The octane number, Y, of refined petroleum is related to the temperature, x, of therefining process. An experiment with sample size n = 11 gave a fitted least-squaresline ofwith V(1) (0.0193)².=ŷ = 4.265+0.190x,a. Give the test statistic you should use to test Ho: B₁ = 1,0 vs. Ha: ẞ₁ ẞ1,0 forsome fixed value ẞ1,0. Briefly explain your choice. [Hint: with the informationprovided, determine whether you should use a Z or at statistic.]b. Use your result from part (a) to test the hypothesis that the slope coefficient,ẞ1, is significantly different from 0 at significance level α = 0.05.

The linear regression equation is given as with Want to test The sample size is given as n=11to…

Answered: The octane number, Y, of refined…

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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Similar questions

A z-score of –1.6 has a corresponding Stanine score of:
A random sample of size n = 4 taken from a normal population with σ2 = 9 is used to test H0 : µ = µ0against H1 : µ = µ1 where µ1 > µ0. e null hypothesis will be rejected if X > µ ¯0 + 2.5. Find the levelof significance of the critical region
A researcher estimates that the average height of the buildings of 30 or more stories in a large city is at most 700 feet. A random sample of 10 buildings is selected, and the heights in feet are shown. At α = 0.025, is there enough evidence to reject the claim? 485 511 841 725 615 520 535 635 616 582 What is the critical value of the t?
The test statistic of Z equals=−2.06 is obtained when testing the claim that p<0.58 Using a significance level of α=0.01 find the critical value(s).
a marketing firm asked a random set of married and single men how much they were willing to spend on a vacation. is there sufficient evidence at α = 0.05 to conclude that is there a diffference in the 2 amounts? married men single men sample size 70 70 sample mean $880 $825 population varience 5700 7900 A). yes, because the test value 3.95 is outside the critical region -1.96 < z< 1.96. B). No, because the test value 1.39 is outside the critical region -1.96 < z < 1.96 C). yes, Because the test value 1.39 is inside the critical region -1.96 <z< 1.96 D). No, because the test value 0.28 is inside the critical region -1.96 <z<1.96.
For a one-sample t-test, what t values define the critical region for a regular two-tailed test using a sample of n=25 scores and ans Alpha level of 0.5? A. ±2.064B. +1.711C. ±1.708D. +2.060
You are using a z-test to test H0: u=413 vs Ha: u<413 at the a=.1 level. What would the rejection region be for this test?
A nationwide study of undergraduate students reported that the mean number of drinks consumed per week during the spring semester is 7.96. The mean number of drinks consumed per week at USC is 7.64 (s.d.=2.55, N=412 Health services is concerned that USC students are consuming significantly more alcohol per week than the national average. Using an alpha level of .05, Is there sufficient evidence to be concerned? Be sure to select the correct critical value for the alternative hypothesis, and then use this evidence to make your conclusion
find the t value that form the boundaries of the critical region for a two-tailed test with alpha of .05 for n=15
To achieve statistical significance for a one-sample t-test, is which of the following? the t-obtained must be less than the t-critical. the t-obtained must be larger than the t-critical (farther into the region of rejection). the t-obtained must differ from the t-critical by .05. the t-obtained must equal the t-critical.
The test statistic of z = -2.27 is obtained when testing the claim that p < 0.32 Part A: using a significance level a= 0.10, find the critical value(s)
Records for the last 15 years have shown that the average rainfall in a certain region of the country, for the month of March, to be 1.20 inches, with s = 0.45 inches. A second region had an average rainfall of 1.35 inches, with s = 0.54. estimate the difference of the true average rainfalls in those two regions as a 95% C.I. with the assumption of normal populations and unequal variances.

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