Chapter 1. deals with the collection, analysis, interpretation, and presentation of data. is the study of randomness and deals with chance occurrences.

Slides:



Advertisements
Similar presentations
STATISTICAL METHODS I STATISTICAL METHODS I Prof. Elizabeth M. Role, Ph. D. Prof. Elizabeth M. Role, Ph. D.
Advertisements

Sta220 - Statistics Mr. Smith Room 310 Class #7.
Introduction to Statistics
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 1 An Introduction to Business Statistics.
Splash Screen Example 7-4b Objective Predict the actions of a larger group by using a sample.
Population Population
Statistics-MAT 150 Chapter 1 Introduction to Statistics Prof. Felix Apfaltrer Office:N518 Phone: x7421.
Presentation 5. Probability.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 5-1 Chapter 5 Some Important Discrete Probability Distributions Basic Business Statistics.
ฟังก์ชั่นการแจกแจงความน่าจะเป็น แบบไม่ต่อเนื่อง Discrete Probability Distributions.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 5-1 Chapter 5 Some Important Discrete Probability Distributions Statistics.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 1 Section 2 – Slide 1 of 22 Chapter 1 Section 2 Observational Studies, Experiments, and.
Concept Quiz Ch. 1-3 True/False
1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. Make sure sample.
Chapter 1 The Where, Why, and How of Data Collection
Introduction to Statistics
Why sample? Diversity in populations Practicality and cost.
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Copyright (c) Bani K. Mallick1 STAT 651 Lecture #15.
Chapter 1 Sampling and Data.
Introduction to Statistics
AP Statistics Overview and Basic Vocabulary. Key Ideas The Meaning of Statistics Quantitative vs. Qualitative Data Descriptive vs. Inferential Statistics.
Unit 4 Statistics 1-variable. Intro Problem A farmer is investigating the effect of a new organic fertilizer on his crops of peas. He has divided a small.
Chap 5-1 Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 5 Discrete Probability Distributions Business Statistics: A First.
Chapter 1 Getting Started
Chapter 2: Statistics of One Variable
© The McGraw-Hill Companies, Inc., by Marc M. Triola & Mario F. Triola SLIDES PREPARED BY LLOYD R. JAISINGH MOREHEAD STATE UNIVERSITY MOREHEAD.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 5-1 Chapter 5 Some Important Discrete Probability Distributions Basic Business Statistics.
Chapter 4 Statistics. 4.1 – What is Statistics? Definition Data are observed values of random variables. The field of statistics is a collection.
1.2 Key Terms Statistics:The collection, analysis, interpretation and presentation of data Population: A collection of persons, things or objects under.
Chapter 1 DATA AND PROBLEM SOLVING. Section 1.1 GETTING STARTED.
1  Specific number numerical measurement determined by a set of data Example: Twenty-three percent of people polled believed that there are too many polls.
Data, Graphs and Sampling. Data Types Qualitative (Categorical) – descriptive, non-numerical Quantitative (numerical) – discrete or continuous.
Chapter 2 Review MDM 4U Mr. Lieff. 2.2 – In Search of Good Data What are the variables in a study? The information that is collected What types of variables.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 5-1 Chapter 5 Some Important Discrete Probability Distributions Basic Business Statistics.
Data Gathering Techniques. Essential Question: What are the different methods for gathering data about a population?
Chap 1-1 Statistics for Managers Using Microsoft Excel ® 7 th Edition Chapter 1 Defining & Collecting Data Statistics for Managers Using Microsoft Excel.
Chapter 4: DISCRETE RANDOM VARIABLES2 Random variable is a numerical variable whose value is subject to variations due to chance. It is a numerical output.
By Ms. Isaac  Standards Standards  Collect and Organize Data Collect and Organize Data  Example Example  Activity Activity  Frequency Table and.
1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. Make sure sample.
© Nuffield Foundation 2011 Nuffield Free-Standing Mathematics Activity Parking permits.
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 5-1 Business Statistics: A Decision-Making Approach 8 th Edition Chapter 5 Discrete.
MATH104 Chapter 12 Statistics 12.1 Intro Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics.
1 Statistics Statistics can be found in all aspects of life:
+ Chapter 1. + Chapter 1 Section 1: Overview of Statistics.
Statistical Questioning Lesson After completing this lesson, you will be able to say: I can recognize and write a statistical question. I can recognize.
Getting Started Mrs. Watkins AP Statistics. Statistics is the study of DATA and VARIATION.
Introduction to Statistics Chapter 1. § 1.1 An Overview of Statistics.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 5-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 1 Section 2 – Slide 1 of 21 Chapter 1 Section 2 Observational Studies, Experiments,
Ch1 Larson/Farber 1 Elementary Statistics Math III Introduction to Statistics.
Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.
STT 350: SURVEY SAMPLING Dr. Cuixian Chen Chapter 2: Elements of the Sampling Problem Elementary Survey Sampling, 7E, Scheaffer, Mendenhall, Ott and Gerow.
Chapter 1: Section 2-4 Variables and types of Data.
Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 5-1 Chapter 5 Some Important Discrete Probability Distributions Business Statistics,
Elementary Statistics (Math 145) June 19, Statistics is the science of collecting, analyzing, interpreting, and presenting data. is the science.
11.1 Chi-Square Tests for Goodness of Fit Objectives SWBAT: STATE appropriate hypotheses and COMPUTE expected counts for a chi- square test for goodness.
PROBABILITY DISTRIBUTIONS DISCRETE RANDOM VARIABLES OUTCOMES & EVENTS Mrs. Aldous & Mr. Thauvette IB DP SL Mathematics.
Section 1.3 Objectives Discuss how to design a statistical study Discuss data collection techniques Discuss how to design an experiment Discuss sampling.
Do Now  47 TCNJ students were asked to complete a survey on campus clubs and activities. 87% of the students surveyed participate in campus clubs and.
Math 145 June 19, Outline 1. Recap 2. Sampling Designs 3. Graphical methods.
Ing. Martina Majorová, FEM SUA Statistics Lecture 4 – Data sampling & Data sorting.
Statistics 200 Objectives:
Arrangements or patterns for producing data are called designs
Chapter 17 Thinking about Chance.
Chapter 5 Some Important Discrete Probability Distributions
Arrangements or patterns for producing data are called designs
WARM - UP Is the coin Fair?
M248: Analyzing data Block A UNIT A3 Modeling Variation.
Presentation transcript:

