1 2.4 (cont.) Using the Mean and Standard Deviation Together 68-95-99.7 rule z-scores.

Slides:



Advertisements
Similar presentations
The Standard Deviation as a Ruler and the Normal Model.
Advertisements

Warm-Up Grab a sheet of multiple choice questions and work on those!
Chapter 6 The Standard Deviation as a Ruler and the Normal Model
A frequency table is an organized count of items or values. In its simplest form a frequency table shows how frequently each particular value occurs in.
How do I use normal distributions in finding probabilities?
2-5 : Normal Distribution
PY 427 Statistics 1Fall 2006 Kin Ching Kong, Ph.D Lecture 3 Chicago School of Professional Psychology.
Measures of Spread The Range, Variance, and Standard Deviation.
Statistics Intro Univariate Analysis Central Tendency Dispersion.
Statistics Intro Univariate Analysis Central Tendency Dispersion.
Lecture 8: z-Score and the Normal Distribution 2011, 10, 6.
Did you know ACT and SAT Score are normally distributed?
Warm-up 2.5 The Normal Distribution Find the missing midpoint values, then find mean, median and standard deviation.
Normal Distributions Review
Deviation = The sum of the variables on each side of the mean will add up to 0 X
1 Chapter 6 The Standard Deviation and the Normal Model.
Standard Deviation. Two classes took a recent quiz. There were 10 students in each class, and each class had an average score of 81.5.
1 Chapter 6 Part 1 Using the Mean and Standard Deviation Together z-scores rule Changing units (shifting and rescaling data)
Chapter 5 Z-Scores. Review ► We have finished the basic elements of descriptive statistics. ► Now we will begin to develop the concepts and skills that.
In 2009, the mean mathematics score was 21 with a standard deviation of 5.3 for the ACT mathematics section. ReferenceReference Draw the normal curve in.
An Introduction to Making Inferences. descriptive statistics – summarize important characteristics of known population data inferential statistics – we.
Figure 4.6 (page 119) Typical ways of presenting frequency graphs and descriptive statistics.
Normal Distribution MATH 102 Contemporary Math S. Rook.
Section 2.5 The Normal Distribution.  68% of values lie within 1 SD of the mean.  Including to the right and left  90% of the values lie with
STA Lecture 131 STA 291 Lecture 13, Chap. 6 Describing Quantitative Data – Measures of Central Location – Measures of Variability (spread)
AP STATS EXAM REVIEW Chapter 2 Chapter 6Chapter 5Chapter 3 and Chapter 4 Chapter 1.
Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
Essential Statistics Chapter 31 The Normal Distributions.
Chapt. 6 The Standard Deviation and the Normal Model Standardizing It makes possible to compare values that are measured on different scales with different.
Thinking Mathematically Statistics: 12.5 Problem Solving with the Normal Distribution.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
Copyright © 2009 Pearson Education, Inc. Chapter 6 The Standard Deviation As A Ruler And The Normal Model.
Univariate Distributions Overview. I. Exploring Data Describing patterns and departures from patterns (20%-30%) Exploring analysis of data makes use of.
7.1 – Discrete and Continuous Random Variables
The Standard Deviation as a Ruler and the Normal Model
Educ 200C Wed. Oct 3, Variation What is it? What does it look like in a data set?
Chapter 6 The Standard Deviation as a Ruler and the Normal Model Math2200.
Normal Distributions. Density Curve A density curve is a smooth function meant to approximate a histogram. A density curve is a smooth function meant.
What is Mean Absolute Deviation?  Another measure of variability is called the mean absolute deviation. The mean absolute deviation (MAD) is the average.
Slide Chapter 2d Describing Quantitative Data – The Normal Distribution Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Chapter 3 Descriptive Statistics: Graphical and Numerical Summaries of Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: n 1)Construct.
What if.... You recently finished taking a test that you received a score of 90 It was out of 200 points The highest score was 110 The average score was.
Chapter 5 The Standard Deviation as a Ruler and the Normal Model.
Standard Deviation. Two classes took a recent quiz. There were 10 students in each class, and each class had an average score of 81.5.
3.5 Applying the Normal Distribution – Z Scores Example 1 Determine the number of standard deviations above or below the mean each piece of data is. (This.
Normal Probability Distributions. Intro to Normal Distributions & the STANDARD Normal Distribution.
 A standardized value  A number of standard deviations a given value, x, is above or below the mean  z = (score (x) – mean)/s (standard deviation)
Z-Scores Quantitative Methods in HPELS HPELS 6210.
Suppose you take the SAT test and the ACT test. Not using the chart they provide, can you directly compare your SAT Math score to your ACT math score?
1 Standard Normal Distribution Curve Standard Score.
Chapter 6 (part 2) WHEN IS A Z-SCORE BIG? NORMAL MODELS A Very Useful Model for Data.
Characteristics of Normal Distribution symmetric with respect to the mean mean = median = mode 100% of the data fits under the curve.
Estimation Whole numbers, Sums, Differences, Products, and Quotients.
Numerical Summaries of Quantitative Data. Means, Standard Deviations, z-scores.
1 Chapter 5 Part 1 Using the Mean and Standard Deviation Together z-scores rule Changing units (shifting and rescaling data)
The Normal Distributions.  1. Always plot your data ◦ Usually a histogram or stemplot  2. Look for the overall pattern ◦ Shape, center, spread, deviations.
Chapter 6 Part 1 Using the Mean and Standard Deviation Together
CHAPTER 2 Modeling Distributions of Data
Knowing your math operation terms
Summation Algebra Proofs
The Normal Distribution…
MEAN ABSOLUTE DEVIATION *MAD*.
WARM – UP Find the z-scores for the following observations:
Mean Absolute Deviation
Mean Absolute Deviation
AP Statistics Chapter 16 Notes.
2.1 Measures of Relative Standing
Combining Random Variables
Mean Absolute Deviation
Math 10, Spring 2019 Introductory Statistics
Presentation transcript:

