M3M8D4 Have out: Bellwork: Homework, graphing calculator,

Slides:



Advertisements
Similar presentations
Your next mouse click will display a new screen.
Advertisements

Today’s Question Example: Dave gets a 50 on his Statistics midterm and an 50 on his Calculus midterm. Did he do equally well on these two exams? Big question:
AP Statistics HW: p95 22 – 24, 27 (skip part c) Obj: to understand and use a z-score and standard normal distribution Do Now: The mean monthly cost of.
Chapter 11: Random Sampling and Sampling Distributions
Quiz 5 Normal Probability Distribution.
Chapter 6.
Warm Up Solve for x 2) 2x + 80 The product of a number
Normal Distribution. Objectives The student will be able to:  identify properties of normal distribution  apply mean, standard deviation, and z -scores.
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.
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.
Some Useful Continuous Probability Distributions.
1 Percentiles of Normal Distribution Class Class Objective After this class, you will be able to - Use z-score table to find the percentile of standard.
Chapter Normal Probability Distributions 1 of © 2012 Pearson Education, Inc. All rights reserved. Edited by Tonya Jagoe.
Z Scores. Normal vs. Standard Normal Standard Normal Curve: Most normal curves are not standard normal curves They may be translated along the x axis.
Math II UNIT QUESTION: Can real world data be modeled by algebraic functions? Standard: MM2D1, D2 Today’s Question: How is a normal distribution used to.
C Del Siegle This tutorial is intended to assist students in understanding the normal curve. Adapted from work created by Del Siegle University of.
THE NORMAL DISTRIBUTION AND Z- SCORES Areas Under the Curve.
The Normal distribution and z-scores
7.2 Standard Normal Distribution Obj: Find the area under the standard normal curve and use area to find Z-scores.
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.
WELCOME TO MATH 3 Please begin reading the syllabus on your desk!
 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 & Review No office hours Thursday The Standard Normal Distribution Z-scores –A descriptive statistic that represents the distance between.
Normal Distribution. Normal Distribution Curve A normal distribution curve is symmetrical, bell-shaped curve defined by the mean and standard deviation.
Characteristics of Normal Distribution symmetric with respect to the mean mean = median = mode 100% of the data fits under the curve.
Chapter 3.3 – 3.4 Applications of the Standard Deviation and Measures of Relative Standing.
Copyright ©2011 Brooks/Cole, Cengage Learning Continuous Random Variables Class 36 1.
Normal Distribution SOL: AII
Measures of Position – Quartiles and Percentiles
The Normal Distribution
U6 - DAY 2 WARM UP! Given the times required for a group of students to complete the physical fitness obstacle course result in a normal curve, and that.
Normal Distribution.
Measuring Variability
3.5 z-scores & the Empirical Rule
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.
Describing Location in a Distribution
Advanced Placement Statistics Chapter 2.2: Normal Distributions
Given the following data
Normal Distribution.
U6 - DAY 2 WARM UP! Given the times required for a group of students to complete the physical fitness obstacle course result in a normal curve, and that.
(These will be on tomorrow’s quiz!)
Sections 5-1 and 5-2 Quiz Review Warm-Up
4/19/13 Have out: Bellwork: total:
Normal Probability Distributions
Year-3 The standard deviation plus or minus 3 for 99.2% for year three will cover a standard deviation from to To calculate the normal.
pencil, red pen, highlighter, GP notebook, graphing calculator
Start working on today’s packet.
Normal Distribution Z-distribution.
Use the graph of the given normal distribution to identify μ and σ.
4/29/13 Have out: Bellwork: assignment, graphing calculator,
Algebra 2 Ch.3 Notes Page 16 P Systems of Inequalities.
Z Scores and Percentiles
Normal Distribution SOL: AII
pencil, red pen, highlighter, GP notebook, graphing calculator
Normal Distribution SOL: AII
The Normal Distribution
pencil, red pen, highlighter, notebook, graphing calculator
pencil, highlighter, calculator, red pen, assignment
pencil, red pen, highlighter, GP notebook, graphing calculator
4/23/13 Have out: Bellwork: Homework, graphing calculator,
Module 1, Day 11 Have Out: Bellwork:
Have out: Assignment, pencil, red pen, highlighter, GP notebook, graphing calculator U3D3 Bellwork: Solve each of the following for x. 1) 2) 3) 4)
pencil, red pen, highlighter, GP notebook, graphing calculator
M3M8D6 Have out: Bellwork: assignment, graphing calculator,
M3M8D2 Have out: Bellwork:
Normal Distribution.
Algebra 2 Normal Curve Analysis Practice
Normal Distribution SOL: AII
pencil, highlighter, GP notebook, textbook, graphing calculator
Presentation transcript:

M3M8D4 Have out: Bellwork: Homework, graphing calculator, Pencil, red pen, highlighter Have out: Bellwork: 1. Draw and label a normal distribution curve, to 3 standard deviations, of an: a) IQ test with a mean of 100 and a standard deviation of 15. b) IQ test with a mean of 100 and a standard deviation of 10. 2. Ren scored a 130 on the first test, and Stimpy scored 130 on the second test. A score of 130 would be how many standard deviations from the mean on each graph? Hint:

Ren’s IQ is 2 standard deviations from the mean. +7 labeled graph 130 55 70 85 100 115 130 145 b) Ren’s IQ is 2 standard deviations from the mean. +1 +7 labeled graph Stimpy’s IQ is 3 standard deviations. +1 70 80 90 100 110 120 130 Notice one curve is wider and shorter than the other Notice that the same score is a different number of standard deviations away from the mean. Normal curve animation

Shut up you idiot! Let the teacher teach! Outliers and Z-scores Example #1: A college entrance exam has a mean score of 520 and a standard deviation of 100. Bobby scored a 670 on the exam. Label , , , and 220 320 420 520 620 720 820 Duhhh, I can help. 670 How many standard deviations is Bobby’s score from the mean? Shut up you idiot! Let the teacher teach! Any guesses? More than one… less than 2...

