'Original data values' presentation slideshows

Welcome to Wk09 MATH225 Applications of Discrete Mathematics and Statistics

Welcome to Wk09 MATH225 Applications of Discrete Mathematics and Statistics. http://media.dcnews.ro/image/201109/w670/statistics.jpg. Histograms. Many bar/column charts display count data. HISTOGRAMS IN-CLASS PROBLEMS. Many bar/column charts display count data

3.34k views • 333 slides

Probability & Statistics for P-8 Teachers

Probability & Statistics for P-8 Teachers. Chapter 3 Data Description. What is Next?. Now that we know how to organize the data and create nice graphs to present the results, we need to focus on describing patterns in the data. Summarizing data sets numerically

973 views • 82 slides

Sections 3-1 & 3-2 Measures of Center

Sections 3-1 & 3-2 Measures of Center. In this chapter, we will revisit the concepts of Center, Variation, and Distribution in more detail. Concepts. ? means add all values in a set x is a data value n is the number of values in a sample N is the number of values in a population.

814 views • 81 slides

Chapter 3 Statistics for Describing, Exploring, and Comparing Data

Chapter 3 Statistics for Describing, Exploring, and Comparing Data. 3-1 Review and Preview 3-2 Measures of Center 3-3 Measures of Variation 3-4 Measures of Relative Standing and Boxplots. 3.2- Measure of Center. Measure of Center the value at the center or middle of a data set.

973 views • 73 slides

Measures of Center

Measures of Center. Measure of Center. Measure of Center the value at the center or middle of a data set. Mean Median Mode Midrange (rarely used). Mean. Arithmetic Mean (Mean) the measure of center obtained by adding the values and dividing the total by the number of values

1.97k views • 73 slides

Chapter 3 Statistics for Describing, Exploring, and Comparing Data

Chapter 3 Statistics for Describing, Exploring, and Comparing Data. 3-1 Overview 3-2 Measures of Center 3-3 Measures of Variation 3-4 Measures of Relative Standing 3-5 Exploratory Data Analysis (EDA). Section 3-1 Overview. Created by Tom Wegleitner, Centreville, Virginia.

741 views • 71 slides

Lecture Slides

Lecture Slides. Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola. Chapter 3 Statistics for Describing, Exploring, and Comparing Data. 3-1 Review and Preview 3-2 Measures of Center 3-3 Measures of Variation

307 views • 30 slides

Section 9.3 Transformations of Data

Section 9.3 Transformations of Data. Objectives: 1. To find z-scores and other transformed scores for data. 2. To determine the effect of transformations on the mean and standard deviation. Original . Transformed. 4 6 7 9 9 10. 9 11 12 14 14 15. Mean 7.5

286 views • 28 slides

Section 2.2

Section 2.2. More Graphs and Displays. Section 2.2 Objectives. Graph quantitative data using stem-and-leaf plots and dot plots Graph qualitative data using pie charts and Pareto charts Graph paired data sets using scatter plots and time series charts. Graphing Quantitative Data Sets.

413 views • 27 slides

Sections 3-1 and 3-2

Sections 3-1 and 3-2. Review and Preview and Measures of Center. TWO TYPES OF STATISTICS. Descriptive statistics summarize or describe the important characteristics of data. Inferential statistics use sample data to make inferences (or generalizations) about a population.

471 views • 27 slides

Lecture Slides

Lecture Slides. Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola. Chapter 3 Statistics for Describing, Exploring, and Comparing Data. 3-1 Review and Preview 3-2 Measures of Center 3-3 Measures of Variation

375 views • 26 slides

Lecture Slides

Lecture Slides. Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola. Chapter 3 Statistics for Describing, Exploring, and Comparing Data. 3-1 Review and Preview 3-2 Measures of Center 3-3 Measures of Variation

263 views • 26 slides

Descriptive Statistics

310 views • 22 slides

Chapter 3

Chapter 3. Section 3.2. Predictions. How do you think sports teams figure out which prospective players to draft? How do you sports teams figure out a draft ranking system for the prospective players they want to draft? What information might be useful when drafting a team?

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356 views • 9 slides