ntexsu.blackboard.com/ultra/courses/ 3217867_1/grades/assessment/ 2701735_1/overvipw/attempt/_1129Examity::Start Ex...YouTubeReview Example 8.5 and answer the following questions.EXAMPLE 8.5ProblemMaps M GmailDo youAdditional contentContentDrag and drop files here or click to add text.Questions Filter (2) ▼General Psycholog...The average earnings per share (EPS) for 10 industrial stocks randomly selected from those listed onthe Dow Jones Industrial Average was found to be X = 1.85 with a standard deviation of s=0.395.Calculate a 99% confidence interval for the average EPS of all the industrials listed on the DJIA.a. A confidence interval is a type of estimator. What are we estimating in this example?b. Name each symbol in the confidence interval given and explain the use of the symbol.c Suppose you were conducting a two-tailed hypothesis test: Ho: μ = 3.0 at a = .01. What do you conclude?a. A confidence interval is a type of estimator. What are we estimating in this example?Answer:b. Name each symbol in the confidence interval given and explain the use of the symbol.Answer:c Suppose you were conducting a two-tailed hypothesis test: Ho: μ = 3.0 at a = .01. What do you conclude?Answer:2-tra- top (√) ≤AS2+² (√)1 OF 2 QUESTIONS REIhttps://forms.gleMacBook Air

The Dow Jones industry stated summary statistics of the average earning per share (EPS).randomly…

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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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question 20
QUESTION 3 Four different insulator products made of different rubber mixtures are being tested. One of the tested features of the products is their tensile strength. Therefore, a random sample of insulator products drawn from each mixture is used to determine whether there is variability in the mean tensile strength data. Table 2 shows the measured data on tensile strength in grams per square centimetre. A 16.8 21.4 20.1 21.5 19.2 18.5 Rubber Mixture B с 16.9 19.5 16.4 18.9 17.1 18.6 20.9 20.5 15.8 18.1 D 14.6 20.3 16.4 17.5 Table 2 Design your analysis at the 0.025 and 0.25 significance levels from tabulated data. Compare your findings.
Write the 5-step solutions for each of the following problems. You can use any approach convenient to you. 1. An electrical company claims that the lives of the light bulbs it manufactures are normally distributed with a mean of 1,000 hours and a standard deviation of 100 hours. Test if the sample mean is significantly different from 1000 hours, if a random sample of 100 bulbs produced by this company has a mean life of 980 hours. Use 0.05 level of significance. WS 7b-1 Null Hypothesis Level of Significance Data P= Sample Size Sample Mean Sample Standard Deviation Intermediate Calculations Standard Error of the Mean Z Test Statistic Two-Tail Test Lower Critical Value Upper Critical Value p-Value Reject the null hypothesis 1000 0.05 100 980 100 10 -2 -1.959962787 1.959962787 0.045500124 Method A Method B 5-Step Solution 1. H. HA 2. a p-Value: 2-T non-directional. 3. Decision Rule: Reject H, if p-Value -) ≤ a(0.05). 4. Decision: because 5. Conclusion: 2. An instructor wishes to determine…
Question 10: I invested the same amount, $100 in each of 50 stock picks. The average amount I made was $110, and the standard deviation of the amount I made was 45. Test the null hypothesis that I have no skill: i.e., the population mean of the amount I made back was $100. Make sure to state your conclusion about whether I have skill or not.
Question 16
Question 1: Professor Harde assumes that exam scores are normally distributed and wants to grade "on the curve." The mean score was 57, with a standard deviation of 13. (Round your answers to the nearest whole number.) (a) If she wants 19% of the students to receive an A, find the minimum score to receive an A. (b) If she wants 27% of the students to receive a B, find the minimum score to receive a B. Question 2: The shrinkage in length of a certain brand of blue jeans is normally distributed with a mean of 1.2 inches and a standard deviation of 0.5 inch. What percent of this brand of jeans will shrink the following amounts? (Round your answers to two decimal places.) (a) more than 1.7 inches %(b) between 0.9 and 1.35 inches %
Question 12 During 2008, college work-study students earned a mean of $1478. Assume that a sample consisting of 25 of the work-study students at a large university was found to have earned a mean of $1503 during that year, with a standard deviation of $210. If the null and alternative hypotheses can be used to suggest that the average earnings of this university’s work-study students were significantly higher than the national mean. At 5% level of significance what is your conclusion? There is enough evidence to support the claim There is no enough evidence to support the claim There is enough evidence to reject the claim There is no enough evidence to reject the claim
In question 7, you used exponential smoothing to forecast week 20. For the same data set with the same value of alpha, perform error analysis. What is the value of the MAD (mean absolute deviation) rounded to two decimal places? alpha = 0.1 week Sales (1000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 13 31 14 34 15 31 16 33 17 28 18 32 19 30
Answer for question D
Example 9.23 If X is the mean and s is the standard deviation of a set of measurements which are normally distributed, what percentage of the measurement is (a) within the range (X± 2s), (b) outside the range (X± 1.2s), (c) greater than (X - 1.5s)?
Question 7 of 9 Step 1 of 1 01:22:25 Suppose that prices of recently sold homes in one neighborhood have a mean of $225,000 with a standard deviation of $6550. Using Chebyshev's Theorem, what is the minimum percentage of recently sold homes with prices between $211,900 and $238,100? Round your answer to one decimal place. AnswerHow to enter your answer (opens in new window) 2 Points Keypad Keyboard Shortcuts At least % ev
Question 12 An engineer who is studying the tensile strength of a steel alloy intended for use in golf club shafts knows that tensile strength is approximately normally distributed with =70. She wants to test whether the mean tensile strength is 3,530 psi or not at the level of significance (alpha) of 0.01. She wants to guarantee that the power of the test is 80%. If the true population mean is 3,477 psi, what sample size should she choose? (provide your answer with no decimal places after rounding appropriately)

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