220 320 420 520 620 720 820 It is often useful to know how many standard deviations a data point is above or below the mean. This is called the ________. z–score Z = _________ of the data. Mean standard deviation _________ _________ of the data. 670 – 520 150 Determine Bobby’s z–score. Z = = = ____ 1.5 100 100 1.5 Therefore, Bobby scored _____ standard deviation _______ the mean. above

Z–score is the number of standard deviations above or below the mean 220 320 420 520 620 720 820 –3 –2 –1 1 2 3 670 Label the z–scores on your graph. 1.5 Z–score is the number of standard deviations above or below the mean

Example #2: Using the information from the previous problem, determine the z–score for each person’s exam. Fred: 470 Judy: 595 Jim: 300 Patty: 720 Jessica: 520 470 – 520 595 – 520 300 – 520 720 – 520 520 – 520 100 100 100 100 100 –50 75 –220 200 = = = = = 100 100 100 100 100 = –0.5 = 0.75 = –2.2 = 2 = 0 Jim: -2.2 Fred: -0.5 Jessica: 0 Judy: 0.75 Patty: 2 220 320 420 520 620 720 820 –3 –2 –1 1 2 3

Jessica: 0 Jim: -2.2 Fred: -0.5 Judy: 0.75 Patty: 2 220 320 420 520 620 720 820 –3 –2 –1 1 2 3 Jim Who is the farthest from the mean? ___________ Scores above the mean have __________ z–scores. Scores below the mean have __________ z–scores. A score equal to the mean has a z–score of ______. positive negative

Example #3: The times (in seconds) for a PE class to run the ¼ mile are listed below. Record the times into L1. First, determine = ______ and 75 = ______, then label 11.72 , , , and below. 39.84 51.56 63.28 75 86.72 98.44 110.16 –3 –2 –1 1 2 3 TIMES: 58, 102, 65, 70, 68, 75, 81, 84, 79, 68

Find the z–score for each time using LIST ALGEBRA. –1.45 Student # Time (seconds) Z – score 1 58 2 102 3 65 4 70 5 68 6 75 7 81 8 84 9 79 10 L2 Find the z–score for each time using LIST ALGEBRA. –1.45 2.30 Use: 1–variable statistics: –0.85 STAT CALC 1–VAR STATS –0.43 –0.597 LIST MATH MEAN ( … 0.51 vars 5:statistics 4: σx STO  0.77 0.34 L2 –0.597

Which student is the farthest from the mean? L2 #2 –1.45 Time (seconds) Z – score 1 58 2 102 3 65 4 70 5 68 6 75 7 81 8 84 9 79 10 Which student is the farthest from the mean? L2 #2 –1.45 Student # ___ is _____ standard deviations ______ the mean. 2 2.3 2.30 above –0.85 However, in this case, above the mean is _____ desirable. not –0.43 Outliers - Generally, if a point is more than ___ standard deviations above or below the mean, it is considered an _________. –0.597 2 outlier 0.51 Is this student an outlier? 0.77 Yes, the student is more than 2 standard deviations from the mean. 0.34 –0.597

Practice: 1. Mrs. Windham gave a test in her Algebra 2 class. The scores were normally distributed with a mean of 80 and a standard deviation of 7. Label , , , and . 59 66 73 80 87 94 101 –3 –2 –1 1 2 3 a) If Melissa has a raw score of 92, what is her z–score? b) If Aiden has a raw score of 71, what is his z–score? c) If Malique has a raw score of 60, what is his z–score? 92 – 80 71 – 80 60 – 80 7 7 7 12 -9 -20 = ≈ 1.71 = ≈ –1.29 = ≈ –2.86 7 7 7

59 66 73 80 87 94 101 –3 –2 –1 1 2 3 d) Lee’s z–score was 1.43. Find his raw score on the test. e) Amanda’s z–score was –0.72. Find her raw score on the test. x – 80 x – 80 1.43 = – 0.72 = 7 7 x – 80 = 7(1.43) x – 80 = 7(–0.72) x – 80 = 10.01 x – 80 = –5.04 x = 74.96 x = 90.01 x ≈ 90 x ≈ 75 f) Which students are outliers in the above problem? Malique is an outlier since he is 2σ from the mean.

The standard deviation is greater in Graph B than in Graph A. 2. The mean for each normal curve is given below, but the standard deviation is not given. Based on the graphs, how do the standard deviations compare between both graphs? Graph A Graph B The standard deviation is greater in Graph B than in Graph A. A larger standard deviation “stretches” the graph. We can also say that the data in Graph B is more spread out than in Graph A.

Here is your assignment! TAKE HOME QUIZ #1 DUE tomorrow!