Z Scorez scorefor eachfor eachvalue ofvalue ofхх0.27860.536-0.149460.0890.6960.0621.253-101.6522.07020.714-0.9280.6632.46191.4731.671650.5360.3710.1990.089430.2780.025Σ:=5.2073.8574.286S, =3.078s 3.200 5. What is the value of ? Remember,= r^A0.868а.b. В- 0.2790.835с.d. B0.235

Answered: Z Score z score for each for each value…

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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Ophelia O'Brien, VP of Consumer Credit of American First Banks (AFB), monitors the default rate on personal loans at the AFB member banks. One of her standards is "no more than 5% of personal loans should be in default." On each Friday, the default rate is calculated for a sample of 500 personal loans. Last Friday's sample contained 30 defaulted loans. Using = 0.10, the observed z value is
Normally a cumulative size distribution has an S shaped curve. For simplicity of analysis, we will, assume it to be a line. In particular, a particle mass distribution, N3(x) (cumulative particle number under vs size) is linear and pass through the points N3 = 0 at a particle size of 1 µm and N3 = 1 at 101 µm. For this distribution, determine the specific surface area, Sv, in µm-1 Correct answer: 0.2769
As the sample size decreases, the width of the interval decreases. increases. neither of the above; it depends on the situation.
A pharmcuticle company claims that its new drug reduces systolic blood pressure. The systolic blood pressure (in millimeters of Mercury) for 9 patients before taking the new drug and 2 hours after taking the drug are shown in the table below. is there enough evidence support the company's claim? Let D =(blood pressure before taking new drug)- (blood pressure after taking new drug).use significant levels of a=their 0.05 for the test. Assume that the systolic blood pressure levels are normally distributed for the population of patience both Before & After taking the new drug. 1.State the null and alternative hypothesis for the test. 2. Find the value of the standard deviation of the paired differences. Round to one decimal place. 3.compute the value of the test statistic. Round to three decimal places 4.determine the decision rule for rejecting the null hypothesis Ho. Round the numerical portion to three decimals. 5.make decision for the hypothesis test.
Calculateaconfidenceinterval for the me-dian ofthe second population.Select your confidenc eleve land reportit with your answer.??
Let X be a continuous random variable with mean μ and standard deviation σ. If X is transformed to Y = 2X + 3, what are the mean and standard deviation of Y?
area to right of 2.821 under a t-distribution with 9 degrees of freedom
A manufacturer producing cocacola drinks wanted to set the specification of production to achieve process capability. He set his Upper Control Limit (UCL) = 0.03, proportion of defective items as 0.02. Calculate the number of sample observations (n) to be used to ensure 99.74 of the value.
The molecular weight of a particular polymer should fall between 750 and 1,035. Thirty samples of this material were analyzed with the results X-bar = 902 and s = 90. Assume that molecular weight is normally distributed.
distributions of both Y1 and Yn are uniform and continuous
The number of birth defects in a region is commonly modeled as having a binomial distribution, with a rate of four birth defects per 100 births considered a typical rate in the United States. What is the probability that a county that had 200 births during the year would have between 4 and 12 birth defects. Use both the binomial distribution and the Normal approximation with the appropriate continuity correction from the table below. Is the normal approximation reasonable?
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% 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≥p0.0125, 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.

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