You may need to use the appropriate technology to answer this question.A certain manufacturer is a producer of aluminum components for the avionics and automotive industries. At its plant, an engineer has conducted a quality-control test in which aluminum coilsproduced in all three shifts were inspected. The study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow.Production ShiftQuality First second ThirdGood282364172Defective183628(a) Using a 0.05 level of significance, conduct a hypothesis test to determine if the population proportion of good parts is the same for all three shifts.State the null and alternative hypotheses.O Hại Not all population proportions are equal.H:P, - P, = P3O Ho: At least two population proportions are equal.Ha: P1* P2" P3O Hgi P, * P2* P3H: All population proportions are equal.O Hoi P, - P2 "P3H: Not all population proportions are equal.Find the value of the test statistic. (Round your answer to three decimal places.)Find the p-value. (Round your answer to four decimal places.)p-value =State your conclusion.O Reject Hg. We conclude the population proportion of good parts is not equal for all three shifts.O Reject Hg. We conclude the population proportion of good parts is equal for all three shifts.O Do not reject Hg. We conclude the population proportion of good parts is equal for all three shifts.O Do not reject H. We conclude the population proportion of good parts is not equal for all three shifts.(b) If the conclusion is that the population proportions are not all equal, use a multiple comparison procedure to determine how the shifts differ in terms of quality. Which shifts differ significantly?(Select all that apply.)O shift 1 vs. shift 2O shift 1 vs. shift 3shift 2 vs. shift 3O None differ significantly.What shift or shifts need to improve the quality of parts produced?Shift 1, because it differs significantly from shift 3.O Shift 3, because it differs significantly from shift 1.O Shifts 1 and 2, because they differ significantly from shift 3.O Shifts 2 and 3, because they differ significantly from shift 1.O No shifts need to improve, because no shift differs significantly from either of the others.

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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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In a 25-unit sample of a variable with a population average of 50, the Mean was 53 and the variance was 100. Which of the following is the test statistic for hypothesis testing? Please select one: a. 2.5 b. 1 c. 0.75 d. 3 e. 1.5
A company produces scooters used by small businesses that find them convenient for making short deliveries. The company is notified whenever a scooter breaks down, and the problem is classified as being either mechanical or electrical. The company then matches the scooter to the plant where it was assembled. The data table to the right contains a random sample of 200 breakdowns. Use the data file and the relative frequency assessment method to complete parts a through c. Electrical Mechanical Total Plant 1 27 44 71 Plant 2 66 63 129 Total 93 107 200 a. What is the probability a scooter was assembled at Plant 2? P(Plant 2) = (Type an integer or a decimal.) b. What is the probability that a scooter breakdown was due to an electrical problem? P(electrical) = (Type an integer or a decimal.) c. What is the probability that a scooter breakdown was due to a mechanical problem and the scooter was assembled at Plant 1? P(mechanical and Plant 1) = (Type an integer or a decimal.)
Empathy: The Interpersonal Reactivity Index is a survey designed to assess four different types of empathy. One type of empathy, called Empathetic Concern measures the tendency to feel sympathy and compassion for people who are less fortunate. The index ranges from 0 (less empathetic) to 28 (more empathet The following data, representing random samples of 11 males and 11 females, are consistent with results reported in psychological studies. Boxplots show tha it is reasonable to assume that the populations are approximately normal. Can you conclude that the mean empathy score for men is less than the mean empathy score for women? Let μ₁ denote the mean empathy score for males and μ₂ denote the mean empathy score for females. Use the a=0.01 level and the critical value method with the table. 12 16 13 26 21 23 8 15 18 25 15 Males 21 23 15 26 25 28 24 16 19 20 23 Females Part 1 of 6 Send data to Excel State the appropriate null and alternate hypotheses. H₁ | M₁ = μ₂ H₁ :|µ₁ <µ₂ This is a…
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what test is applicable in this situation
A researcher wanted to test whether there is a relationship between preferred sweet (Oreo cookies, Mars bars, or Twinkies) and age group (children, adolescents, or young adults). To test that, subjects from the three age groups were asked which of the three sweets they preferred. Which statistical test should be used to analyze the data? 1. chi square test of independece 2. chi square test for goodness of fit 3. one sample t test 4. one way anova test
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A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20
The age of first marriage for women who responded to a survey by the CDC between 2006 and 2010 is used here. The women who first married in their twenties were randomly divided into three groups: A, B, and C. The ANOVA output is supplied below: Count NAS (Missings) 3773 group Count A 1288 B 1246 C 1239 Frequency Source DF 2 group Residual 3770 28 26 24 Response Variable (age) Summary Mean 22 20 T 0 Group Variable Summary NAS Mean (Missings) 23.73787 A 0 23.76941 0 23.77929 0 23.66344 ANOVA Table: age-group Sum of Squares 10.283 26969 Mean Square Std. Dev. Std. Dev. 2.674442 B F Value Pr>F MSG 0.71875 0.48743 MSE Age of First Marriage in 20's 2.728097 2.664101 2.628699 C

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