MM207 Statistics Welcome to the Unit 2 Seminar name.

Slides:



Advertisements
Similar presentations
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 1 An Introduction to Business Statistics.
Advertisements

Introduction to Statistics & Measurement
Elementary Statistics MOREHEAD STATE UNIVERSITY
Section 3C Dealing with Uncertainty Pages
Section 2.2 ~ Dealing With Errors
Measurements in Statistics
Nominal Level Measurement n numbers used as ways to identify or name categories n numbers do not indicate degrees of a variable but simple groupings of.
Calculating & Reporting Healthcare Statistics
Copyright © 2005 Pearson Education, Inc. Slide 3-1.
Thomas Songer, PhD with acknowledgment to several slides provided by M Rahbar and Moataza Mahmoud Abdel Wahab Introduction to Research Methods In the Internet.
Levels of Measurement Nominal measurement Involves assigning numbers to classify characteristics into categories Ordinal measurement Involves sorting objects.
Unit 1 Section 1.2.
2.1 Data Types and Levels of Measurement
Section 2.3 ~ Uses of Percentages in Statistics Introduction to Probability and Statistics Ms. Young.
AM Recitation 2/10/11.
Section 3C Dealing with Uncertainty
Statistics 1 Course Overview
Can't Type. press F11 or F5. Can’t Hear
Probability & Statistics
Welcome to MM207! Unit 1 Seminar To resize your pods: Place your mouse here. Left mouse click and hold. Drag to the right to enlarge the pod.
© Copyright McGraw-Hill CHAPTER 1 The Nature of Probability and Statistics.
Section 3C Dealing with Uncertainty Pages
STA291 Statistical Methods Lecture 16. Lecture 15 Review Assume that a school district has 10,000 6th graders. In this district, the average weight of.
Introduction to Probability and Statistics Consultation time: Ms. Chong.
1.What is this graph trying to tell you? 2.Do you see anything misleading, unclear, etc.? 3.What is done well?
Section 2.4 ~ Index Numbers
Copyright © 2011 Pearson Education, Inc. Numbers in the Real World.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics? Chapter 1.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics Chapter 1.
1 Concepts of Variables Greg C Elvers, Ph.D.. 2 Levels of Measurement When we observe and record a variable, it has characteristics that influence the.
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
Vocabulary of Statistics Part Two. Variable classifications Qualitative variables: can be placed into distinct categories, according to some characteristic.
What is Statistics Chapter 1.
Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:
© 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.
Copyright © 2011 Pearson Education, Inc. Numbers in the Real World.
Copyright © 2011 Pearson Education, Inc. Numbers in the Real World.
Copyright © 2011 Pearson Education, Inc. Numbers in the Real World.
INTRODUCTION TO STATISTICS CHAPTER 1: IMPORTANT TERMS & CONCEPTS.
Uncertainty2 Types of Uncertainties Random Uncertainties: result from the randomness of measuring instruments. They can be dealt with by making repeated.
Chapter 1 Getting Started What is Statistics?. Individuals vs. Variables Individuals People or objects included in the study Variables Characteristic.
Copyright © 2014 Pearson Education. All rights reserved Dealing with Errors LEARNING GOAL Understand the difference between random and systematic.
Copyright © 2014 Pearson Education. All rights reserved Uses of Percentages in Statistics LEARNING GOAL Understand how percentages are used.
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
 Statistical Reasoning Chapter 2- Measurement in Statistics.
Copyright © 2009 Pearson Education, Inc. 2.4 Index Numbers LEARNING GOAL Understand the concept of an index number; in particular, understand how the Consumer.
Exploratory data analysis, descriptive measures and sampling or, “How to explore numbers in tables and charts”
By: Michael Mack, Ana Meneses and Zhane’ Fleming.
What is Statistics Chapter 1.
Elementary Statistics
Unit 1 Section 1.2.
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
2.3 Uses of Percentages in Statistics
What is Statistics Chapter 1.
Copyright © 2009 Pearson Education, Inc.
Probability and Statistics
Computing Reliability
Welcome to Statistics World
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics Chapter 1.
Statistical Techniques in Business & Economics
2.2 Dealing with Errors LEARNING GOAL
2.3 Uses of Percentages in Statistics
Vocabulary of Statistics
Probability and Statistics
Dealing with Uncertainty
What is Statistics Chapter 1.
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Measurement in Statistics
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Presentation transcript:

