5. The revenue (Y) for 1,000 food producing establishments in a country may bedescribed by an exponential distribution with parameter 2 = 1/(12*10°), useseed=1999.a. Generate the 1000 revenues and retain the integer portion.Obtain a histogram for the data in (a).b.c. Select a simple random sample of size 30 from this population (use seed2008).=d. Using this sample, estimate the average and total revenue and theassociated variance estimates.e. Construct 95% confidence intervals for the mean and total revenue of thepopulation.f. For this type of distribution, why is a simple random sampling not the bestdesign to yield a precise estimate? Suppose there was an auxiliaryinformation prior to the sampling design, propose an alternate samplingdesign that can lead to a more precise estimate. Explain how you could dothis.

We will generate 1000 revenues from an exponential distribution of parameter 1import numpy as np 2…

Answered: a. Generate the 1000 revenues and…

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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Choose the letter of the best answer. 1. Which of the following data show most likely the largest possible variance or variability? A. number of pieces of frebch fries in a regular pack from different orders of customers at McDonalds B. number of boys in families of three-children C. number of customers per hour who went shopoing at SM Super Malls D. number of heads that will appear if two coins are tossed together repeatedly 2. Which of the following data show most likely the smallest possible variance or variability? A. the number of passengers in a tricycle per destinations B. the number of applicants in the different job opening C. the number of families who own a privare vehicle in different cities in NCR D. the number of adults who use public restrooms in Metro Manila 3. Which of the following is NOT a property of the variance? A. a small variance means that the distribution of the random variable is narrowly concentrated around the mean B. a large variance means that the…
Q. No. 1. Use following sample home prices ($000s) to answer the questions: 48.8 995.9 209.0 175.0 628.3 298.0 218.9 111.0 212.3 2325.0 958.0 212.6 a) What is the sample median home price? b) Do the data contain any outliers? c) Determine variance and standard deviation. d) Develop a Box Plot for the home prices. e) Determine 8th decile. f) Determine the coefficient of skewness using the software method. g) In the given case, which is the better measure of Central Tendency? Why? h) At least what percent of home prices will lie between two standard deviations of mean?
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Answer number 6, Dont use P value Technique
One sample has n=7 and SS=35 and a second sample has n =17 and SS =45. What is the pooled variance for these two samples?
When two births are randomly selected, the sample space for genders is bb, bg, gb, and gg. Assume that those four outcomes are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from two births. Does the mean of the sample proportions equal the proportion of girls in two births? Does the result suggest that a sample proportion is an unbiased estimator of a 1 1 population proportion? For the entire population, assume the probability of having a boy is the probability of having a girl is, and this is not affected by how many boys or girls have previously been born. Determine the probabilities of each sample proportion. Sample proportion of girls ▼ ▼ ▼ Probability (Type integers or simplified fractions.)
Suppose that the time in minutes it takes a student to complete an assignment is normally distributed with a mean 50 and variance 100 then the 85th percentile of the average time it takes a random sample of 25 students to complete the assignment is closest to a 48. • b. 52 • C. 40. • d. 60. • e. 71.
Suppose I want to sample the household incomes for EBR parish. Let's say I start with a simple random sample of 100 residents and calculate the sample mean. How would the sampling distribution of change if I increase the sample size to 1,000 residents?
A. What is the sample variance?B. What is the mode and kurtosis of the data C. In a box-and-whisker plot, what is the IQR?

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