'Middle numbers' presentation slideshows

Welcome To

Welcome To. Measures of Central Tendency. One Step Equations. Estimating and Rounding. Heuristics. Metric System. $100. $100. $100. $100. $100. $200. $200. $200. $200. $200. $300. $300. $300. $300. $300. $400. $400. $400. $400. $400. $500. $500. $500. $500. $500.

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Mathematics Mean, Median, Mode, Range

FACULTY OF EDUCATION. Department of Curriculum and Pedagogy. Mathematics Mean, Median, Mode, Range. Science and Mathematics Education Research Group. Supported by UBC Teaching and Learning Enhancement Fund 2012-2013. Test Scores. Best Practices.

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Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)

Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e). Measures of Central Tendency And Dispersion. Measures of Central Tendency. 1. Mode = can be used for any kind of data but only measure of central tendency for nominal or qualitative data.

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Mean, Median, Mode & Range

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Module 1: Data analysis key concepts

Module 1: Data analysis key concepts. Module 1: Learning Objectives. Understand the definition and purpose of data analysis Define statistical and M&E key concepts in data analysis. Data Analysis. Turning raw data into useful information

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Statistics and Data (Algebraic)

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Chapter 13

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MODE

2, 3, 6, 4, 2, 2, 3, 6, 5. In this group of numbers 2 is the MODE. 2 appears more than any other number. In this group of fruit APPLES are the MODE. There are more apples than any other fruit. In this transport survey CARS are the MODE . There are more cars than

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Data: Measures of Central Tendencies

Data: Measures of Central Tendencies. Mean Median Mode Range. Using linker cubes, make a bar graph to represent the price of the toys below. Car $5. Doll $12. Game $7. Football $8. Jump Ropes $3. Top $1. Doll $12. Football $8. Game $7. Car $5. Jump Ropes $3. Top $1.

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Box and Whisker Plots

Box and Whisker Plots. Order numbers. 3, 5, 4, 2, 1, 6, 8, 11, 14, 13, 6, 9, 10, 7 First, order your numbers from least to greatest: 1, 2, 3, 4, 5, 6, 6, 7, 8, 9, 10, 11, 13, 14. Median. 1, 2, 3, 4, 5, 6, 6, 7, 8, 9, 10, 11, 13, 14 Then find the median (from the ordered list):

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5 Number Summary

5 Number Summary. Even Numbered Data Sets. Even Numbered Data Sets. If the data set has an even number of numbers, we find the mean of the two middle numbers to find the median of the set 2, 4, 5, 6, 7, 8, 9, 11, 19, 20 The median is 7.5. Even Numbered Data Sets.

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Measure of Central Tendency Lesson 1 (5 th 6 Weeks) TEKS 6.10B

Measure of Central Tendency Lesson 1 (5 th 6 Weeks) TEKS 6.10B. Range. The difference between the greatest and least numbers in a set of data EX: 89, 82, 79, 74, 69, 67, 58, 56, 54. 89 is the greatest number. 54 is the least number. Their difference is 89-54 or 35.

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Data Analysis

Lesson 8. Data Analysis. Completing Data Sets. Warm-Up. Glen sold 20, 29 and 22 popsicles in three days. To sell an average of 25 popsicles per day for four days, how many must Glen sell on day 4?

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Mean, Median, Mode, and Range

Mean, Median, Mode, and Range. Mean. Mean: Average First, order the numbers from least to greatest. Next, add the numbers in the data set. Then, divide the sum by the number of numbers in the set. 5, 7, 3, 5, 5. 3, 5, 5, 5, 7 3 + 5 + 5 + 5 + 7 = 25 25 / 5 = 5 Mean = 5. Median.

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STATISTICS

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Dividing Decimals; Average, Median, and Mode

Dividing Decimals; Average, Median, and Mode. Section 4.6. Objectives. Divide decimals Find the average, median, and mode of a set of decimals. Objective 1: Divide decimals. Objective 1. Decimal divided by a whole number Decimal divided by a decimal. Objective 1. To divide two numbers

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By : Naiomi Suitor

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MEASURES OF CENTRAL TENDENCY (MEAN, MEDIAN, MODE)

MEASURES OF CENTRAL TENDENCY (MEAN, MEDIAN, MODE). MEAN, MEDIAN, AND MODE RAP!. http://www.youtube.com/watch?v=1jVZi0cNHls Can you think of some real life examples that would involve a measure of central tendency?.

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Mean, Median, Mode, and Range 3-1(D) and 3-1(F)

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Statistics: Mean, Median, Mode & Range

Statistics: Mean, Median, Mode & Range. Measures of Central Tendency. Mean - The sum of the data divided by the number of items in the data set. - Most useful when the data has no extreme values

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