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
Hypothesis Testing about 2
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

Confidence Interval about 2
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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