Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561

3rd Edition

ISBN: 9781259969454

Author: William Navidi Prof.; Barry Monk Professor

Publisher: McGraw-Hill Education

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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 9.3, Problem 7E

In Exercises 7 and 8, fill in each blank with the appropriate word or phrase.

To perform a t-test when the sample size is small, the sample must show no evidence of strong ______ and must contain no ____.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 9.2, Problem 72E

Chapter 9.3, Problem 8E

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Chapter 9 Solutions

Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561

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In Exercises 7 and 8, fill in each blank with the appropriate word or phrase. To perform a t -test when the sample size is small, the sample must show no evidence of strong __ and must contain no .

Solution Summary: The author explains the necessary conditions to use the t-test when sample is small. Population standard deviation must be unknown, sample should be drawn from normally distributed population, and no outliers.

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Chapter 9 Solutions

In Exercises 7 and 8, fill in each blank with the appropriate word or phrase. To perform a t -test when the sample size is small, the sample must show no evidence of strong ______ and must contain no ____.

Solution Summary: The author explains the necessary conditions to use the t-test when sample is small. Population standard deviation must be unknown, sample should be drawn from normally distributed population, and no outliers.

Concept explainers

Videos

Want to see the full answer?

Chapter 9 Solutions

In Exercises 7 and 8, fill in each blank with the appropriate word or phrase. To perform a t -test when the sample size is small, the sample must show no evidence of strong __ and must contain no .