AAstion listuestion 1uestion 2"uestion 3uestion 4uestion 5uestion 6uestion 74:41uestion 8uestion 9<mylab.pearson.comFind the standard deviation, s, of sample data summarized in the frequency distribution table given below by using theformula below, where x represents the class midpoint, f represents the class frequency, and n represents the totalnumber of sample values. Also, compare the computed standard deviation to the standard deviation obtained fromthe original list of data values, 9.0.S=[π[Σ(-x)] - [Σ+x2n(n-1)IntervalFrequency30-391 140-4925A50-5942Standard deviation - (Round to one decimal place as needed.)60-691870-79780-89 O2n

Interval Frequency 30 - 39 1 40 - 49 25 50 - 59 42 60 - 69 18 70 - 79 7 80 - 89 2

Answered: Find the standard deviation, s, of…

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 sample of n = 56 observations The sum of x is ∑x = 4135 The sum of x² is ∑x² = 315647 15 Suppose one of the observations in the data set in the previous question is x = 88. This data point deviates from the mean by ______ standard deviations. a 1.03 b 1.15 c 1.28 d 1.42
b. Using the values of the mean and standard deviation for persons with tertiary education, obtained in part 'a' sheet 3. Using Chebyshev' theorem, find at least what percentage of people in this group fell between +5 and -5 of the mean.
An SRS of 25 recent birth records at the local hospital was selected. In the sample, the average birth weight was x = 119.6 ounce Suppose the standard deviation is known to bes = 6.5 ounces. Assume that in the population of all babies born in this hospital, the birth weights follow a Normal distribution, with mean m. Based on the 25 recent birth records, the sampling distribution of the sample mean x can be represented by: a. N(119.6, 1.30). b. N(119.6, 6.5). O c. N(m, 1.30). O d. N(m, 6.5).
The state of California has a mean annual rainfall of 22 inches, whereas the state of New York has a mean annual rainfall of 42 inches. Assume that the standard deviation for both states is 3 inches. A sample of 30 years of rainfall for California and a sample of 45 years of rainfall for New York has been taken. If required, round your answer to three decimal places. (a) Show the sampling distribution of the sample mean annual rainfall for California. E(x) σx̄ California inches inches (b) Show the sampling distribution of the sample mean annual rainfall for New York. E(x) σx̄ New York inches inches (c) In which of the preceding two cases, part (a) or part (b), is the standard error of x smaller? Why? The standard error is - Select your answer -largersmallerItem 5 for New York because the sample size is - Select your answer -largersmallerItem 6 than for California.
From the data given below find the number of items (n): r= 0.5 , Σxy = 120 , σy = 8 , ΣΧ-90 Where x and y are deviations from arithmetic mean.
Comment briefly on the following statements : (i) A computer obtained the standard deviation of 20 observations whose values ranged from 65 to 85 as 25. (ii) A student obtained the mean and variance of a set of 10 observations as 10, – 5 respectively. (iii) The range is the perfect mea m&tA¨variability as it includes all the measurements. (iv) For the distr.bution of 5 obsem mns : 8, 8, 8, 8, 8; mean = 8 and variance = 8. (v) If the mean and s.d. of distribution A are smaller than the mean and s.d. of distribution B respectively, then the distribution A is more uniform (less variable) than the distribution B.
A queueing system has an arrival rate of 37 visitors per day (standard deviation of 32) and a service rate of 42 visitors per day (standard deviation of 25). (Round your answer to three decimal places.) What is the coefficient of variation of the arrival rate?
Use the formula to find the standard error of the distribution of differences in sample means, ₁ - ₂. Samples of size 35 from Population 1 with mean 3.1 and standard deviation 1.8 and samples of size 35 from Population 2 with mean 2.0 and standard deviation 1.4 Round your answer for the standard error to two decimal places. standard error = i
Use the formula to find the standard error of the distribution of differences in sample means, ₁ - ₂. Samples of size 23 from Population 1 with mean 6.5 and standard deviation 3.4 and samples of size 40 from Population 2 with mean 7.9 and standard deviation 6.6 Round your answer for the standard error to two decimal places. standard error = PI
Withdrawal symptoms may occur when a person using a painkiller suddenly stops using it. For a special type of painkiller, withdrawal symptoms occur in 4% of the cases. Consider a random sample of 2400 people who have stopped using the painkiller. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p is the proportion of people in the sample who experience withdrawal symptoms. (b) Find the standard deviation of (c) Compute an approximation for P(p <0.05), which is the probability that fewer than 5% of those sampled experience withdrawal symptoms. Round your answer to four decimal places.
ou should complete the table as part of the procedure of finding the variance and standard deviation. Xi (Xi-(mu)) | (Xi-(mu)) | 49 53 60 60 62 63 64 69 73 87 [Note, this is the same set of data points used in problem 6. How does this compare to the standard deviation computed in problem 6? Why might this be smaller?]
Let x₁ represent the sample mean cost (in thousands) to remodel a kitchen and x₂ represent the sample mean cost (in thousands) to remodel a master bedroom. A point estimate for the difference in these remodeling costs is desired, so x₁ - x₂ is needed. A sample mean is calculated as follows where x, is the sum of the given values and n is the sample size. X = n The sample of costs to remodel a kitchen, in thousands of dollars, are given. Kitchen 27.2 18.4 23.8 22.9 20.7 24.0 21.7 17.9

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