STATISTICS AND PROBABILITY CHAPTER 4. STAT. & PROBABILITY 4.1 Sampling, Line, Bar and Circle Graphs 4.2 The Mean, Median and Mode 4.3 Counting Problems.

Slides:



Advertisements
Similar presentations
Learning Objectives In this chapter you will learn about measures of central tendency measures of central tendency levels of measurement levels of measurement.
Advertisements

© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 4. Measuring Averages.
Chapter 6 Random Variables
Business Math, Eighth Edition Cleaves/Hobbs © 2009 Pearson Education, Inc. Upper Saddle River, NJ All Rights Reserved 7.1 Measures of Central Tendency.
Chapter 11 Data Descriptions and Probability Distributions
Chapter 3: Central Tendency
1 Measures of Central Tendency Greg C Elvers, Ph.D.
Chapter 4 Measures of Central Tendency
Measures of Central Tendency
Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately describes the center of the.
Mode Mean Range Median WHAT DO THEY ALL MEAN?.
Fall 2013 Lecture 5: Chapter 5 Statistical Analysis of Data …yes the “S” word.
Section 4-3 The Addition Rule. COMPOUND EVENT A compound event is any event combining two or more simple events. NOTATION P(A or B) = P(in a single trial,
Measures of Central Location (Averages) and Percentiles BUSA 2100, Section 3.1.
Lecture Slides Elementary Statistics Twelfth Edition
Chapter 22 Business Statistics McGraw-Hill/Irwin Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved.
BUS250 Seminar 4. Mean: the arithmetic average of a set of data or sum of the values divided by the number of values. Median: the middle value of a data.
PPA 501 – Analytical Methods in Administration Lecture 5a - Counting and Charting Responses.
Thinking About Psychology: The Science of Mind and Behavior 2e Charles T. Blair-Broeker Randal M. Ernst.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5.
Descriptive Statistics: Numerical Methods
Chapter 22 Business Statistics McGraw-Hill/Irwin Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved.
1 Weather forecast Psychology Games Sports Chapter 3 Elementary Statistics Larson Farber Probability Business Medicine.
Lecture 5: Chapter 5: Part I: pg Statistical Analysis of Data …yes the “S” word.
Chapter 4 – 1 Chapter 4: Measures of Central Tendency What is a measure of central tendency? Measures of Central Tendency –Mode –Median –Mean Shape of.
AP Psychology September What is “Statistics”?  A common language for describing, organizing, and interpreting data  Aspects:  Distribution 
1 Elementary Statistics Larson Farber Descriptive Statistics Chapter 2.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Thinking Mathematically
Statistics- a branch of mathematics that involves the study of data The purpose of statistical study is to reach a conclusion or make a decision about.
Measures of Central Tendency: The Mean, Median, and Mode
Chapter 2 Means to an End: Computing and Understanding Averages Part II  igma Freud & Descriptive Statistics.
Part II  igma Freud & Descriptive Statistics Chapter 2 Means to an End: Computing and Understanding Averages.
Chapter 9 Statistics.
Central Tendency & Dispersion
Class 2 Probability Theory Discrete Random Variables Expectations.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Data Summary Using Descriptive Measures Sections 3.1 – 3.6, 3.8
Chapter 6 Lecture 3 Sections: 6.4 – 6.5. Sampling Distributions and Estimators What we want to do is find out the sampling distribution of a statistic.
Sampling Measures Of Central Tendency SymbolsProbability Random Stuff.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Anthony J Greene1 Central Tendency 1.Mean Population Vs. Sample Mean 2.Median 3.Mode 1.Describing a Distribution in Terms of Central Tendency 2.Differences.
Chapter 3: Central Tendency 1. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Descriptive Statistics Research Writing Aiden Yeh, PhD.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 4-6 Peer Tutor Slides Instructor: Mr. Ethan W. Cooper, Lead Tutor © 2013.
DO NOW: On your DO NOW sheet in the Tuesday box: What is a common diagram psychologists use to describe data? Why can this graph be misleading?
Summation Notation, Percentiles and Measures of Central Tendency Overheads 3.
Data Description Chapter 3. The Focus of Chapter 3  Chapter 2 showed you how to organize and present data.  Chapter 3 will show you how to summarize.
Econ 3790: Business and Economics Statistics Instructor: Yogesh Uppal
Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
CHAPTER 3 – Numerical Techniques for Describing Data 3.1 Measures of Central Tendency 3.2 Measures of Variability.
Chapter 4: Measures of Central Tendency. Measures of central tendency are important descriptive measures that summarize a distribution of different categories.
Making Sense of Statistics: A Conceptual Overview Sixth Edition PowerPoints by Pamela Pitman Brown, PhD, CPG Fred Pyrczak Pyrczak Publishing.
AP Statistics From Randomness to Probability Chapter 14.
MM150 ~ Unit 9 Statistics ~ Part II. WHAT YOU WILL LEARN Mode, median, mean, and midrange Percentiles and quartiles Range and standard deviation z-scores.
STATS DAY First a few review questions. Which of the following correlation coefficients would a statistician know, at first glance, is a mistake? A. 0.0.
CHAPTER 12 Statistics.
Chapter 12 Chi-Square Tests and Nonparametric Tests
Chapter 22 Statistics.
Information used to create graphs and find statistics
Lesson 6.2 Mean, Median, Mode and Range
STATS DAY First a few review questions.
Elementary Statistics
MEASURES OF CENTRAL TENDENCY
CHAPTER 12 Statistics.
Myers Chapter 1 (F): Statistics in Psychological Research: Measures of Central Tendency A.P. Psychology.
Probability and Statistics
Review of 6th grade material to help with new Statistics unit
Measures of Central Tendency
Presentation transcript:

STATISTICS AND PROBABILITY CHAPTER 4

STAT. & PROBABILITY 4.1 Sampling, Line, Bar and Circle Graphs 4.2 The Mean, Median and Mode 4.3 Counting Problems and Probability

Unbiased sample is a random sample so that each member has an equal opportunity of being selected. 4.1 Unbiased Samples

4.1 Example 1. A college president wants to find out which courses are popular with students. What procedure would be most appropriate for obtaining an unbiased sample of students? A. Survey a random sample of students from the English Department. B. Survey the first hundred students from an alphabetical listing. C. Survey random sample of students from list of entire student body. D. Survey random sample of students from list of entire student body.

