how to calculate correlation on a 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)']
334471
While looking at the graph, push F1 (CALC), then F2 (x), then F1 (ax+b). The “a” value is the slope. The “b” value is the y-intercept. The r is the correlation coefficient.
318989
Greatest Common Factor and Greatest Common Divisor The TI-84 Plus CE will find the GCF/GCD of two numbers. Example 1: To find the GCF of 24 and 30, press math, arrow over to NUM, and select 9:gcd( —either by moving the cursor down to option 9 and pressing enter, or by simply pressing 9).
354991
['avg = sum(lst) / len(lst)', 'var = sum((x-avg)**2 for x in lst) / len(lst)', 'print(var)', '# 0.6666666666666666.']
1392503
['Step 1: Go to the z-interval on the calculator. Press [STAT]->Calc->7. ... ', 'Step 2: Highlight STATS. Since we have statistics for the sample already calculated, we will highlight STATS at the top. ... ', 'Step 3: Enter Data. ... ', 'Step 4: Calculate and interpret.']
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To find the correlation between two stocks, you'll start by finding the average price for each one. Choose a time period, then add up each stock's daily price for that time period and divide by the number of days in the period. That's the average price. Next, you'll calculate a daily deviation for each stock.
172692
['# import complex math module.', 'import cmath.', "a = float(input('Enter a: '))", "b = float(input('Enter b: '))", "c = float(input('Enter c: '))", '# calculate the discriminant.', 'd = (b**2) - (4*a*c)', '# find two solutions.']
574430
['=EDATE(C6,12*60)', '=EDATE(C6,12*60)', '=YEARFRAC(TODAY(),D6)', '=YEAR(EDATE(A1,12*60))']
252050
['Find the mean of the data set.', 'Find the distance from each data point to the mean, and square the result.', 'Find the sum of those values.', 'Divide the sum by the number of data points.', 'Take the square root of that answer.']
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Write down the “Asym. Sign” number for the Pearson Chi-square. If your “Asym. Sig.” number is less than 0.05, the relationship between the two variables in your data set is statistically significant.
494600
To find the correlation coefficient by hand, first put your data pairs into a table with one row labeled “X” and the other “Y.” Then calculate the mean of X by adding all the X values and dividing by the number of values. Calculate the mean for Y in the same way.
711595
['Download and install the TI Connect CE software.', 'Download and extract the game you want to load onto the calculator.', 'Send the game your calculator from inside TI Connect CE (details below)', 'Launch the game on your calculator.']
1152942
['x = randi(50, 1, 100); % Create Data.', 'SEM = std(x)/sqrt(length(x)); % Standard Error.', 'ts = tinv([0.025 0.975],length(x)-1); % T-Score.', 'CI = mean(x) + ts*SEM; % Confidence Intervals.']
831967
The formula for a combination is: nCr = (n!)/(r!( to access the Math PROB menu or press [ALPHA][WINDOW] to access the shortcut menu. 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.
537490
pearsonr() to calculate the Pearson correlation between two lists. Call scipy. stats. pearsonr(x, y) with two lists of equal length as x and y to calculate their Pearson correlation.
1226959
['Mean = Sum_of_each_individual/Total_number_of_items.', 'Variance = ((Original_Value – Mean)² + (Original_Value – Mean)² +.... )/(Total_number_of_items - 1)', 'Standard_Deviation = Square_root (Variance)']
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['On the Data tab, in the Analysis group, click Data Analysis. ... ', 'Select Correlation and click OK.', 'For example, select the range A1:C6 as the Input Range.']