Problem 1. In order for a certain law to pass, it must be approved by more than 's of thepopulation.You wish to do a Hypothesis Test to determine if this law will pass. You randomly sample200 people and ask if they support the law or not. Let Y be the number of sampled peoplewho support the candidate. Let p be the unknown proportion of the population that sup-ports the law.(b) Use R to simulate 200 people with p =.70. What is the p-value your simulation?(c) Does your simulation suggest that you should reject Ho at an a = .05 level?(d) Use your simulation to give the a = .05 lower confidence bound for p.

From the given information, The claim of the problem is the population proportion is more than 2/3.…

Answered: Problem 1. In order for a certain law…

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

1. For each row of the table you are given a p-value and a level of significance (a). Determine which hypothesis is supported, if the data are significant and which type error could be made. If a given p- value is not a valid p-value (because it is greater than 1), put an x in each box in therow. p-value Hypothesis Họ or H1 Significant or Not Significant Error Type I or Type II 0.043 0.05 0.32 0.05 0.043 0.01 0.0035 0.01 0.043 0.10 0.15 0.10 5.6 x 106 0.05 7.3256 0.01 2. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Support paying off student dept, H1: p 8 ft, p-value-5.6 x 10°, a=0.05, n=56. 4. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Blood pressure for men and women, H1: Hw # HM ft, p-value3D0.0035, a=0.01, n=2403.
Please answer this question asap I will rate you for sure. The fair dice are rolled at once. Let x denotes the positive difference in the number that appears on the top faces of the two dice. Find the P(x)=(3).
Explain what the owner should do and how you should proceed given the result of recent hypothesis tests.
The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 19 are defective. State the null and alternative hypotheses for this test. Group of answer choices Ho: p = 0.12 vs Ha: p > 0.12 Ho: p = 0.19 vs Ha: p ≠ 0.12 Ho: p = 0.12 vs Ha: p < 0.19 Ho: p = 0.12 vs Ha: p = 0.19
Show all your work Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Researchers are studying two populations of sea turtles, In population D. 30 percent of the turties have a shell length greater than 2 feet. In population E. 20 percent of the turtles have a shell length greater than 2 feet. Froma random sample of 40 turtes selected from D.15 had a shell length greater than 2 feet. From a random sample of 60 turtles selected fromE. 11 had a shell length greater than 2 feet. Let pry represent the sample proportion for D, and let p represent the sample proportion for E (a)What is the value of the difference pryPr?Show your work. (b) What are the mean and standard deviation of the sampling distribution of the difference in sample proportions p P:? Show your work and label each value. (c) Can it be assumed that the sampling distribution of the difference of the…
It's just one question with sub-parts. Since you are only allowed to do 3 questions please do D, E, F the last 3 only. Thank you
The average age of managers in a particular industry is over 35 years old, and we wishe to prove this. The null hypothesis to conduct a statistical test on this theory would be: the population mean is ˃ 35, or the population mean is ≤ 35 or the population mean = 35 or the population mean is ≥ 35.
28)
is described below. NOTE: If the method is experimental, indicate if it is a true experiment or quasi experiment. 1. I get 30 people and use random assignment to divide the people into two groups. One group reads an article about the statistics of injuries and deaths caused by people using smart phones while driving, the other group watches a short video about a person who killed someone while using their smart phone. Both groups are then monitored to see if either of these made a difference in how often these people use their smart phones use while behind the wheel. What method would that study be? 2. What method asks a series of questions that are all planned in advance?
2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type l and type II error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. B. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. Atype I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type II error occurs when the actual proportion is about 18% o less, but the null hypothesis is rejected. D. AtypeIerror occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the actual…
I understand how the level of signficance = 1.96 and I understand: Ho:μ=5 - Ha:μ<5 But I need help understanding how to calculate the test statistic. I know we have a sum of 93 with a sample size of 28 but how do you come to the conclusion for the test stastisic and how do you figure out whether you have enough proof to accept or reject the claim? Thank you.

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