1 2.4 (cont.) Using the Mean and Standard Deviation Together rule z-scores

rule Mean and Standard Deviation (numerical) Histogram (graphical) rule

3 The rule; applies only to mound-shaped data

rule: 68% within 1 stan. dev. of the mean 68% 34% y-s y y+s

rule: 95% within 2 stan. dev. of the mean 95% 47.5% y-2s y y+2s

6 Example: textbook costs

7 Example: textbook costs (cont.)

8 Example: textbook costs (cont.)

9 Example: textbook costs (cont.)

10 The best estimate of the standard deviation of the men’s weights displayed in this dotplot is

12 Z-scores: Standardized Data Values Measures the distance of a number from the mean in units of the standard deviation

13 z-score corresponding to y

14 n Exam 1: y 1 = 88, s 1 = 6; exam 1 score: 91 Exam 2: y 2 = 88, s 2 = 10; exam 2 score: 92 Which score is better?

15 Comparing SAT and ACT Scores n SAT Math: Eleanor’s score 680 SAT mean =500 sd=100 n ACT Math: Gerald’s score 27 ACT mean=18 sd=6 n Eleanor’s z-score: z=( )/100=1.8 n Gerald’s z-score: z=(27-18)/6=1.5 n Eleanor’s score is better.

16 Z-scores add to zero Student/Institutional Support to Athletic Depts For the 9 Public ACC Schools: 2013 ($ millions) SchoolSupporty - ybarZ-score Maryland UVA Louisville UNC VaTech FSU GaTech NCSU Clemson Mean=9.1000, s= Sum = 0

17 In the mean tuition at 4-yr public colleges/universities in the U.S. was $6185 with a standard deviation of $1804. In NC the mean tuition was $4320. What is NC’s z-score?

18 End of Section 2.4