAT PLOT)
3. Select ON                               3. Select ON
4. ,  last graph item in 2nd row         4. ,  BOX PLOT
5. ENTER                                   5. ENTER
6. enter list number (e.g., 2nd – L2)      6. ZOOM
7. ZOOM                                    7.  to option 9
8.  to option 9                           8. ENTER
9. ENTER                                   9. Use arrow keys to read X-axis
10. Use arrow keys to read X-axis             values on the plot
values on the plot
Finding the probability using the        Finding the x value associated with a
Normal Distribution                      probability using the Normal
1. 2nd – VARS (DISTR)                 Distribution
2.  normalcdf(                          1. 2nd – VARS (DISTR)
3. ENTER                                 2.  invNorm
4. enter (lower value, upper value,      3. ENTER
mean, standard deviation)             4. enter (total area to left, mean,
5. ENTER                                     standard deviation)
5. ENTER
NOTE: for - , use -999999
for + , use 999999

Confidence Intervals from a List         Confidence Intervals using Summary
based on Normal Distribution             Values (n, x-bar, ), based on Normal
1. Create a list of values            Distribution
2. STAT                                  1. STAT
3.  TEST                                2.  TEST
4.  ZInterval                           3.  ZInterval
5. ENTER                                 4. ENTER
6. DATA                                  5.  STATS
7. ENTER                                 6. ENTER
8. Enter value for                      7. Enter value for , x-bar, n
9. Specify List (e.g., 2nd – L1)         8. Specify confidence level
10. Specify confidence level             9. CALCULATE
11. CALCULATE                            10. ENTER
12. ENTER

Confidence Intervals from a List         Confidence Intervals using Summary
based on Student t distribution          Values (n, x-bar, ), based on
1. Create a list of values            Student t Distribution
2. STAT                                  1. STAT
3.  TEST                                2.  TEST
4.  TInterval                           3.  TInterval
5. ENTER                                 4. ENTER
6. DATA                                  5.  STATS
7. ENTER                                 6. ENTER
8. Specify List (e.g., 2nd – L1)         7. Enter value for s, x-bar, n
9. Specify confidence level              8. Specify confidence level
10. CALCULATE                            9. CALCULATE
11. ENTER                                10. ENTER
Create a Histogram                        Finding the Equation of the
1. Enter class midpoints in L1         Regression Line
2. Enter class frequencies in L2          1. Enter the x values in L1, y values
3. 2nd – Y= (STAT PLOT)                       in L2
4. Select ON                              2. STAT
5. ,  HISTOGRAM                         3. TESTS
6. ENTER                                  4. LinRegTTest
7. X LIST: enter 2nd – L1                 5. Enter list names for x and y
8. FREQ: enter 2nd – L2                   6. Specify alternative hypothesis
9. ZOOM                                   7. CALCULATE
10.  to option 9                      Scroll down until you find the values for
11. ENTER                              a and b
Use arrow keys to read X-axis values
and frequencies on the plot               Hypothesis Testing about 2 means,
Large Samples, Independence
Create a Scatter Diagram                     1. STAT
1. Enter X variable values in L1          2.  TESTS
2. Enter Y variable values in L2          3. 2-SampTTest
3. 2nd – Y= (STAT PLOT)                   4. Enter the values for s, X, n and
4. Select ON                                 s, X, n
5. ,  SCATTERPLOT                       5. Choose the alternative
6. ENTER                                     hypothesis
7. X LIST: enter 2nd – L1                 6. Pooled: No
8. Y LIST: enter 2nd – L2                 7. CALCULATE
9. MARK: chose the point marker
10. ZOOM                               Confidence Interval about 2 means,
11.  to option 9                      Independence
12. ENTER                                 1. STAT
Use arrow keys to read X- and Y-axis         2.  TESTS
values                                       3. 2-SampTInt
4. Enter the values for s, X, n and
Correlation Coefficient r                       s, X, n
1. Enter the x values in L1, y values      5. Confidence Interval
in L2                                  6. Pooled: No
2. STAT                                    7. CALCULATE
3. TESTS
4. LinRegTTest
5. Enter list names for x and y
6. Specify alternative hypothesis
7. CALCULATE
8. Scroll down until you get to r
proportions
1. STAT
2.  TESTS
3. 2-PropZ-Test
4. Enter the values for x, n and x,
n
5. Choose the alternative
hypothesis
6. CALCULATE

proportions
1. STAT
2.  TESTS
3. 2-PropZ-Int
4. Enter the values for x, n and x,
n,
5. Enter the desired confidence
level
6. CALCULATE

Hypothesis Testing for Matched Pairs
1. STAT
2.  TESTS
3. T-TEST
4. 0: 0
5. x-bar:
6. sx:
7. n:
8. Choose the alternative
hypothesis
9. Calculate

Confidence Interval for matched pairs
1. STAT
2.  TESTS
3. TInterval
4. x:
5. sx:
6. n:
7. C-Level:
8. Calculate
x:
5. sx:
6. n:
7. C-Level:
8. Calculate

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