A step-by-step walkthrough

Slides:



Advertisements
Similar presentations
The Sample Standard Deviation. Example Let’s jump right into an example to think about some ideas. Let’s think about the number of Big Mac sandwiches.
Advertisements

Variability Measures of spread of scores range: highest - lowest standard deviation: average difference from mean variance: average squared difference.
Beginning Decimals. Decimal means ten One tenth 1 / Two tenths 2 / Three tenths 3 / Four tenths 4 / Five tenths 5 /
Exponents Scientific Notation
Translating Word Phrases into Algebraic Expressions or Equations
Objectives The student will be able to: find the variance of a data set. find the standard deviation of a data set. SOL: A
Divisibility Rules How do we know when we can divide one number into another exactly?
Chapter 2 Describing distributions with numbers. Chapter Outline 1. Measuring center: the mean 2. Measuring center: the median 3. Comparing the mean and.
Place Value & Rounding Review. Place Value For the number 2, : The 2 is in the ___ place. The 6 is in the ___ place. The 4 is in the ___ place.
Thinking Rationally about Decimals through the use of Base Ten Blocks
 The data set below gives the points per game averages for the 10 players who had the highest averages (minimum 70 games or 1400 points) during the
Chapter 12, Part 2 STA 291 Summer I Mean and Standard Deviation The five-number summary is not the most common way to describe a distribution numerically.
Significant Figures Not all numbers matter…. Significant Figures Definition: Digits of a number that are relevant when doing mathematical calculation.
Proportions Round One 2) x + 3 = 15 Answers 2.) x + 3 = 15 X=12 21.
Although the 5 number summary is very useful for describing a data set, it is not the most widely used. The most common measures are the mean for the center.
Educ 200C Wed. Oct 3, Variation What is it? What does it look like in a data set?
Standard Deviation Lecture 18 Sec Tue, Feb 15, 2005.
Objectives The student will be able to:
Standard Deviation A Measure of Variation in a set of Data.
Prepared by: Nurazrin Jupri. differences will be large differences will be small MATH0102|Nurazrin Jupri.
Week 1 Make a Maths question using one of these words.Ask your question to another student.Discuss what these words mean.
Chapter 1 Lesson 7 Variance and Standard Deviation.
Normal Distribution Students will be able to: find the variance of a data set. find the standard deviation of a data set. use normal distribution curve.
Standard Deviation, Z- Scores, Variance ALGEBRA 1B LESSON 42 INSTRUCTIONAL MATERIAL 2.
INTRODUCTION TO STATISTICS
Basic Math Skills Workshop
Rounding Decimals 5.NBT.4.
Objectives The student will be able to:
Objectives The student will be able to:
Exponents Scientific Notation
Divisibility Rules.
Introduction to Summary Statistics
1.6 – Calculating with Significant Figures
Introduction to Summary Statistics
Characteristics of the Mean
Introduction to Summary Statistics
CLAST Arithmetic by Joyce
Introduction to Summary Statistics
Standard Deviation Calculate the mean Given a Data Set 12, 8, 7, 14, 4
Introduction to Summary Statistics
11.1 Measures of Center and Variation
Standard form L.O. To know what standard form is and convert from ordinary numbers. To perform calculations involving standard form.
Objectives The student will be able to:
Law of Large Numbers Means and STDs
Beginning Decimals. Decimal means ten One tenth 1 / Two tenths 2 / Three tenths 3 / Four tenths 4 / Five tenths 5 /
Learning Targets I can: find the variance of a data set.
Introduction to Summary Statistics
THE BUSY BEE BAŞLA The bee is very busy learning the numbers. Help her with the matching.
Objectives The student will be able to: find the standard deviation of a data set.
Objective - To add and subtract decimals.
What does the following mean?
Introduction to Summary Statistics
Standard Deviation How many Pets?.
Mean & Standard Deviation
Divisibility Rules.
Test 2 Review The test will consist of 3 sections.
Introduction to Summary Statistics
Objectives The student will be able to:
Decimals - ordering and rounding
DESCRIPTIVE STATISTICS QUIZ
Standard Deviation!.
Objectives The student will be able to:
Introduction to Summary Statistics
Beginning Decimals.
Statistics 5/19/2019.
Finding square root of imperfect square
Beginning Decimals.
Calculating Standard Deviation
Standard Deviation.
ELEMENTARY STATISTICS, BLUMAN
Presentation transcript:

A step-by-step walkthrough Standard deviation A step-by-step walkthrough

Set up Take a set of numbers, any set of numbers, it doesn’t matter if they are inches or kilometers, ounces or ages, weights or heights, as long as they are all heights, or all ages, or all basketball scores. It also does not matter what order they are arranged in, the just have to be numbers that are in some way or another related to each other. In this case, we will use the numbers: 22, 15, 35, 24, 15, 40, 49, 20, 28, 38. We can denote this as a set: Set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 }. Each number in the set is an observation. Since there are ten numbers, there are ten observations.

Standard deviation: step one: finding the mean The MEAN is a mathematical term synonymous with arithmetic average. To take a mean, we add up all of the numbers and divide by the number of observation. In this case, we will use the same set. Set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 }. First, we add the numbers together: 22 + 15 + 35 + 24 + 15 + 40 + 49 + 20 + 28 + 38 = 286 Then, we divide by the number of observations, which we have already determined is ten. 286 = 28.6 10 The MEAN of the set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } is 28.6.

