Input the data into a list, pressing ENTER after each value. Press STAT and navigate to the EDIT menu. Note: If you are finding a probability from negative infinity or to positive infinity, you can enter a large value such as 10E6 using EE ( 2 nd and then a comma). Input the lower F value, the upper F value, the numerator degrees of freedom, and the denominator degrees of freedomĬhoose Paste and press ENTER. Enter L1 ( 2nd, 1) for List andĬhoose DISTR by pressing 2 nd and then VARS. On some calculators, 1-Var Stats may bring up a form with labels List and FreqList. Press L1 ( 2nd, 1), then insert a comma and press L2 ( 2nd, 2). Input the frequency values in the column labeled L2 Input the weight values in the column labeled L1, pressing ENTER after each value Note the standard deviation is returned in the output after the label σx and the variance can be found by squaring this value. Enter L1 ( 2nd, 1) for List and L2 ( 2nd, 2) for FreqList. Input the probabilities in the column labeled L2 Input the x-values in the column labeled L1, pressing ENTER after each value Input the frequency values in the column labeled L2.Įnter L1 ( 2nd, 1) for List and L2 ( 2nd, 2) for FreqList. Input the midpoints of the intervals in the column labeled L1, pressing ENTER after each value. The values on the screen will be listed, in order, as follows. Press STAT and navigate to the CALC menu. The frequency of the data ( Freq) is the default value with is 1.Įnter the number of objects taken at a time.ĭivide 1 by the resulting number of combinations to find the probability of any single combination occurring.Įnter the value for which you are calculating the factorial.Įnter the number of objects you are taking at a time. Highlight 元 and enter the formula L2 ( 2nd, 2) − L1 ( 2nd, 1) and then ENTER. Input the data for Sample 2 (before data) in the column labeled L2, pressing ENTER after each value. Input the data for Sample 1 (before data) in the column labeled L1, pressing ENTER after each value. See t-interval, Using Summary Statistics Using Data Two Sample t-Interval (Dependent Samples, Paired Difference) Using Summary Statistics Use 2nd and the number keys to enter the names of the lists. Input the data for Sample 2 in the column labeled L2, pressing ENTER after each value. Input the data for Sample 1 in the column labeled L1, pressing ENTER after each value. Two Sample z-Interval Using Summary Statistics Press STAT and navigate to the TESTS menu Input the data in the column labeled L1, pressing ENTER after each valueĬhoose QUIT by pressing 2nd and then MODE. Press STAT and navigate to the TESTS menu.Ĭhoose Data as the input and press ENTER. Press QUIT by pressing 2nd and then MODE. Input the data in the column labeled L1, pressing ENTER after each value. Observe the confidence interval displayed on the screen. Input the corresponding values for the variables. Press ENTER.Įnter L 1 for Observed (2 nd, 1), and L 2 for Expected (2 nd, 2).Įnter the appropriate degrees of freedom ( df). Press STAT, select TESTS, and χ 2GOF-Test. Input the observed data in L1 and the expected values in L2. Press STAT, select TESTS, and scroll down to χ 2-Test. Input the actual data into the matrix with the observed data in the first column of the matrix and the expected values in the second column. Select MATRIX by pressing 2 nd and then x -1.Įnter the matrix dimensions: number of rows by number of columns. Select DISTR by pressing 2 nd and then VARS.Įnter (χ 2, upper bound, degrees of freedom). Used for finding the p-value corresponding to a χ 2 test statistic. Press ENTER to display the cumulative probability.Ĭhi-Square Distribution Left Tailed Probability (cdf) Input the number of trials, the probability of success, and the number of successes. Input the values 0 to n in L1 to complete the binomial distribution table. To store the probabilities in L2, press STO→ and then ( 2nd, 2).Ĭhoose EDIT and then 1: Edit.Press ENTER. Input the number of trials and the probability of success. Press ENTER and then press ENTER to display the probability. Binomial Distribution Binomial Probability (pdf)
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