Behavioral Sciences STAT (with CourseMate Printed Access Card) (New, Engaging Titles from 4LTR Press)

2nd Edition

ISBN: 9781285458144

Author: Gary Heiman

Publisher: Cengage Learning

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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of tw…

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency o…

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow compar…

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Textbook Question

Chapter 2, Problem 12SP

In reading psychological research, you encounter the following statements. Interpret each one. (a) “The IQ scores were approximately normally distributed.” (b) “A bimodal distribution of physical agility scores was observed.” (c) “The distribution of the patients’ memory scores was severely negatively skewed.”

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 2 Solutions

Behavioral Sciences STAT (with CourseMate Printed Access Card) (New, Engaging Titles from 4LTR Press)

Ch. 2 - What do these symbols mean? (a) N; (b) f?Ch. 2 - Why must the sum of all fs in a sample equal N?Ch. 2 - (a) What is the difference between a bar graph and...Ch. 2 - What is a dot plotted on a graph called?Ch. 2 - (a) What is the difference between a histogram and...Ch. 2 - (a) What does it mean when a score is in a tail of...Ch. 2 - Prob. 7SP Ch. 2 - (a) What is the advantage of computing relative...Ch. 2 - (a) What is the difference between the polygon for...Ch. 2 - What is the difference between the graphs for a...

Ch. 2 - Prob. 11SP Ch. 2 - In reading psychological research, you encounter...Ch. 2 - What type of frequency graph is appropriate when...Ch. 2 - The distribution of scores on a statistics test is...Ch. 2 - Prob. 15SP Ch. 2 - (a) On a normal distribution of exam scores,...Ch. 2 - Interpret each of the following. (a) You scored at...Ch. 2 - Draw a normal curve and identify the approximate...Ch. 2 - The following shows the distribution of final exam...Ch. 2 - The following normal distribution is based on a...Ch. 2 - Organize the ratio scores below in a table andshow...Ch. 2 - Draw a simple frequency polygon using the data in...Ch. 2 - What type of graph should you create when counting...Ch. 2 - An experimenter studies vision in low light by...Ch. 2 - Prob. 25SP

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Solution Summary: The author explains that IQ scores were distributed almost natively, with most scores around the middle and progressively lower or lower scores. The variable physical agility score is symmetric distribution, which consists of two separate humps.

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Chapter 2 Solutions