Advanced Math Topics 3.8 Z-Scores. Two brothers are in different math classes. Their most recent test scores are shown in orange while their class is.

Slides:



Advertisements
Similar presentations
Measures of Position Section 3.4.
Advertisements

Objectives The student will be able to:
Get out your Test Corrections! (and test corrections go on the back table under your class period) You will be able to determine a percentile. You will.
Normal Distributions: Finding Values
Statistics for the Social Sciences
Z - SCORES standard score: allows comparison of scores from different distributions z-score: standard score measuring in units of standard deviations.
Slides by JOHN LOUCKS St. Edward’s University.
Standard Normal Distribution The Classic Bell-Shaped curve is symmetric, with mean = median = mode = midpoint.
z-Scores What is a z-Score? How Are z-Scores Useful? Distributions of z-Scores Standard Normal Curve.
Chapter 6 Normal Probability Distributions
Learning Objectives In this chapter you will learn about the importance of variation how to measure variation range variance standard deviation.
12.3 – Measures of Dispersion
Section 5.4 Normal Distributions Finding Values.
Quiz 5 Normal Probability Distribution.
Copyright © Cengage Learning. All rights reserved. 6 Normal Probability Distributions.
Working with one variable data. Spread Joaquin’s Tests Taran’s Tests: 76, 45, 83, 68, 64 67, 70, 70, 62, 62 What can you infer, justify and conclude about.
12.4 – Measures of Position In some cases, the analysis of certain individual items in the data set is of more interest rather than the entire set. It.
T-test Mechanics. Z-score If we know the population mean and standard deviation, for any value of X we can compute a z-score Z-score tells us how far.
AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of.
The Normal Distribution The “Bell Curve” The “Normal Curve”
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.
Chapter 3 Averages and Variations
Advanced Math Topics Chapter 8 Review Olympics. One sheet per player Make an answer column on the left hand side of your sheet Work together to solve.
Chapter 9 – 1 Chapter 6: The Normal Distribution Properties of the Normal Distribution Shapes of Normal Distributions Standard (Z) Scores The Standard.
Topic 3 Z-Scores Unit 5 Topic 3. Explore Lindsay’s class wrote three diploma examinations. The results are shown in the table below. Relative to the other.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
Describing Location in a Distribution. Measuring Position: Percentiles Here are the scores of 25 students in Mr. Pryor’s statistics class on their first.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
§ 5.4 Normal Distributions: Finding Values. Finding z-Scores Example : Find the z - score that corresponds to a cumulative area of z
All About Pizza. Questions #1 Americans eat approximately how much pizza per day? A. 100 slices per second B. 150 slices per second C. 275 slices per.
1 Psych 5500/6500 Standard Deviations, Standard Scores, and Areas Under the Normal Curve Fall, 2008.
 z – Score  Percentiles  Quartiles  A standardized value  A number of standard deviations a given value, x, is above or below the mean  z = (score.
Review Ways to “see” data –Simple frequency distribution –Group frequency distribution –Histogram –Stem-and-Leaf Display –Describing distributions –Box-Plot.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 6 Probability Distributions Section 6.2 Probabilities for Bell-Shaped Distributions.
5 Minute Check Find the mean, median and mode of the data sets. Round to the tenth. Complete in your notebook
1 Lecture 3 Outline 1. Chebyshev’s Theorem 2. The Empirical Rule 3. Measures of Relative Standing 4. Examples.
IE(DS)1 Many of the measures that are of interest in psychology are distributed in the following manner: 1) the majority of scores are near the mean 2)
Chapter 3.3 Measures of Position. Standard Score  A comparison that uses the mean and standard deviation is called a standard score or a z-score  A.
Normal Distributions: Finding Values Larson/Farber 4th ed1.
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
Z-Score Review To translate a raw score into a z score (ex: what is the chance of finding a clerk who makes a particular income of 16k per year). We look.
Summary Statistics: Measures of Location and Dispersion.
THE NORMAL DISTRIBUTION AND Z- SCORES Areas Under the Curve.
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.
Advanced Math Topics Chapter 3 Review Please round all answers to the nearest hundredth and make an answer column, just like the test tomorrow!
The Normal distribution and z-scores
7.4 Use Normal Distributions p Warm-Up From Page 261 (Homework.) You must show all of your work for credit 1.) #9 2.) #11.
© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 5. Measuring Dispersion or Spread in a Distribution of Scores.
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.
Notes 5.1 Measures of Central Tendency A measure of central tendency is a single number that is used to represent a set of data. Measures of central tendency.
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.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
2.5 Normal Distributions and z-scores. Comparing marks Stephanie and Tavia are both in the running for the Data Management award. Stephanie has 94% and.
Statistics.  Percentiles ◦ Divides a data set into 100 equal parts  A score of 1700 on the SAT puts students in the 72 nd Percentile. ◦ 72% score 1700.
Unit 6 Section 5.3 – Day 2.
Z-Scores. Histogram A bar chart of a frequency distribution. 0 — 2 1 — 3 2 — 0 3 — 2 4 — 4 5 — 3 6 — 3 7 — 5 8 — 3 9 — 2 10—2.
 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)
Chapter 3 Descriptive Statistics: Numerical Methods.
Chapter 3.3 – 3.4 Applications of the Standard Deviation and Measures of Relative Standing.
Up to now, our discussion of the normal distribution has been theoretical. We know how to find the area under the normal bell curve using the normalcdf.
Statistics III. Opening Routine ( cont. ) Opening Routine ( 10 min) 1- How many total people are represented in the graph below?
Normal Probability Distributions Chapter 5. § 5.3 Normal Distributions: Finding Values.
Check it out! : Assessing Normality.
Chapter 5 Normal Probability Distributions.
Data Tables Packet #19.
Advanced Math Topics Review of Chapters 2 and 3.
Normal Probability Distributions
Statistics 5/19/2019.
Chapter 5 Normal Probability Distributions.
Objectives The student will be able to:
Presentation transcript:

