A restaurant chain is measuring the levels of arsenic in chicken from its suppliers. The question is whether there is evidence that the mean level of arsenic is greater than 80 ppb, so we are testing Ho: μ = 80 vs H₁ : μ> 80, where μ represents the average level of arsenic in all chicken from a certain supplier. It takes money and time to test for arsenic so samples are often small. A sample of n = 6 chickens from one supplier is tested, and the resulting sample mean is = 91. Subtracting 11 from the sample data to move the mean down to the null mean of x = 80 results in the following data: 57, 64, 70, 82, 84, 123. Click here to access StatKey. (a) Use StatKey or other technology to create the randomization distribution for this test. Find the p-value. Round your answer to three decimal places. Use 1000 samples. p-value - i

A restaurant chain is measuring the levels of arsenic in chicken from its suppliers. The question is whether there is evidence that the mean level of arsenic is greater than 80 ppb, so we are testing Ho: μ = 80 vs H₁ : μ> 80, where μ represents the average level of arsenic in all chicken from a certain supplier. It takes money and time to test for arsenic so samples are often small. A sample of n = 6 chickens from one supplier is tested, and the resulting sample mean is = 91. Subtracting 11 from the sample data to move the mean down to the null mean of x = 80 results in the following data: 57, 64, 70, 82, 84, 123. Click here to access StatKey. (a) Use StatKey or other technology to create the randomization distribution for this test. Find the p-value. Round your answer to three decimal places. Use 1000 samples. p-value - i

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

The difference between binomial distribution and poison distribution
Can you please explain to me a good example of what the mean of sampling distribution is?
Please define the following statistical procedures: -what is an independent samples t-test -what is a dependent samples t-test -what is a one-sample t-test
The mean of a sampling distribution is smaller than the mean of the underlying population. True or false
The average final exam score for the statistics course is 74%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is lower. The final exam scores for the 12 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the population is normal. 51, 86, 77, 86, 66, 59, 66, 76, 55, 59, 57, 80 What can be concluded at the α = 0.10 level of significance? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion H0:H0: ? μ p Select an answer = ≠ > < H1:H1: ? p μ Select an answer = > < ≠ The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.)
What is a distribution of means and how it differs from a population distribution?
A stratified sample is sometimes recommended when?
Please show all work Thank you !!
The symbol σˆpσp^ represents the proportion of a sample of size n. True False
The average final exam score for the statistics course is 43%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is larger. The final exam scores for the 19 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the population is normal. 54, 38, 45, 47, 42, 42, 48, 38, 56, 51, 46, 41, 43, 41, 37, 40, 53, 43, 43 Copy to clipboard What can be concluded at the = 0.05 level of the significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? Select an answer H1: ? Select an answer c. The test statistic ? v (please show your answer to 3 decimal places.)
9. If we take samples of size 110 from a population with proportion 0.39, comment on whether the sampling distribution follows a normal distribution. Explain.