Pearson eText for Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences -- Instant Access (Pearson+)

14th Edition

ISBN: 9780137553426

Author: Raymond Barnett, Michael Ziegler

Publisher: PEARSON+

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Addition Rule of Probability

It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.

Expected Value

When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known …

Probability Distributions

Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosi…

Basic Probability

The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the prob…

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Textbook Question

Chapter 8.1, Problem 24E

Refer to the description of a standard deck of 52 cards and Figure 4 on page 384 . An experiment consists of drawing 1 card from a standard 52 -card deck. In Problems 15 - 24 , what is the probability of drawing

A six or club

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Chapter 8.1, Problem 23E

Chapter 8.1, Problem 25E

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iid 1. The CLT provides an approximate sampling distribution for the arithmetic average Ỹ of a random sample Y₁, . . ., Yn f(y). The parameters of the approximate sampling distribution depend on the mean and variance of the underlying random variables (i.e., the population mean and variance). The approximation can be written to emphasize this, using the expec- tation and variance of one of the random variables in the sample instead of the parameters μ, 02: YNEY, · (1 (EY,, varyi n For the following population distributions f, write the approximate distribution of the sample mean. (a) Exponential with rate ẞ: f(y) = ß exp{−ßy} 1 (b) Chi-square with degrees of freedom: f(y) = ( 4 ) 2 y = exp { — ½/ } г( (c) Poisson with rate λ: P(Y = y) = exp(-\} > y! y²

2. Let Y₁,……., Y be a random sample with common mean μ and common variance σ². Use the CLT to write an expression approximating the CDF P(Ỹ ≤ x) in terms of µ, σ² and n, and the standard normal CDF Fz(·).

3. We'd like to know the first time when the population reaches 7000 people. First, graph the function from part (a) on your calculator or Desmos. In the same window, graph the line y = 7000. Notice that you will need to adjust your window so that you can see values as big as 7000! Investigate the intersection of the two graphs. (This video shows you how to find the intersection on your calculator, or in Desmos just hover the cursor over the point.) At what value t> 0 does the line intersect with your exponential function? Round your answer to two decimal places. (You don't need to show work for this part.) (2 points)

Chapter 8 Solutions

Pearson eText for Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences -- Instant Access (Pearson+)

Ch. 8.1 - A shipment box contains 12 graphing calculators,...Ch. 8.1 - Repeat Example 1 for (A) The outcome is a number...Ch. 8.1 - An experiment consists of recording the boy-girl...Ch. 8.1 - Refer to the sample space shown in Figure 2. What...Ch. 8.1 - Suppose in Example 4 that after flipping the...Ch. 8.1 - Under the conditions in Example 5, find the...Ch. 8.1 - Use the graphing calculator output in Figure 4B to...Ch. 8.1 - In drawing 7 cards from a 52 -card deck without...Ch. 8.1 - What is the probability that the committee in...Ch. 8.1 - In Problems 1-6, without using a calculator,...

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Refer to the description of a standard deck of 52 cards and Figure 4 on page 384 . An experiment consists of drawing 1 card from a standard 52 -card deck. In Problems 15 - 24 , what is the probability of drawing A six or club

Solution Summary: The author calculates the probability of drawing a six from the standard deck of 52 cards.

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