2Suppose the critical F-value is 1.25. What would be the the decision rule withrespect to the null hypothesis?If the observed F is >= 1.25, we will reject the null hypothesisIf the observed F is >= 1.25, we will accept the null hypothesisIf the observed F is <= -1.25 or the observed F is >=1.25, we will reject the nullhypothesisIf the observed F is < 1.25, we will reject the null hypothesis

Given critical F-value is 1.25.

Answered: Suppose the critical F-value is 1.25.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

How can I solve this ?
SAT scores in one state is normally distributed with a mean of 1526 and a standard deviation of 112. Suppose we randomly pick 46 SAT scores from that state.a) Find the probability that one of the scores in the sample is less than 1529.P(X<1529)P(X<1529) = b) Find the probability that the average of the scores for the sample of 46 scores is less than 1529.P(¯¯¯X<1529)P(X¯<1529) =
Suppose that the average height of men in the United States is approximately normallydistributed with a mean of approximately 70 inches and a standard deviation ofapproximately 4 inches. (a) If you take a sample of 4 men, find Pr {68 ≤ Y̅ ≤ 73}, the probability that the sample mean Y̅ will be between 68 and 73 inches. (b) If you take a sample of 16 men, find Pr {68 ≤ Y̅ ≤ 73}, the probability that the sample mean Y̅ will be between 68 and 73 inches. (c) If you take a sample of n men where n > 16, which one of the following is true? (circle one of the three statements.)Pr{68 ≤ Y̅ ≤ 73} > the probability that you found in (b)Pr{68 ≤ Y̅ ≤ 73} = the probability that you found in (b)Pr{68 ≤ Y̅ ≤ 73} < the probability that you found in (b)
the last question without the green check
Is it possible to have more than one unbiased estimator for an unknown parameter? Or is not possible? How so?
Formulate the indicated conclusion in nontechnical terms. Be sure to address the original claim. The manufacturer of a refrigerator system for beer kegs produces refrigerators that are supposed to maintain a true mean temperature, . of 48"F, ideal for a certain type of German piluner The owner of the hrewery does not agree wth the refrigerator manufacturer, and claims he can prove that the true mean temperature is incorrect. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is to reject the null hypothesis, state the conclusaon in nontechnical terms. O There is sufficient evidence to support the claim that the mean temperature is different from 4S'F. There is sufficient evidence to support the claim that the mean temperature is equal to 45F. O There is not sufficient evidence to support the claim that the mean temperature is equal to 45'F. O There is not sufficient evidence to support the claim that the mean temperature is different from 48°F.
A previous study showed to determine whether a sales tax on soda will reduce consumption of soda in the US below the current per-capita level of about 50 gallons of soda per year. Hypotheses Test is Ho: m(mue) =50 vs. Ha: m<50 where m (mue) represents the average annual consumption of soda in communities where the sales tax is implemented. (b) Now supposed sample results give a p-value of 0.41. Interpret this p-value in terms of random chance and in the context of taxes and soda consumption.
For 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yield *= 6.4. y = 6.0, r= - 0.279, P-value = 0.050, and g = 8.27 - 0.357x. Find the best predicted value of y (attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x=7. Use a 0.10 significance level. The best predicted value of y when x = 7 is (Round to one decimal place as needed.)
Use the information given in the table below to find a 95% Prediction Interval for y when x = 10. n = 20 x_bar = 15 %3D beta0_hat = 53 SSXX = 62 beta1_hat = - 4.5 S = 9 (- 14.79, 30.79) (-0.57, 16.57) (-10.25, 26.25) O (- 4.73, 20.73)
Q2. There is a claim that the average mileage given by the particular model car is 22 kilometer per liter. A researcher thought that it is less than 22 kilometer per liter. For this he selected a random sample of 16 cars of the same model and found that the sample gave mean mileage 20.5 kilometer per liter with standard deviation 2 kilometer per liter. If you are that researcher, give your conclusion about the claim at a = 0.05?
Cholesterol is a fatty substance that is an important part of the outer lining (membrane) of cells in the body of animals. Suppose that the mean and standard deviation for a population of individuals are 180 mg/dl and 20 mg/dl, respectively. Samples are obtained from 25 individuals, and these are independent. (a) What is the probability that the average of the 25 measurements exceeds 185 mg/dl? (b) Determine symmetric limits around 180 such that the probability that the sample average is within the limits equals 0.95.
Suppose a population is known to be normally distributed with a mean, μ, equal to 116 and a standard deviation, σ, equal to 14. Approximately what percent of the population would be between 130 and 144? does anyone know how to work this using The empirical rule (68-95-99) I know how to do it the other way but not this way, and the empirical rule is the one needed for final

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS