Examine the following formula in the light of the relevant reversal tests : Ep1(90 + 1)Χ 100(ii)Epo(go + 91)Ep1 v9091(iv)× 100Epo vq091

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Answered: Ep1(90 + 1) (iii) Epo(9o + 91) Χ 100…

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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The "cold start ignition time" of an automobile engine is being investigated by a gasoline manufacturer. Two gasoline formulations were made and the following times, in seconds, were obtained for the same test vehicle. Formulation 1: 1.75 1.92 2.62 2.35 3.09 3.15 2.53 3.40 1.91 Formulation 2: 1.83 1.99 3.13 3.29 2.65 2.87 2.46 1.89 3.35 a. Calculate the mean for each formulation. b. Which of the two formulations has a more varied set of data? What is your statistical basis for this?
The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1%. When 1.25%o or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. (b) Find the standard deviation of p. (c) Compute an approximation for P(p N 0.0125), which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.
Test the following claims. This process should include each step as outlinedin the text: The literacy rate is defined to be the proportion of people over 15 years of age whocan read. The literacy rate in the United States is 97%. This is very high, but somecountries appear to be doing even better. For example, the rate in Japan appearsto be higher than 97%. Suppose we gather a sample of 450 Japanese people over 15years of age, and of these, 445 can read. Test the claim at 1% significance that theliteracy rate in Japan is higher than the U.S. literacy rate of 97%. (The proportionsfrom this sample are based on statistics given in the CIA World Factbook).
Twenty pilots were tested in a flight simulator, and thetime for each to complete a certain corrective action wasmeasured in seconds, with the following results:5.2 5.6 7.6 6.8 4.8 5.7 9.0 6.0 4.9 7.46.5 7.9 6.8 4.3 8.5 3.6 6.1 5.8 6.4 4.0 Use a computer program to find a 95% confidence inter-val for the mean time to take corrective action.
An analysis of first-year students at a college revealed that 1/4 of the first-year women were from homes where both parents were professionals. Of these, 3/5 were interested in the same profession as one or both of their parents. If this latter group is made up of 21 students, how many first-year women are there?
Please help me with this
An SRS of 100 flights by Speedy Airlines showed that 64 were on time. An SRS of 100 flights by Happy Airlines showed that 80 were on time. Let pS be the proportion of on-time flights for all Speedy Airline flights, and let pH be the proportion of all on-time flights for all Happy Airlines flights. Is there evidence of a difference in the on-time rate for the two airlines? To determine this, you test the hypotheses H0 : pS – pH  0, Ha : pS – pH  0. The P-value of your test is 0.0117. Which of the following is an appropriate interpretation of the P-value? a. If the on-time rates for the two airlines are equal, there is a 0.0117 probability of getting samples with a difference as far or farther from zero as these samples. b. If the on-time rates for the two airlines are not equal, the probability of getting samples with a difference as far or farther from zero as these samples is 0.9883. c. The probability of making a Type I error is 0.0117. d. The probability of making a Type II error…
Answer A, B1, and B2: A. The National Institute of Mental Health published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, seven of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult American population. B. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level…
In part B, how was 0.5 obtained?
b. Most new car models sold in the European Union have to undergo official tests for fuel consumption. Consider a new car model: the official fuel consumption figure for the urban cycle is published as 11.8 litres of fuel per 100 km. A consumer rights organization is interested in examining whether this published figure is truly indicative of urban driving. (i) State the hypotheses that would enable the consumer rights organization to investigate whether the model’s fuel consumption is more than the published 11.8 litres per 100 km.
A study of accident records at a large engineering company in England reported the following number of injuries on each shift for 1 year: Shift: Number of injuries: Morning 1372 Afternoon 1578 Night 1686 Is there sufficient evidence to say that the numbers of accidents on the three shifts are not the same? Test at the 0.05, 0.01, and 0.001 levels. (a) There is sufficient evidence at all three levels to say that the numbers of accidents on each shift are not the same. (b) There is sufficient evidence at the 0.05 and 0.01 levels but not at the 0.001 level. (c) There is sufficient evidence at the 0.05 level but not at the 0.01 or 0.001 levels. (d) There is sufficient evidence at the 0.001 level but not at the 0.01 or 0.05 levels. (e) There is insufficient evidence at any of these levels.
An experiment was conducted to test the effects of five different diets (A-E) in turkeys. Six turkeys were randomly assigned to each of the five different diet groups (Diet) and were fed for a fixed period of time. The weight gained in pounds was recorded for each turkey and the data was entered into R for analysis. R produced the following output. Between Within Total a. له له له م په b. C. d. e. Sum-of-squares (SS) Degrees of freedom Mean square (MS) ?? (b) 103.04 ???.?? (a) 110.9249 25 29 ????.??? (c) ????.??? (d) Find the sum-of-squares for within-group variability. Find the degrees of freedom for between-group variability. Find the mean-square of the between-group variability. F-statistic ??.????? p-value ????.??? (e) Find the mean-square of the within-group variability. Find the p-value for the ANOVA F-test. What is the conclusion? Are the means of the five diets significantly different?

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Ep1(90 + 1) (iii) Epo(9o + 91) Χ 100 Ep1 V9091 (iv) Epo vg091 Χ 100