how to calculate the correlation coefficient on ti 84?
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['To view the Correlation Coefficient, turn on "DiaGnosticOn" [2nd] "Catalog" (above the \'0\'). Scroll to DiaGnosticOn. [Enter] [Enter] again. ... ', 'Now you will be able to see the \'r\' and \'r^2\' values. Note: Go to [STAT] "CALC" "8:" [ENTER] to view. Prev: TI-84: Least Squares Regression Line (LSRL)']
842249
Compare r to the appropriate critical value in the table. If r is not between the positive and negative critical values, then the correlation coefficient is significant. If r is significant, then you may want to use the line for prediction. Suppose you computed r=0.801 using n=10 data points.
963714
['Calculate the mean of your data set.', 'Subtract that mean from each of the scores in your data set to determine the individual deviation of each score from the mean.', 'Square each of those individual deviations.', 'Sum all of the squared deviations.', 'Divide that sum by one less than the sample size (N–1)']
841608
['Standard Error = [(Geometric Stdev-1)/Sqrt(N)],', 'Margin of Error = [Standard Error * 1.96], and.', 'CI = [Geometric Mean +/- Margin of Error]']
83224
Numpy implements a corrcoef() function that returns a matrix of correlations of x with x, x with y, y with x and y with y. We're interested in the values of correlation of x with y (so position (1, 0) or (0, 1)).
621057
['Press 2ND and then VARS to display the DISTR menu. Select 3 and press ENTER to bring up the invNorm wizard screen.', 'Enter the desired percentile as a decimal next to the word area. ... ', 'Press Enter again, and the TI-84 Plus will calculate the z-score associated with the chosen percentile.']
434935
Start by simplifying the bottom of the equation by multiplying the two standard deviations. Then, divide the covariance on the top by your result. The solution is your correlation coefficient. The coefficient is represented as a decimal between -1 and 1, rather than as a percentage.
237975
mx and my are the means of x and y variables. the p-value (significance level) of the correlation can be determined : by using the correlation coefficient table for the degrees of freedom : df=n−2. or by calculating the t value : t=r√1−r2√n−2.
1195589
In fact, the only difference is that the TI-84 has a mini-USB port while the TI-83 does not. Both calculators use the same type of central processing unit (CPU) (Zilog Z80), and the displays are the same (96 x 64 pixels). ... Both calculators have an I/O port but the TI-84 Plus also includes a mini-USB port.
889330
['the standard deviation is approximately equal to the range / 4.', 'the standard deviation is approximately equal to 3/4 * IQR.']
299738
['α + β = - ba and αβ = ca.', '⇒ x2 + bax + ca = 0 (Since, a ≠ 0)', '⇒ x2 - (α + β)x + αβ = 0, [Since, α + β = -ba and αβ = ca]']
190650
['Step 1: Calculate the mean of the data—this is xˉx, with, \\bar, on top in the formula.', 'Step 2: Subtract the mean from each data point. ... ', 'Step 3: Square each deviation to make it positive.', 'Step 4: Add the squared deviations together.', 'Step 5: Divide the sum by one less than the number of data points in the sample.']
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['=EDATE(C6,12*60)', '=EDATE(C6,12*60)', '=YEARFRAC(TODAY(),D6)', '=YEAR(EDATE(A1,12*60))']
890746
['positive coterminal angle: β = α + 360 * 10 = 1400° + 3600° = 5000°', 'negative coterminal angle: β = α - 360 * 10 = 1400° - 3600° = -2200°']
1108915
The formula for a combination is: nCr = (n!)/(r!( to access the probability menu where you will find the permutations and combinations commands. Using the TI-84 Plus, you must enter n, insert the command, and then enter r. See the PROB menu in the first screen. See the shortcut menu in the second screen.
1223624
Where is NormalCDF on the Calculator? On both the TI 84 and TI 83, NormCDF is in the same place: Press the 2nd key.
811593
Find the product of the z-scores by multiplying each of the pairs of z-scores (zxzy). Then sum the products (S zxzy). Finally, divide the sum of the products by the number of scores (n) to find the correlation coefficient, r. Recall that z scores have a mean of zero.