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.
Data on 220 reported crimes is collected from district X in 2016. Suppose CS denotes the total cost to the state of offering crime protection services to this district (in thousand dollars), LEOP denotes the number of law enforcement officers on patrol, DTP denotes the damage to public and private property (in thousand dollars), CCTV denotes the number of CCTV cameras installed in the district, and Prison denotes the number of prison inmates The following table shows the results of a few regressions of the total cost to the state. Dependent variable: total cost to the state (in thousand dollars) Regressor (1) (2) (3) (4) 12.32 17.99 14.55 18.1 LEOP (0.52) (0.84) (2.25) (0.82) 0.73 0.59 0.75 DTP (0 12) (0.04) 0.73 (0.06) CCTV (0.13) 2.11 2.12 (0.39) 288.5 (4 14) Prison (0.5) 182.5 191.6 219.95 Intercept (11.52) (6.68) (5.26) 0.64 0.75 0.12 0.75 R 220 220 220 220 Heteroskedasticity-robust standard errors are given in parentheses under coefficients. Which of the following statements…
Whats the critical value?
Given the “data” determined by y = x^3 + (x-1)^2 with x = 0.1, 1.2, 2.3, and 2.9, calculate SSTO, SSR, and R^2. Then recalculate these using x = 0.3, 1, 2.45, and 2.8. Does where you collect your data (i.e., which values of x) appear to impact your interpretation of how good the linear model fits?.
Can someone please help me with these two questions.

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