Advanced Math Topics 3.8 Z-Scores

Two brothers are in different math classes. Their most recent test scores are shown in orange while their class is shown in yellow. 12, 15, 17, 17, 22, 24, 27, 31, 32, 32, 34, 39, 39, 40, 40 65, 72, 73, 73, 74, 74, 75, 75, 76, 76, 77, 78, 78, 79, 80 What are their percentile ranks? The first brother is in the 80 th percentile. The second brother is in the 80 th percentile. Which brother is the stronger student relative to his class? Although they have the same percentile rank, the first brother scored a lot higher than many of his fellow classmates. The second brother scored slightly higher than most of his classmates. Percentile rank shows the percentage of students the brothers scored above, but a z-score will reflect the discrepancy from the brother’s scores to everyone else’s score.

z-score of x = X – X s What would your z-score be if your grade was equal to the mean? Zero What type of # would your z-score be if your grade was less than the mean? Negative What type of # would your z-score be if your grade was more than the mean? Positive Thus, the higher your z-score, the better you scored relative to the other scores!

New York rated its top 5 pizza companies and San Francisco did the same, but they used different scales. A high score shows that people enjoyed the pizza. The results are: BrandNY Rating David’s 1 Mama Mia’s 10 Papa John’s15 Round Table 21 Pizza Time28 BrandSF Rating Domino’s 25 Pizza Hut35 Zachary’s45 Mt. Mike’s50 Pavlo’s70 Which brand has the least taste appeal? At first glance, David’s seems to be the lowest. But since there were different scales and other relative scores to consider, we must find the z-score. z-score of x = X – X s x = 1545 s = David’s z-score = 1 – = Domino’s z-score = 25 – = The worst rated pizzeria was David’s because it has the lowest z-score. It stands for how many standard deviations The score is from the mean.

BrandNY Rating David’s 1 Mama Mia’s 10 Papa John’s15 Round Table 21 Pizza Time28 BrandSF Rating Domino’s 25 Pizza Hut35 Zachary’s45 Mt. Mike’s50 Pavlo’s70 x = 1545 s = Which brand has the greatest taste appeal? Pizza Time z-score = 28 – = 1.26 Pavlo’s z-score = 70 – = 1.47 The best rated pizzeria was Pavlo’s because it has the highest z-score. 3 Rows Closest to the window: Find the z-score for Pizza Time. 3 Rows Closest to the door: Find the z-score for Pavlo’s.

BrandNY Rating David’s 1 Mama Mia’s 10 Papa John’s15 Round Table 21 Pizza Time28 BrandSF Rating Domino’s 25 Pizza Hut35 Zachary’s45 Mt. Mike’s50 Pavlo’s70 Z-score Z-score What do you notice? Sum = 0Sum = It is not 0 because of rounding. In any distribution, the sum of the z-scores is 0.

Together: Look at Example #1 on P. 153 and Example #3 on P. 155 HW: P. 156 #1-5, 7 #3 Answer: a) Lake D, 1.41 b) Lake S, The back of book has different #’s because they computed with a population formula rather than a sample formula, which gives slightly different data