2nd Edition

ISBN: 9781260189261

Author: sobecki

Publisher: MCG

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Textbook Question

Chapter 2, Problem 36LSR

Carefully read through the list of terminology we’ve used in Unit 2. Consider circling the terms you aren’t familiar with and looking them up. Then test your understanding by using the list to fill in the appropriate blank in each sentence.

A = P ( 1 + r ) t A = P + P r t

area

change

compound inequality

constant

conversion factor

dependent variable

dimensional analysis

empirical rule

equation

equivalent

error

estimation

evaluate

expected value

expression

fair game

formula

future value

greater than

greater than or equal to

independent variable

inequality

input

interest rate

less than

less than or equal to

mean

median

mode

normally distributed

output

percent error

principal

range

rate

relative change

standard deviation

time

unit rate

variable

volume

weighted scale

When a group of data is normally distributed, and we know the mean and standard deviation, the rule that allows us to estimate how many data values fall within certain ranges is known as the _______________.

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, Problem 35LSR

Chapter 2, Problem 37LSR

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Chapter 2 Solutions

PATHWAYS TO MATH LITERACY- ACCESS CARD

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Solution Summary: The author explains that when data is normally distributed and we know the mean and standard deviation, the rule that allows us to estimate how many data values fall within certain range is known as the empirical rule.

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