Chapter 1

deals with the collection, analysis, interpretation, and presentation of data. is the study of randomness and deals with chance occurrences. Statistics deals with the collection, analysis, interpretation, and presentation of data. Probability is the study of randomness and deals with chance occurrences.

KEY TERMS n Experiment: process of finding out the average time spent at a CC before transferring n Population: CC students at a particular school who transfer n Parameter: Average time spent at the CC by all students who transfer Example: Average time spent at a Community College (CC) before transferring to a 4-year school

Key Terms n Sample: A survey of these students n Statistic: Average time spent by that survey of students n Variable (in words): Let X = time spent by one student at a CC before transferring. n Data: A value representing the time in years, quarters, semesters, etc.

Another Example n Experiment: process of finding the proportion of CA teenagers who drink milk each day n Population: All CA teenagers n Sample: 25 teenagers in a CA shopping mall n Parameter: Proportion of CA teenagers who drink milk each day in the population n Statistic: Proportion of CA teenagers who drink milk in the sample n Variable: X = the number of CA teenagers who drink milk each day n Data: 6 CA teenagers (out of the 25) drink milk each day Review Ex. 1-1 in Ch. 1 after class. Cover up answers and then check.

DATA n Qualitative: Categorical (words) Ex. Blood type, color, names n Quantitative: Numerical Discrete - countable answers “How many?” Continuous - measured answers “How much?” Examples: Age weight of backpack # of classes you take favorite soccer team town you live in school population

Sampling n To gather information about the entire population often costs too much money and is impossible.

Is sampling OK? Ex: Do we drain blood to do a test? Do we poke all over a cake to test for doneness? Consider the 1990 census that was done in the United States.

The key is correct sampling! Ex. We are interested in the average number of hours per day that U.S. 4th graders watch T.V. Do we survey n all latch key 4th graders? NO n all 4th graders who play organized sports? NO n a variety of 4th graders all over the country? YES

Incorrect Sampling Ex. Truman versus Dewey In the late 1940’s, a presidential survey was done by telephone. The people who did the survey took the names from a conservative magazine subscription list.

Variation in Data and Samples n Roll a fair die 20 times. Record how many times each face occurs. n Do the experiment a second time. n Which experiment had the correct results?

Methods of Sampling n Simple random n Systematic n Cluster n Stratified n Convenience

Sampling may be done with or without replacement. n With replacement: Flip 2 fair coins 25 times and record the number of heads. n From your class, randomly pick 3 people to form a collaborative group.

Frequency, Relative Frequency, and Cumulative Relative Frequency n Frequency (freq. or F): How many times an answer occurs n Relative Frequency (RF): The percent, decimal, or fraction an answer occurs, n Cumulative Relative Frequency (cum. RF): Accumulation of the percent that occurred at that value or lower

Ex. Age of students (in years): 21, 26, 35, 35, 19, 22, 56, 44, 23, 26, 22, 39 A table that organizes the data.

Questions n What is the relative frequency of 22 or 26 years? n What percent of students are less than 30 years? n What fraction of students are from 22 to 29 years, inclusive?

Ex. Age of students (in years): 21, 26, 35, 35, 19, 22, 56, 44, 23, 26, 22, 39 A different way of creating the table.

Ex. Nineteen people were asked how many miles, to the nearest mile, they commute to work each day. The data are 2, 5, 7, 3, 2, 10, 18, 15, 20, 7, 10, 18, 5, 12, 13, 12, 4, 5, 10.

Questions n Comment on the table. Is it correct? Assume the data are correct. n T or F. Three percent of the people surveyed commute 3 miles. Why or why not is this true? n What fraction of people surveyed commute 5 or 7 miles n What percent of the people surveyed commute 12 miles or more?