4.1 Line and Bar Graphs 2. The graph shows the yearly average temperature from 1980 to What is the difference between the highest and lowest? = A. 73 ºF B. 77 ºFC. 1 ºFD. 4º F ºF

4.1 Circle Graphs 4. The number of people employed in different work areas in a manufacturing plant are represented by the circle graph. What percent are represented in Sales and Administration combined? Total = 40 A. 25% A 5 S B. 20% C. 2.5%D. 7.5%

4.1 Relations from Data 7. Consider the following graph showing the value of a $15,000 car after 1, 2, 3, 4, 5 and 6 years. In what year did the price of the car begin to stabilize? A. 6B. 5C. 4D. 3

4.1 Predictions from Data Strong PositiveStrong Negative None Never select a choice that says one “caused “ the other, as the above graphs do not contain sufficient information to determine cause and effect. Weak Positive Weak Negative

D. There is a positive association between increase in ads and increase in sales 4.1 Predictions from Data 9. The graph shows number of TV adds shown & number of cars sold during a 14 wk. period. Which best describes the relationship between the number of ads and cars sold? Ads Cars sold A. No Apparent association B. Increase in ads caused increase in sales C. Increase in sales caused increase in ads

4.2 Mean, Median & Mode Mean - sum of elements in set divided by number of elements in set. Median - middle element when arranged in order or average of two middle elements. Mode - most frequent element(s). If no element occurs more than once then there is no mode.

4.2 Mean, Median & Mode 1. Find mean, median & mode of the data in this sample: 6, 15, 24, 23, 29, 22, 21, 29, 29 Mode is 29 (most frequent) Median is 23 (middle) A. 22, 23,29 B.17.5, 22,29 C. 29, 23,22 D. 23, 22,29 Average too large! Arrange in order: 6,15,21,22,23,24,29, 29 ( )/9 198/9=22 the mean

4.2 Relationships & Graphs NORMAL Mean = Median = Mode 100 Mean < Med. < Mode SKEWED Left SKEWED Right 0100 Mode < Med.< Mean 0

4.2 Example 3. In a literature class, half scored 95 on a test. Most of the remaining scored 65, except for a few who scored 20. Which is true? Mean < Med. < Mode A. The mode equals the mean. B. The median is greater than mode C. The mode is greater than mean D. The mean is greater than mode Half scored 95 means mode =95

4.2 Applications 8. The table shows the percent distribution of households by income level in What percent of the families have income of at least $35,000? A =37 B. 53C. 26D. 37

4.3 The Counting Principle To count the number of ways a sequence of events can happen, multiply the amount of ways each can occur. 1. Students are asked to rank 4 instructors from best to worst. How many different ways can the 4 instructors be ranked? _______ x ________ x __________ x ________ 1st 2nd 3rd 4th 4321 A. 1B. 4C. 64 D. 24

4.3 Computing Probability It must always be the case: 0≤P(E)≤1 P(not E) = 1- P(E) P(A or B) = P(A) +P(B) - P(A and B) A and B are called mutually exclusive when P(A and B)=0 and then P(A or B) = P(A) +P(B)

4.3 Computing Probability To calculate P(A and B) P(A and B)= P(A)·P(B|A) P(B|A) is the probability of B given A has occurred. A and B are called independent events if and only if P(B|A)=P(B) and then P(A and B) = P(A)·P(B) Two events are dependent if and only if the occurrence of one event affects the probability of the other.

4.3 Example A survey at a college indicated that 90% of those taking the Essay portion of CLAST passed. If only 70% of those taking Math passed, what is the probability that a randomly selected student will fail both the Essay and the Math portion? Since 70% passed math, 30% or 3/10 failed and Since 90% passed essay, 10% or 1/10 failed And we will assume the two events are independent

4.3 Example A survey at a college indicated that 90% of those taking the Essay portion of CLAST passed. If only 70% of those taking Math passed, what is the probability that a randomly selected student will fail both the Essay and the Math portion? P(failed Math)=3/10 and P(failed Essay)=1/10 P(failed Math and failed Essay)=(3/10)(1/10) =3/100

4.3 Example Two common sources of protein for US adults are beans & meat. If 75% of US adults eat meat, 80% eat beans and 70% eat both meat & beans, what is the probability that a randomly selected adult eats meat or beans? P(meat or beans) =P(meat) or P(beans) - P(both) =75% + 80% - 70% = 85%

4.3 Probability Application 8. The table gives the percent of students at a university by sex and student classification. Find the probability that a randomly selected student is a senior. 11% + 9% = 20%, A Soph.JuniorSeniorFresh. Male Female 16%13%10%11% 14%15%12%9% B C. 0.52D. 0.49

REMEMBER MATH IS FUN AND … YOU CAN DO IT