EITHER state the critical values and use the critical values/z-obtained comparison OR use the p-value/alpha comparison to make a decision 3. Test a hypothesis that single/never married Americans spend more time watching TVthan married Americans (TVHOURS, MARITAL). Use a=0.05. (Hint: look up thevalues for "single/never married" and “married" first).Họ: 1µ = 2µ%3DH1: 1µ > 2µGroup StatisticsStd.Std. ErrorMarital statusMeanDeviationMean5402.862.872.124Hours per daywatching TVNEVERMARRIEDMARRIED7822.652.142.077Independent Samples TestLevene's Test for Equality ofVariancest-test for Equality of Means95% Confidence Interval of theDifferenceSignificanceOne-Sided p Two-Sided pStd. ErrorDifferenceMeanLowerUpperSig.dfDifferenceF.216.138-.05448718.131<.0011.5691320.058.117Hours per day watching TV Equal variances assumed.502.068.137.216.145-.0691.489937.125Equal variances notassumed

The output of the two sample t test is given and objective is to make a decision of the test.

Answered: 3. Test a hypothesis that single/never…

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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Smaller of U1 and U2- A small study (n-10) is designed to assess if there is an association between smoking in pregnancy and low birth weight. Low birth weight babies are those born less than 5.5 pounds. The following data represent the birth weights, in pounds, of babies born to mothers who reported smoking in pregnancy and those who did not. 1. Based on comparing the Smaller of Ui and U2 to the Critical value which of the following is (are) true? Mother smoked in pregnancy Mother did not smoke during pregnancy 5.1 A. There is significant evidence at alpha -0.05 to show that the populations of birth 5.0 4.2 4.8 3.3 3.9 5.3 5.4 weights in mothers who smoked in pregnancy and those who did not are not equal. 4.9 4.6 Is there a significant difference in birth weights between mother who smoked during pregnancy and those who did not? Apply the Mann Whitney U Test at a 5% level of significance B. There is not significant evidence at alpha-0.05 to show that the populations of birth weights in…
A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
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The output table below represents the results of the estimation of household expenditures (Y) and income (X) in thousand dollars. Considering the results, answer the following questions. Dependent Variable: Y Method: Least Squares Date: 01/07/16 Time: 11:22 Sample: 2000 2015 Included observations: 16 Variable Coefficient Std. Error t-Statistic Prob. C -0.241942 2.452237 -0.098662 0.9228 X 0.363176 0.013890 26.14674 0.0000 R-squared 0.979933 Mean dependent var 55.43750 Adjusted R-squared 0.978499 S.D. dependent var 33.17221 S.E. of regression 4.864079 Akaike info criterion 6.118100 Sum squared resid 331.2297 Schwarz criterion 6.214674 Log likelihood -46.94480 Hannan-Quinn criter. 6.123046 F-statistic 683.6522 Durbin-Watson stat 0.632113…
Whats the critical value?
A paper gives data on x = change in Body Mass Index (BMI, in kilograms/meter2) and y = change in a measure of depression for patients suffering from depression who participated in a pulmonary rehabilitation program. The table below contains a subset of the data given in the paper and are approximate values read from a scatterplot in the paper. BMI Change (kg/m²) Depression Score Change S = The accompanying computer output is from Minitab. Depression score change 15- 10- -0.5 S Fitted Line Plot Depression score change = 6.577 +5.440 BMI change 20- 5.30586 Coefficients T 0.0 0.5 -0.5 R-sq 25.96% - 1 Term Coef Constant 6.577 BMI change 5.440 % 0.5 BMI change 1.0 SE Coef 2.28 2.90 9 0 0.1 0.7 0.8 1 1.5 4 T-Value 2.88 1.87 Interpret this estimate. s is the typical amount by which the ---Select--- line. 4 5 Regression Equation Depression score change = 6.577 +5.440 BMI change P-Value 0.0164 0.0906 S 5.30586 25.96% R-Sq R-Sq (adj) 18.56% 8 (b) Give a point estimate of o. (Round your answer to…
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Dont use excel. thanks
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