Standard deviation: step two: calculating deviations Let’s order the set vertically to make it easier: The deviation is the difference between the observation and the mean. To find the deviations, subtract the mean from each observation: observation – mean = deviation. Observations Mean Deviation 22 – = 15 – = 35 – = 24 – = 15 – = Try it before I give you the answers. Then match your answers with mine on the next two slides. 40 – = 49 – = 20 – = 28 – = 38 – =

Standard deviation: step two: calculating deviations Let’s order the set vertically to make it easier: The deviation is the difference between the observation and the mean. To find the deviations, subtract the mean from each observation: observation – mean = deviation. Observations Mean Deviation 22 28.6 – = 15 28.6 – = 35 28.6 – = 24 28.6 – = 15 28.6 – = Try it before I give you the answers. Then match your answers with mine on the next slides. Remember: You the last digits of the deviations should come up with complimentary numbers such as: 4 & 6, 8 & 2, or 5 & 5. 40 28.6 – = 49 28.6 – = 20 28.6 – = 28 28.6 – = 38 28.6 – =

Standard deviation: step two: calculating deviations Let’s order the set vertically to make it easier: The deviation is the difference between the observation and the mean. observation – mean = deviation. Observations Mean Deviation 22 28.6 – -6.6 = 15 28.6 = -13.6 – So, the deviations for set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } are: -6.6, -13.6, 6.4, -4.6, -13.6, 11.4, 20.4, -8.6, -0.6, and 9.4. 35 28.6 = 6.4 – 24 28.6 = -4.6 – 15 28.6 -13.6 – = 40 28.6 – = 11.4 49 28.6 – = 20.4 20 28.6 – = -8.6 28 28.6 -0.6 – = 38 28.6 9.4 – =

Standard deviation: step three: squaring deviations Deviation Squared The next step is to square the deviations: deviation2 = deviation • deviation Deviation Deviation -6.6 -6.6 • = -13.6 -13.6 = • So, the deviations for set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } are: -6.6, -13.6, 6.4, -4.6, -13.6, 11.4, 20.4, -8.6, -0.6, and 9.4. 6.4 6.4 • = -4.6 -4.6 • = -13.6 • -13.6 = 11.4 11.4 • = 20.4 20.4 Try it before I give you the answers. Then match your answers with mine on the next slide. Remember: After you square the deviations, they should all end in the same number. • = -8.6 -8.6 • = -0.6 -0.6 • = 9.4 9.4 • =

Standard deviation: step three: squaring deviations Deviation Squared The next step is to square the deviations: deviation2 = deviation • deviation Deviation Deviation -6.6 -6.6 43.56 • = -13.6 -13.6 184.96 = • So, the deviations for set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } are: -6.6, -13.6, 6.4, -4.6, -13.6, 11.4, 20.4, -8.6, -0.6, and 9.4. 6.4 6.4 40.96 • = -4.6 -4.6 21.16 • = -13.6 -13.6 184.96 • = 11.4 11.4 129.96 • = 20.4 20.4 416.16 Try it before I give you the answers. Then match your answers with mine on the next slide. Remember: After you square the deviations, they should all end in the same number. • = -8.6 -8.6 73.96 • = -0.6 -0.6 3.6 • = 9.4 9.4 88.36 • =

Standard deviation: step FOur: sum the squared deviations Deviation Squared The next step is to sum the squared deviations: This simply means to add them together. 43.56 184.96 40.96 21.16 184.96 129.96 416.16 Try it before I give you the answers. Then match your answers with mine on the next slide. 73.96 .36 88.36

Standard deviation: step FOur: sum the squared deviations Deviation Squared The next step is to sum the squared deviations: This simply means to add them together. 43.56 184.96 40.96 21.16 184.96 129.96 416.16 73.96 .36 88.36 1,184.40

Standard deviation: step Five: divide the sum by one less than the observations The next step is to divide the sum by one less than the number of observations. The result is called the variance: Since there are ten observations, this means dividing the sum by nine: 1,184.40 = 294.28 n – 1 = 9, since n = 10, 10 – 1 = 9 9 Try it before I give you the answers. Then match your answers with mine on the next slide.

Standard deviation: step Five: divide the sum by one less than the observations The next step is to divide the sum by one less than the number of observations. The result is called the variance: Since there are ten observations, this means dividing the sum by nine: 1,184.40 = 294.28 n – 1 = 9, since n = 10, 10 – 1 = 9 9

Standard deviation: step six: take the square root of the variance The next step is to take the square root of the variance: 𝟐𝟗𝟒.𝟐𝟖 = Try it before I give you the answers. Then match your answers with mine on the next slide.

Standard deviation: step six: take the square root of the variance The next step is to take the square root of the variance: 𝟐𝟗𝟒.𝟐𝟖 17.2708458 = This is the standard deviation. At this point it is fine to round to the second decimal. 17.2708458 ≈ 17.27 The standard deviation of the set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } is ≈ 17.27

≈ Summary 17.27 Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 To find the standard deviation of the set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } Step 1 Find the mean. Step 2 Determine the deviations. Step 3 Square the deviations. Step 4 Sum the deviations-squared. Step 5 Divide the sum of the deviations-squared by one less than the number of observations. Step 6 Take the square-root of the result. ≈ 17.27 Step 7 The result of the square root is the standard deviation. To find the standard deviation of the set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 }

challenge Try to find the standard deviation of the set = { 22, 15, 35, 24, 15, 40, 49, 20, 28, 38 } until you get it right every time.