Data and probability connections
著者
書誌事項
Data and probability connections
（Prentice Hall series in mathematics for middle school teachers）（Connections in mathematics courses for teachers）
Pearson Prentice Hall, c2007
- タイトル別名
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Connecting middle school and college mathematics (CM)2
Mathematics for middle school teachers
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注記
At head of title: Connecting middle school and college mathematics (CM)[superscript 2]
Includes bibliographical references (p. 358) and index
内容説明・目次
内容説明
For future middle school math teachers.
Part of a project funded by the National Science Foundation to improve the quality of mathematics and science teaching in grades K-12, this new text helps future teachers connect their college-level statistics to topics in standards-based middle school mathematics curricula. Designed to promote active learning, Data Analysis and Probability Connections models the student-centered approach recommended by the National Council of Teachers of Mathematics.
Other titles in the Prentice Hall Connections in Mathematics Courses for Teachers include:
1. Geometry Connections: Mathematics for Middle School Teachers
2. Algebra Connections: Mathematics for Middle School Teachers
3. Data and Probability Connections: Mathematics for Middle School Teachers
4. Calculus Connections: Mathematics for Middle School Teachers
目次
Chapter 1: Elements of Statistics
Getting Started
Types of Data
Chapter 2: Organizing and Displaying Data
Displaying Categorical Data
Displaying Quantitative Data
Misleading Graphs
Chapter 3: Describing Data with Numbers
Measures of Center
Measures of Spread
Measures of Position
Box-and whisker Plots
Chebyshev's Rule and the Empirical Rule
Chapter 4: Data with Two Variables
Scatter Plots and Correlation
Pearson's Correlation Coefficient
Slopes and Equations of Fitted Lines
The Least Squares Line
The Median-Median Line
Chapter 5: Probability
What is Probability?
Outcomes and Events
Basic Probability Rules
Conditional Probability and Independence
Multiplication Rules
Geometric Probability
Chapter 6: Methods for Counting Outcomes
The Multiplication Principle
Permutations
Combinations
Mixed Counting Problems
Chapter 7: Random Variables and Probability Distributions
What is a Random Variable?
The Mean of a Random Variable
Variance and Standard Deviation for Random Variables
Binomial Random Variables
Normal Random Variables
Normal Approximations
Chapter 8: Distributions from Random Samples
The Distribution of Sample Means
The Distribution of Sample Proportions
Chapter 9: Estimating with Confidence
What is a Confidence Interval?
Confidence Intervals for Proportions
Confidence Intervals for Means
Sample Size
Chapter 10: Testing Hypotheses
What is a Hypothesis Test?
Tests About Proportions
Tests About Means
The P-value for a Test
「Nielsen BookData」 より
