Calvin thinks a certain potato chip maker is putting less product in their personal-sized bags of chips. In the past, these bags contained one ounce of product. Calvin conducted a test ofHe: 1vs. Hμ< 1. From a random sample of 8 bags of potato chips he calculated a p-value of 0.104 for the sample.(a) At a 5% level of significance, is there evidence that Calvin is correct? (Type Yes or No):(b) At a 10% level of significance, is there evidence that he is correct? (Type Yes or No):

We know that the decision rule about p-value is:If p-value is less than the given level of…

Answered: Calvin thinks a certain potato chip…

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

Big Sweets candy company is testing one of its machines in the factory to make sure it is producing more than 96% high-quality candy (Ho: P = 0.96; Ha: p > 0.96; a = 0.05). The test results in a p-value of 0.12. However, the company is unaware that it is actually producing 98% high-quality candy. What MOST likely happens as a result of the testing? O The company rejects Ho, making a Type I error. O The company fails to reject Ho, making a Type I error. O The company rejects Ho, making a Type II error. O The company fails to reject Ho, making a Type II error. O The company rejects Ho correctly.
if p (t>t1)=0.05 in a sample of n = 20 units, which of the following is t1? Please select one: a. 1.725 b. 1.729 c. 2.086 d. None of them e. 2.093
You are doing a T-test and get a Standardized Test Statistic (STS) of T = 0.9, with d. f. = 23. Round answers to 4 decimals. Find the P-value for a: a. right tailed test : b. left tailed test : a. two tailed test : Submit Question 13 MacBook Air esc 00 F3 600 O00 F4 F1 F2 F5 %23 2 tab R. # 3
You are testing against based on an SRS of 20 observations from a Normal population. The t statistic is t= -2.25. Using Table B, the P-value falls between and .
A random sample from a normal population has:n = 8, X-bar = 16, and s = 3. Find the 95% PI for asingle new value from the population.
Q1: A FSHN student was trying to see if onion cut in water produces significantly less tears compared to onion cut in the air. She did an experiment on 6 onions. She cut onions into half, one half was chopped in water & the other half was chopped in the air. Here is the amount of tears (in ml) she collected: air: 3.2 2.3 2.6 2.8 3.0 3.7 water: 0.2 0.03 0.09 0.1 0.01 0.15 a) What kind of test would you use to analyze this data? and Why? T test unequal variance, because there is different between variance b) Do you think the onion chopped in the air produce significantly more tears than onion cut in water? Give two reasons from the analysis to support your answer.
Answer all sub parts otherwise I will dislike
The sodium content of 30 packages of 300 grams of corn flakes of a certain brand was examined. The data in milligrams: the mean is 129.753 and s = 0.929: (a) Can the assertion that the sodium content of this brand of cereal is different from 130 mg be supported? Use = 0.5, find the p-value. b) Calculate the power of the test if the true average sodium is 130.5 mg. c) What sample size would be required to detect a true average sodium content of 130.1 if we want the power to be at least 0.75? Note:The exercise in the image is in Spanish, which is the original, to make it easier to understand.
Does training in stress reduction make a difference for student success? 15 students received training (M1= 88, SS1= 400) and 15 students did not (M2= 82, SS2= 440). Test using α = .05 What type of error could you be making?
Interpret a P-value: The manufacturer of a medication designed to lower blood pressure claims that the mean systolic blood pressure for people taking their medication is less than 135. To test this claim, blood pressure is measured for a sample of 500 people who are taking the medication. The P-value for testing Ho: μ = 135 versus H₁: µ< 135 is P = 0.001. a. The manufacturer concludes that because the P-value is very small, we can be fairly certain that the mean pressure is less than 135, but we cannot conclude that it is a lot smaller. Is this conclusion justified?
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 28 versus H1: μ ≠ 28. The true value of μ is 29 and H0 is rejected.

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