Chapter 07, Section 7.4, Problem 038cThe amounts of electricity bills for all households in a city have a skewed probability distribution with a mean of $137 and a standard deviation of $30. Find the probability that the mean amount ofelectric bills for a random sample of 75-households selected from this city will be more than the population mean by at least $4.Round your answer to four decimal places.P (x greater than u by at least $4) =the tolerance is +/-2% Chapter 08, Section 8.1, Problem 001Briefly explain the meaning of an estimator and an estimate.An estimator is the value of a sample statistic used to estimate a population parameter, while an estimate is an interval where one is confident to a certain percent that the value of interest is inthe interval.An estimator is a sample statistic used to estimate a population parameter, while an estimate is the value(s) assigned to a population parameter based on the value of a sample statistic.An estimator is the value(s) assigned to a population parameter based on the value of a sample statistic, while an estimate is a sample statistic used to estimate a population parameter.O An estimator is an interval where one is confident to a certain percent that the value of interest is in the interval, while an estimate is the value of a sample statistic used to estimate apopulation parameter.O An estimator is a prediction of the mean based on the population, while an estimate is a prediction of the mean based on a sample.

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Chapter 07, Section 7.4, Problem 038c The amounts of electricity bills for all households in a city have a skewed probability distribution with a mean of $137 and a standard deviation of $30. Find the probability that the mean amount of electric bills for a random sample of 75- households selected from this city will be more than the population mean by at least $4. Round your answer to four decimal places. P (x greater than µ by at least $4) =

Chapter 07, Section 7.4, Problem 038c The amounts of electricity bills for all households in a city have a skewed probability distribution with a mean of $137 and a standard deviation of $30. Find the probability that the mean amount of electric bills for a random sample of 75- households selected from this city will be more than the population mean by at least $4. Round your answer to four decimal places. P (x greater than µ by at least $4) =

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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Concept explainers

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!

Question

Chapter 07, Section 7.4, Problem 038c
The amounts of electricity bills for all households in a city have a skewed probability distribution with a mean of $137 and a standard deviation of $30. Find the probability that the mean amount of
electric bills for a random sample of 75-households selected from this city will be more than the population mean by at least $4.
Round your answer to four decimal places.
P (x greater than u by at least $4) =
the tolerance is +/-2%

Chapter 08, Section 8.1, Problem 001
Briefly explain the meaning of an estimator and an estimate.
An estimator is the value of a sample statistic used to estimate a population parameter, while an estimate is an interval where one is confident to a certain percent that the value of interest is in
the interval.
An estimator is a sample statistic used to estimate a population parameter, while an estimate is the value(s) assigned to a population parameter based on the value of a sample statistic.
An estimator is the value(s) assigned to a population parameter based on the value of a sample statistic, while an estimate is a sample statistic used to estimate a population parameter.
O An estimator is an interval where one is confident to a certain percent that the value of interest is in the interval, while an estimate is the value of a sample statistic used to estimate a
population parameter.
O An estimator is a prediction of the mean based on the population, while an estimate is a prediction of the mean based on a sample.

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