EQ: How is the standard deviation computed and used?

Slides:



Advertisements
Similar presentations
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 5- 1.
Advertisements

DESCRIBING DISTRIBUTION NUMERICALLY
The mean for quantitative data is obtained by dividing the sum of all values by the number of values in the data set.
Copyright © 2010 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data.
Copyright © 2009 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data.
Measures of Variability or Dispersion Range - high and lows. –Limitations: Based on only two extreme observations Interquartile range - measures variablility.
§ 14.3 Numerical Summaries of Data
Distribution Summaries Measures of central tendency Mean Median Mode Measures of spread Standard Deviation Interquartile Range (IQR)
AP Stats BW 9/16 You are going to buy a battery for your video camera. You have 2 companies to choose from and they both claim their batteries will last.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
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.
Objectives The student will be able to: find the variance of a data set. find the standard deviation of a data set.
Copyright © 2010 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data.
1 Chapter 4 Displaying and Summarizing Quantitative Data.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 5 Describing Distributions Numerically.
Numerical descriptors BPS chapter 2 © 2006 W.H. Freeman and Company.
Math 15 – Elementary Statistics Chapter 5 – Part 2 Summarizing Data Numerically.
AP Statistics HW: p #39, 43,44, 45 Lab due next class Obj: to use variance and standard deviation Do Now: 1.Make a modified box plot for the # of.
Understanding and Comparing Distributions Ch. 5 Day 1 Notes AP Statistics EQ: How do we make boxplots and why? How do we compare distributions?
Variability Introduction to Statistics Chapter 4 Jan 22, 2009 Class #4.
+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Chapter 1 Lesson 7 Variance and Standard Deviation.
BOXPLOTS BOXPLOTS and more numerical distributions chapter 5 (you’ll want a calculator today!)
+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Welcome to Week 03 Tues MAT135 Statistics
CHAPTER 1 Exploring Data
5-Number Summaries, Outliers, and Boxplots
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Describing Distributions Numerically
Summary of Prev. Lecture
Warm Up What is the mean, median, mode and outlier of the following data: 16, 19, 21, 18, 18, 54, 20, 22, 23, 17 Mean: 22.8 Median: 19.5 Mode: 18 Outlier:
Objective: Given a data set, compute measures of center and spread.
Reasoning in Psychology Using Statistics
Descriptive Statistics: Presenting and Describing Data
Do-Now-Day 2 Section 2.2 Find the mean, median, mode, and IQR from the following set of data values: 60, 64, 69, 73, 76, 122 Mean- Median- Mode- InterQuartile.
Chapter 3.
Standard Deviation Calculate the mean Given a Data Set 12, 8, 7, 14, 4
Chapter 5: Describing Distributions Numerically
Please take out Sec HW It is worth 20 points (2 pts
Warmup What is the shape of the distribution? Will the mean be smaller or larger than the median (don’t calculate) What is the median? Calculate the.
1.2 Describing Distributions with Numbers
Honors Statistics Day 4 Objective: Students will be able to understand and calculate variances and standard deviations. As well as determine how to describe.
AP Statistics Day 5 Objective: Students will be able to understand and calculate variances and standard deviations.
Describing Quantitative Data with Numbers
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Summary (Week 1) Categorical vs. Quantitative Variables
Summary (Week 1) Categorical vs. Quantitative Variables
Describing Distributions Numerically
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
The Five-Number Summary
Chapter 1: Exploring Data
Measures of Variability
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Compare and contrast histograms to bar graphs
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Presentation transcript:

EQ: How is the standard deviation computed and used? Ch. 4 Day 3 AP Statistics EQ: How is the standard deviation computed and used?

Standard Deviation It measures the SPREAD of the data. Variance = (Std. Dev)² Find it on your formula sheet!!!!!!!!!

Formula 𝑆 𝑥 = 1 𝑛−1 𝑥− 𝑥 2

If many data values are scattered far from the center, the IQR and the standard deviation will be __________. If the data values are close to the center, these measure of spread will be __________. larger smaller

Squared Deviations (xi-x)² Finding Σ(xi-x)² You must show this by hand for now  Fill out the table (let your calc help you!) Observations xi Deviations xi-x Squared Deviations (xi-x)² LIST 1 LIST 2 LIST 3

Finding Standard Deviation What do you have to show? Calculate 𝑥 Fill in Σ( 𝑥 𝑖 − 𝑥 )² Let your calculator give you that value, SUM OF L3! Fill in 1 𝑛−1 Are you looking for v or s? If v, then leave alone If s, then take the square root

Find the standard deviation of the test scores of 15 employees enrolled in a CPR class: 13 9 18 15 14 21 7 10 11 20 5 18 37 16 17 𝑺 𝒙 ≈𝟕.𝟔𝟏

What does the standard deviation tell us about our data set?

Annual Number of Deaths from Tornados in the US 53 39 33 69 30 25 67 94 40 Find the standard deviation.

What Can Go Wrong? Don’t forget to do a reality check. Don’t forget to sort the values before finding the median or percentiles. Don’t compute numerical summaries of a categorical value. Watch out for multiple modes. Be aware of slightly different methods.

Beware of outliers. Make a picture!! Be careful when comparing groups that have very different spreads.

Homework P. 72 #16, 29, 30, 48