One-Way Analysis of Variance (Show solutions manually):Problem given: (Include interpretations)The response time in milliseconds was determined for three different types of circuits in anscientific calculator. The results are as follows:Circuit TypeResponse119222018252202133274031615182617Required:a.) Using alpharesponse time.0.01, test the hypothesis that the three circuit types have the sameb.) Construct a residuals table for the circuit typesc.) Find a 95% confidence interval or 100 (1 – 0.05) %, on the response time for circuit #3.

Given Data : Circuit Type 1 Circuit Type 2 Circuit Type 3 19 20 16 22 21 15 20 33…

Answered: The response time in milliseconds was…

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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Two different simple random samples are drawn from two different populations. The first sample consists of 40 people with 20 having a common attribute. The second sample consists of 2200 people with 1573 of them having the same common attribute. Compare the results from a hypothesis test of p₁ = P2 (with a 0.05 significance level) and a 95% confidence interval estimate of P1-P2. his OA. Ho: P12P2 H₁: P₁ #P₂ 2 View an example W S D. Ho: P1 P2 H₁: P1 #P2 X Identify the test statistic. - 2.97 (Round to two decimal places as needed.) Identify the critical value(s). H mand 80 P $ DEBEL 4 (34336 (Round to three decimal places as needed. Use a comma to separate answers as needed.) # 3 E D Get more help с NOV 20 R ▲ F V % 5 T G #tv B Ho: P1 P2 H₁: P₁ P2 E. Ho: P1 SP2 H₁: P₁ P2 Y MacBook Air H 2 & 7 N U CALDE J * 00 8 M O FO K ( 9 O V. H DG Ho: P₁ P2 H₁: P1 P2 L OF Ho: P1 H₁: P1 zoom command P P2 P2 Clear all alt F11 { option [ + 11 ? Final check } 1 delete enter return sk
Pain after surgery: In a random sample of 42 patients undergoing a standard surgical procedure, 15 required medication for postoperative pain. In a random sample of 90 patients undergoing a new procedure, only 11 required pain medication. Part: 0 / 2 Part 1 of 2 (a) Construct a 95% confidence interval for the difference in the proportions of patients needing pain medication between the old and new procedures. Let p, denote the proportion of patients who had the old procedure needing pain medication. Use tables to find the critical value and 1 round the answer to at least three decimal places. A 95% confidence interval for the difference in the proportions of patients needing pain medication between the old and new procedures is
The results of a mathematics exam at JUST university for two classes are as follows: Class 1: (n=32, mean=15.4, SD=8) and Class 2: (n=36, mean=9.6, SD=12).we are testing if the means are different What is the z statistic (a=0.05): O a. 1.9596 O b. 2.3678 O c. 0.9667 O d. 10.2062
2. Five 2 cm thick experimental pieces of an insulation material were tested atrandom. Resulted compression (y) was measured recorded for the given amount ofmeasured pressure. The data are listed below:Pressure Compression1 12 23 24 35 5Fit a simple linear model relating compression y to the applied pressure x and find:a) error variance.b) the coefficient of correlation.
A major company would like to assess the impact of using a professional trainer to conduct a confidence-building workshop with its salespeople. A sample of 16 workers is obtained. Half (n = 8) attend the workshop and the other half (n = 8) serves as a control group. Two weeks later, each of the participants is given a questionnaire measuring the level of self-confidence. The data are as follows: Workshop No Workshp 6 19 13 9 8 18 4 10 13 12 4 14 11 19 5 11 a. Use a two-tailed test with a = .05. Conduct the four steps for hypothesis testing and label each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference bewteen groups? Write your answer in the form of a sentence.
An official of a large car manufacturing company wanted to study the relationship between an employee's age and the number of absences. For this, a random sample of 10 randomly selected employees was collected and the following data was obtained. The material: age 40 28 34 27 21 38 19 55 31 35 number of absences 1 6 6 9 12 4 13 2 5 3 (a) Predict the number of absenteeism for a 42-year-old employee.(b) Determine the 95% prediction interval for the number of absences for the employee in (a).
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An experiment was conducted to compare the yield of three plant genotypes. The height of plants was also recorded to serve as concomitant variable. 1. Determine if each of the statemen is true or false regarding to test of linear dependence between height and genotype at a=0.05 a. There is sufficient evidence that at least one genotype has a different mean plant height. b. It was found that the height and genotype of the plants are independent. 2. Determine if each of the statemen is true or false regarding to test of the linear dependence of yield on height at a=0.05. a. Plant height is not an effective concomitant variable for the experiment. b. There is sufficient evidence that plant yield is linearly dependent on height. 3. Assuming that assumptions of ANCAOVA were satisfied, determine if each statement is true or falsewith regards to test of significnace of genotype effects using ANACAOVA a=0.05 a. There is sufficient evidence that at least one genotype has a different mean plant…
A major company would like to assess the impact of using a professional trainer to conduct a confidence-building workshop with its salespeople. A sample of 16 workers is obtained. Half (n = 8) attend the workshop and the other half (n = 8) serve as a control group. Two weeks later, each of the participants is given a questionnaire measuring the level of self-confidence. The data are as follows: Controls Workshop M = 17.5 M = 22.7 SS = 100 SS = 124 What type of t-test would you have to conduct in this scenario? Are the data sufficient to conclude that the treatment has a significant effect? Use a two-tailed test with α = .05. State the hypothesis, find the critical region, calculate your test statistic, evaluate your hypothesis then calculate the Cohen’s d measure for this scenario. State whether this is a weak, moderate, or strong effect.
b) The following table gives the weekly sales of hand gloves for a random sample of 40 weeks in store A: Sales (pairs) Number of weeks 30 -< 40 1 40 - < 50 3 50 - < 60 8 60 -< 70 12 70 -< 80 80 - < 90 3 90 -< 100 4 Construct a 95% confidence interval for the population proportion of weeks having sales at least 80 pairs.
A study regarding the average cost of online streaming services in two states (A and B) is conducted. The results are shown in the following table. X and Y are independent.
In a UK business school, lecturers have tried to determine if the number of hours students attend lectures has any measurable effect on the grades obtained by the students. The following data from a sample of 14 students in an international business class show hours of attendance and resulting grades.(22, 72), (20, 64), (24, 70), (8, 34), (12, 40), (16, 40),(18, 52), (16, 45), (20, 68), (24, 65), (28, 72),(20, 64), (10, 38), (16, 44)a. Estimate the regression line.b. Find a 95% confidence interval for the slope of the regression line.

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