1 / 12

Using calculator TI-83/84

Using calculator TI-83/84. 1. Enter values into L1 list: press “stat”. 2. Calculate all statistics: press “stat”. n !. P(x) = • p x • q n-x. ( n – x )! x !. The probability of x successes among n trials for any one particular order. Number of

jacquiline
Download Presentation

Using calculator TI-83/84

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using calculator TI-83/84 1. Enter values into L1 list: press “stat” 2. Calculate all statistics: press “stat”

  2. n! P(x) = •px•qn-x (n –x )!x! The probability of x successes among n trials for any one particular order Number of outcomes with exactly x successes among n trials Binomial Probability Formula

  3. Using TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to binomialpdf( and press ENTER • Type in three values: n, p, x (separated by commas) and close the parenthesis • You see a line like binomialpdf(10,.3,6) • Press ENTER and read the probability of the value x (successes)in n trials

  4. Alternative use of TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to binomialcdf( and press ENTER • Type in three values: n, p, x (separated by commas) and close the parenthesis • You see a line like binomialcdf(10,.3,6) • Press ENTER and read the combined probability of all values from 0 to x (i.e., probability that there are at most x successes)

  5. µ = [x•P(x)]Mean 2 =  [(x –µ)2 • P(x)] Variance 2= [x2 • P(x)] – µ2Variance (shortcut)  = [x 2 • P(x)] –µ2Standard Deviation Mean, Variance and Standard Deviation of a Probability Distribution

  6. Using TI-83/84 calculator • Press the STAT button and choose EDIT • Enter the x-values into the list L1 and the P(x) values into the list L2 • Press the STAT button and choose CALC • Choose 1-Var Stats and press ENTER • Type in L1 then , (comma) then L2 on that line, you will see 1-Var Stats L1,L2 • Press ENTER • You will see x-bar=…, it is actually m (mean) and sx=…, it is actually s(st. deviation)

  7. Methods for Finding Normal Distribution Areas

  8. Normal Distribution by TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to normalcdf( and press ENTER • Type in two values: Lower, Upper (separated by commas) and close the parenthesis • You see a line like normalcdf(-2.00,1.50) • Press ENTER and read the probability.

  9. Normal Distribution by TI-83/84 (continued) If you do not have an upper value, type 999. Example: for P(z>1.2) enter normalcdf(1.2,999) If you do not have a lower value, type -999. Example: for P(z<0.6) enter normalcdf(-999,0.6)

  10. Inverse Normal by TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to invNorm( and press ENTER • Type in the desired area and close the parenthesis • You see a line like invNorm(0.95) • Press ENTER and read the z-score. • Round off to three decimal places.

  11. Normal Distribution by TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to normalcdf( and press ENTER • Type in four values: Lower, Upper, Mean, St.Deviation(separated by commas) and close the parenthesis • You see a line like normalcdf(-999,174,172,29) • Press ENTER and read the probability.

  12. Inverse Normal by TI-83/84 • Press 2nd VARS to get the DISTR menu • Scroll down to invNnorm( and press ENTER • Type in the desired area, mean, st.deviation and close the parenthesis • You see a line like invNorm(0.995,172,29) • Press ENTER and read the x-score.

More Related