Which statistical test is this?Independent Sample t-testO chi-squareO ANOVAO CorrelationO O O O Descriptive StatisticsDependent Variable: speedStd.DeviationsucroseamountMeanN8%3.00001.4412316%4.65001.40408832%4.48751.228758Total4.04581.5056424Tests of Between-Subjects EffectsDependent Variable: speedТуpe II Sumof Squares13.231Partial EtaSquaredSourcedfMean SquareSig.Corrected Model26.6153.571.046.254Intercept392.8501392.850212.031.000.910sucroseamount13.23126.6153.571.046.254Error38.909211.853Total444.99024Corrected Total52.14023a. R Squared = .254 (Adjusted R Squared = .183)

Name: Which statistical test is this?Independent Sample t-testO chi-squareO
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Description: Which statistical test is this?Independent Sample t-testO chi-squareO ANOVAO CorrelationO O O O Descriptive StatisticsDependent Variable: speedStd.DeviationsucroseamountMeanN8%3.00001.4412316%4.65001.40408832%4.48751.228758Total4.04581.5056424Tests

Math

Statistics

Descriptive Statistics Dependent Variable: speed Std. Deviation sucroseamount Mean N 8% 3.0000 1.44123 8 16% 4.6500 1.40408 8 32% 4.4875 1.22875 8 Total 4.0458 1.50564 24 Tests of Between-Subjects Effects Dependent Variable: speed Type Sum of Squares Partial Eta Source df Mean Square Sig. Squared Corrected Model 13.231 6.615 3.571 .046 254 Intercept 392.850 1 392.850 212.031 .000 .910 sucroseamount 13.231 2 6.615 3.571 .046 254 Error 38.909 21 1.853 Total 444.990 24 Corrected Total 52.140 23 a. R Squared = .254 (Adjusted R Squared = .183)

Descriptive Statistics Dependent Variable: speed Std. Deviation sucroseamount Mean N 8% 3.0000 1.44123 8 16% 4.6500 1.40408 8 32% 4.4875 1.22875 8 Total 4.0458 1.50564 24 Tests of Between-Subjects Effects Dependent Variable: speed Type Sum of Squares Partial Eta Source df Mean Square Sig. Squared Corrected Model 13.231 6.615 3.571 .046 254 Intercept 392.850 1 392.850 212.031 .000 .910 sucroseamount 13.231 2 6.615 3.571 .046 254 Error 38.909 21 1.853 Total 444.990 24 Corrected Total 52.140 23 a. R Squared = .254 (Adjusted R Squared = .183)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A regression analysis was performed and the summary output is shown below. Regression Statistics Multiple R 0.7802268560.780226856 R Square 0.6087539470.608753947 Adjusted R Square 0.5870180550.587018055 Standard Error 6.7217061336.721706133 Observations 2020 ANOVA dfdf SSSS MSMS F� Significance F� Regression 11 1265.3871265.387 1265.3871265.387 28.006928.0069 4.9549E-054.9549E-05 Residual 1818 813.264813.264 45.18145.181 Total 1919 2078.6512078.651 Step 1 of 2: How many independent variables are included in the regression model
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What percentage of the variability in the number of delivery days for a car is NOT explained by knowing the number of factory options? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Intercept Factory Options 22.31% 72.16% 88.14% 77.69% O 4.64% 0.8814 0.7769 0.7216 4.6400 10 Coefficients 29.73333 3.284848 Standard Error 2.991435587 0.482113498
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determine if the frequency of deficiencies of variable (significant medications) are statistically significantly different between for-profit and non-profit nursing homes, interpret the results for the chi-square?
2. CREATININE LEVEL PROBLEM Some statistics Analyzer A: mean = 105.75; median = 99.5 Analyzer B: mean = 97.5; median = 89.5 Let difference = Analyzer A - Analyzer B d=8.25 Md = 7 data: Analyzer A W = 0.88028 p-value = 0.1895 Wilk-Shapiro Test for Normality data: Analyzer B W = 0.91541 p-value = 0.3937 Ha: not equal to 0 t = 2.9652 p-value = 0.02095 data: difference W = 0.95788 p-value 0.7897 Student's t-test on Paired Samples: Analyzer A vs Analyzer B Ha: less than 0 t = 2.9652 p-value = 0.9895 Ha: greater than 0 t = 2.9652 p-value = 0.01048 Wilcoxon Matched-Pairs Signed Ranks Test: Analyzer A vs Analyzer B Ha: not equal to 0 Ha: less than 0 Ha: greater than 0 V = 27 V = 27 V = 27 p-value = 0.03461 p-value = 0.9888 p-value 0.01731 F-test for Equality of Variances F = 1.1311 p-value = 0.856 Student's t-test on Two Independent Pop'n Means: Analyzer A vs Analyzer B Ha: not equal to 0 Ha: less than 0. Ha: greater than 0 t = 9.2109 t = 9.2109 t = 9.2109 p-value 0.00003668 p-value=1 p-value…
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