MeanVarianceObservationsHypothesized Mean Differencedft StatP(T<=t) one-tailt Critical one-tailP(T<=t) two-tailt Critical two-tailOb. Decision rule: reject Ho if t > 2.898Store A30.86889.721Oc. Decision rule: reject Ho if t < -2.89810017Oa.a. Decision rule: reject Ho if t > 2.567 or t < -2.5670.7160.24182.5670.48362.898Od. Decision rule: reject Ho if t > 2.567Oe. Decision rule: reject Ho if t > 2.898 or t < -2,898Store B28.23254.93412

A hypothesis test is a statistical method used to make inferences or conclusions about a population…

Answered: Mean Variance Observations Hypothesized…

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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What must n (the number of observation pairs) have been in this data set? Coefficients: (Intercept) Length Estimate -266.1336 6.6892 Std. Error 21.6167 0.3456 t value -12.31 19.35 Pr(>|t|) 3.34e-10 1.70e-13 Residual standard error: 10.77 on 18 degrees of freedom Multiple R-squared: 0.9378, Adjusted R-squared: 0.9617 F-statistic: 374.5 on 1 and 18 DF, p-value: 1.70e-13
Pls help and use excel function for p value computation
A study of the amount of time it takes a hiker to hike to the bottom of the Grand Canyon and back to the top shows that the mean is 10 hours and the standard deviation is 2 hours. If 9 hikers are randomly selected, find the probability that their mean hiking time is less than 9 hours. P(x < 9 hours) = . (z < Shade the appropriate region be sure to round you previous answer to one decimal place in order to graph: Shade: Left of a value Click and drag the arrows to adjust the values. 2 4. -1.5
Tablet computers In October 2011, cnet.com listed thebattery life (in hours) and luminous intensity (i.e., screenbrightness, in cd>m2 ) for a sample of tablet computers.We want to know if brighter screens drain the batterymore quickly.Dependent variable is Video battery life (in hours)R-squared = 27.9%s = 1.913 with 23 - 2 = 21 degrees of freedomVariable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 2.8467073 1.6628386 1.7119566 0.10163Brightness 0.014080549 0.0049373503 2.851843 0.00955a) How many tablet computers were tested?b) Are the conditions for inference satisfied? Explain.c) Is there evidence of an association between maximumbrightness of the screen and battery life? Test anappropriate hypothesis and state your conclusion.d) Is the association strong? Explain.e) What is the equation of the regression line?f) Create a 90% confidence interval for the slope of thetrue line.g) Interpret your interval in this context.
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n a sample of 13 randomly selected high school seniors, the mean score on a standardized test was 1191 and the standard deviation was 167.0 Further research suggests that the population mean score on this test for high school seniors is 1020 Does the t-value for the original sample fall between minus−t 0.99t0.99 and t 0.99t0.99? Assume that the population of test scores for high school seniors is normally distributed. Question content area bottom Part 1 The t-value of tequals=enter your response here ▼ does does not fall between minus−t 0.99t0.99 and t 0.99t0.99 because t 0.99t0.99equals=enter your response here.
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A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Before n = 33.1 16.81 30 0 29 -2.282 0.051 -1.699 0.025 -2.045 95% After 31.7 12.25 30 p= Ex: 1.234: -3 -2 t = Ex: 1.234 Ex: 9 Degrees of freedom: df = Point estimate for before training: before Ex: 1.234 Point estimate for after training: after -1 0 1 2 3

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