CharacteristicsTreatment Control P-valueMean SBP 115.3889±113.0588±6.805 Mean difference (SBP) -0.66±3.02922.117 ±2.4710.005347Mean DBP 74.556± 7.36672.4705±6.374 Mean difference (DBP) -1.888±2.94831.411765 ±3.33430.002233Mean Pulse rate96.222±13.088.94±15.43725 Mean difference-9.444±0.5294118±0.3529523write an analysis for the data above and what does the p value mean?

The p-value is nothing but the how likely it is that your data could have occurred under the null…

Answered: Characteristics Treatment Control…

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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Hundreds of thousands of people infected Number of countries [1.0;3.0) 5 [3.0;5.0) 8 [5.0;7.0) 17 [7.0;9.0) 6 [9.0;11.0) 3 [11.0;13.0) 1 Total 40 Please Calculate the coefficient of variation for the above data. Please Calculate the mid-50% range the above data
Analysis of Variance Source DF SS MS F P Regression 1 3390.0 3390.0 19.4 0.000 Residual Error 174 30397.8 174.7 Total 175 33787.8 Use the information in the table to give the sample size and to calculate R^2.Enter the exact answer for the sample size, and round R^2 to one decimal place.Enter your answer; n Enter your answer; R^2 %
x1= 3.8571 s1= 7.3417 x2= 5.625 s2= 2.8754 (i)Level of significance: .05 H0: ?1 = ?2; H1: ?1 < ?2 (ii) The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations. value of the sample test statistic: -0.598 (iii) P-value > 0.250 (iv) Based on your answers in parts (i)−(iii), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ?? At the ? = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the ? = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (v) Interpret your conclusion in the context of the application. Reject the null…
determine if the frequency of deficiencies of variable (medication errors) are statistically significantly different between for-profit and non-profit nursing homes, interpret the results for the chi-square?
DescriptiveStatistics Mean 4.857802643 Standard Error 0.872236698 Median 3.2 Mode 1 Standard Deviation 4.777437152 Sample Variance 22.82390574 Kurtosis 2.10829171 Skewness 1.567625002 Range 18.45 Minimum 0.25 Maximum 18.7 Sum 145.7340793 Count 30 How to analize this date
59
17. How many observations are there?
Determine the critical values for these tests of a population standard deviation. Critical Values for the Chi-Square Distribution (a) A right-tailed test with 18 degrees of freedom at the a = 0.05 level of significance (b) A left-tailed test for a sample of size n = 30 at the a = 0.1 level of significance (c) A two-tailed test for a sample of size n =24 at the a = 0.01 level of significance Chi-Square (x²) Distribution Area to the Right of Critical Value Click the icon to view a table a critical values for the Chi-Square Distribution. Degrees of Freedom (a) The critical value for this right-tailed test is 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 (Round to three decimal places as needed.) 1 2 2.706 4.605 6.251 7.779 9.236 3.841 5.024 7.378 6.635 9.210 11.345 13.277 7.879 10.597 0.001 0.004 0.103 0.352 0.711 0.016 0.211 0.584 1.064 0.010 0.020 0.051 5.991 3 4 0.072 0.207 0.115 0.297 0.554 0.216 0.484 7.815 9.488 11.070 9.348 11.143 12.838 14.860 5 0.412 0.831 1.145 1.610…
\multicolumn2|c|Regression Statistics Multiple R R Square Adjusted R Square 0.6365 0.4051 0.289 Standard Error 5.65 Observations 50 ANOVA df SS MS F Significance F Regression 8 890 111.25 3.49 0.00369246 Residual 41 1307 31.88 Total 49 2197 Determine each of the following from the output: R2| = Se = MSR =
ANOVA df SS MS F Significance F Regression 1 7195512474 7195512474 6.504373807 0.012309437 Residual 98 1.08413E+11 1106257526 Total 99 1.15609E+11 Please explain this...
Impact of the Population Standard Deviation on SE Compute the standard error for sample means from populations all with mean μ = 80 and with standard deviations o and o = 75 using a sample size of n = 90. Round your answers to two decimal places, if necessary. Standard Deviation o = 11: o = 40: o = 75: HI Standard Error = 11, o = 40,
Dependent Variable: MU Sample: 134 Variable b BETA t-Statistic P-value Constant 7.292206 6.666348 0.0000 COLLEGE -0.115133 -0.23 -4.437697 0.0000 GROWTH 0.018898 0.01 1.718810 0.0880 SENIORS -0.022380 -0.24 -0.731017 0.4661 WAGE -0.0000294 -0.001 -0.874836 0.3833 R-squared 0.192456 Mean dependent var 3.852239 Adjusted R-squared 0.167416 S.D. dependent var 1.928368 Where MU = metropolitan area unemployment rate, COLLEGE = percentage of the metropolitan area population with a college degree, GROWTH = growth rate of the metropolitan area population, SENIORS = percentage of the metropolitan area population that is elderly, and WAGE = average metropolitan area wage How much variation in MU is explained by the independent variables? Which IVs are statistically significant predictors of MU at the 95% C.L.? Tell me which direction you expect the sign of…

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Characteristics	Treatment	Control	P-value
Mean SBP	115.3889±	113.0588±6.805
Mean difference (SBP)	-0.66±3.0292	2.117 ±2.471	0.005347
Mean DBP	74.556± 7.366	72.4705±6.374
Mean difference (DBP)	-1.888±2.9483	1.411765 ±3.3343	0.002233
Mean Pulse rate	96.222±13.0	88.94±15.43725
Mean difference	-9.444±	0.5294118±	0.3529523