Consider the following hypotheses and sample data, and then complete parts a and b below using a = 0.05.Ho: us 17H4:µ> 1720191420212216221616...a) What conclusion should be drawn?Determine the critical value(s).The critical value(s) is(are).(Round to three decimal places as needed. Use a comma to separate answers as needed.)

Answered: Consider the following hypotheses and…

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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Please use the five steps in hypothesis testing. (a) Meteorology: Storms Weatherwise is a magazine published by the American Meteorological Society. One issuegives a rating system used to classify Northeaster storms that frequently hit New England and can cause muchdamage near the ocean. A severe storm has an average peak wave height of μ=16.4 ft for waves hitting the shore. Suppose that a Northeaster is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 36 waves showed on average wave height of x̄=17.3 ft. Previous studies of severe storms indicate that σ=3.5 ft. . Does this information suggest that the storm is perhaps temporarily increasing above the severe rating? Use a=0.01
b) A manufacturer claims that the average thickness of their chewing gum is 20mm. A quality control engineer wishes to check this claim and measures the average thickness of a sample of 10 pieces of gum, finding x = 18.6mm and s = 4mm. Does the sample seem to indicate that the average thickness of their chewing gum is not 20mm? Use a 0.05 level of significance. Circle the correct null and alternative hypotheses. i) H : μ = 20 : Нo μ = 20 Η : μ 20 ii) What is the probability of making a Type I error? iii) Which test statistic will you use? Circle your answer. Ꮓ T iv) x² Calculate the value of the test statistic for the quality control engineer's sample. v) Determine the critical value of the test statistic. Do not round or truncate. vi) Determine the P-value. vii) What is the conclusion? Accept Ho Reject Ho Fail to reject Ho Circle your response. viii) Does the sample seem to indicate that the average thickness of their chewing gum is not 20mm? Circle your response. YES NO
A. Given u = 200 and o = 24, compute for the corresponding z-scores of the following raw scores. Round your answer up to two decimal places. 3. х%3D 260 4. х%3D 186 5. x= 212
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Find the ?2 critical values using the information in the table. set ? df a) 0.05 4 b) 0.025 11 c) 0.005 21 d) 0.01 30 a) critical value: b) critical value: c) critical value: d) critical value:
View the attatched photo and select the correct answer for A. Then look at the questions below (B and C) and answer those using the data oe information in the photo. A) Answer A which is in the photo. B) Calculate the standardized test statistic. T = ? C) Calculate the P-value. P = ?
7. In testing the hypothesis The test statistic is found to be Z = 2.03. Which of the following is the correct p-value? Họ: u = 35 Hạ: u > 35 %3D A. 0.9788 B. 0.0424 C. 0.0212 D. 1.9576 E. None of these
and o from the given parameters of the population and sample size. Determine u = 84, o = 18, n = 81 .....
Given the following figures 5,12,6,3,8,11,15,9,12,15 calculate a measure of relative Kurtosis round to 2 decimals I
Given the following: Ho: μ = 75 Ha: μ > 75 Test Value = 0.960 Critical Value = 1.796 Which of the following shows the correct graph and decision? A. B. Reject Ho. C. - 1.796 Accept Ho. 0.960 1.796 0.960 1.796 Accept Ho. D. -1.796 Reject Ho. 0.960 1.796 1.796 0.960
3. Load the Santa Barbara temperature data using the following com- mands stbarb=read.table ("berkeley.dat")[,3] Since the data is non-stationary, we consider taking difference of stbarb. Create ACF and PACF plots for the differenced data. Do you have an opinion on possible models based only on these plots?
Consider the following data set. Draw a dotplot for the given data set. 03 n = 10 measurements: 8, 5, 6, 9, 4, 5, 7, 8, 4, 6 03 . 4 + 4 USE SALT 5 5 6 · 6 7 7 . 8 : 8 9 ↑ 9 10 10 Ⓒ 4 . 5 6 . 7 . 8 9 Are the data mound-shaped? Can you use Tchebysheff's Theorem to describe the data? The Empirical Rule? Explain. O The data set is not mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. O The data set is relatively mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence you can use both Tchebysheff's Theorem and the Empirical Rule to describe the data. O The data set is not mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. 10 Q 03 4 5 6 7 9 10

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