MM207 Statistics Welcome to the Unit 2 Seminar name

Accessing StatCrunch

Data Types Quantitative data Quantitative data has a value or a numerical measurement for which you can calculate sums, products and other numerical calculations. You can do meaningful math Qualitative data Qualitative data is grouped into a category or group. Sums, products or other numerical calculations do not mean anything. You cannot do meaningful math

Quantitative Data Continuous data can take on any value in a given interval Age: between 10 years and 11 years old there can be any number between, 10.4, 10.45, , , 10.89, Discrete data can take on only particular, distinct values and not other values in between Number of children in a family must be and will only be a whole number

Levels of Measurement Nominal: Data is put in categories [names] Ordinal: Nominal plus the data is put in ordered categories [ranks] Interval: Ordinal plus the interval is meaningful, but ratios are not [arbitrary zero] Ratio: Interval plus the data have an absolute (meaningful) zero point [ratios are meaningful]

Types of Error Random errors occur because of random and inherently unpredictable events in the measurement process Systematic errors occur when there is a problem in the measurement system that affects all measurements in the same way

Size of the Error Absolute error describes how far a claimed or measured value is from the true value Relative error compares the size of the absolute error to the true value [percentage]

Size of the error Find the absolute and relative error. Your true weight is 100 pounds, but a scale says you weigh 105 pounds. Solution: The measured value is the scale reading of 105 pounds and the true value is 100 pounds. absolute error = measured value – true value = 105 lbs – 100 lbs = 5 lbs relative error = absolute error / true value x 100% 5 lbs/100 lbs. x 100% = 5%

Describing Results Accuracy describes how closely a measurement approximates a true value. An accurate measurement is close to the true value. (Close is generally defined as a small relative error, rather than a small absolute error.) Precision describes the amount of detail in a measurement.

Describing Results Suppose that your true weight is pounds. The scale at the doctor’s office, which can be read only to the nearest quarter pound, says that you weigh 102¼ pounds. The scale at the gym, which gives a digital readout to the nearest 0.1 pound, says that you weigh pounds. Which scale is more precise? Which is more accurate?

The absolute change describes the actual increase or decrease from a reference value to a new value: absolute change = new value – reference value The relative change describes the size of the absolute change in comparison to the reference value and can be expressed as a percentage: relative change = new value – reference value x 100% reference value

Absolute/Relative Change World population in 1950 was 2.6 billion. By the beginning of 2000, it had reached 6.0 billion. Describe the absolute and relative change in world population from 1950 to Absolute Change: 6.0 – 2.6 = 3.4 billion Relative Change: ( )/2.6 * 100 = 130%

Absolute and Relative Differences The absolute difference is the difference between the compared value and the reference value: absolute difference = compared value - reference value The relative difference describes the size of the absolute difference in comparison to the reference value and can be expressed as a percentage: relative difference = (compared value – reference value) x 100% reference value

Absolute and Relative Differences Life expectancy for American men is about 75 years, while life expectancy for Russian men is about 59 years. Compare the life expectancy of American men to that of Russian men in absolute and relative terms. Solution: Absolute Difference: 75 – 59 = 16 years Relative Difference: (75-59)/ 59 * 100 = 27%

Percentages of Percentages Percentage Points versus % When you see a change or difference expressed in percentage points, you can assume it is an absolute change or difference. If it is expressed as a percentage, it probably is a relative change or difference.

Percentages of Percentages Based on interviews with a sample of students at your school, you conclude that the percentage of all students who are vegetarians is probably between 20% and 30%. Should you report your result as “25% with a margin of error of 5%” or as “25% with a margin of error of 5 percentage points”? Explain.

Index Numbers

Index Numbers Suppose the cost of gasoline today is $3.20 per gallon. Using the 1975 price ($0.567) as the reference value, find the price index number for gasoline today. Table 2.1 shows that the price of gas was 56.7¢, or $0.567, per gallon in If we use the 1975 price as the reference value and the price today is $3.20, the index number for gasoline today is index number = $3.20/$0.67 x 100 = This index number for the current price is 564.4, which means the current gasoline price is 564.4% of the 1975 price.

Consumer Price Index The Consumer Price Index (CPI), which is computed and reported monthly, is based on prices in a sample of more than 60,000 goods, services, and housing costs.

Consumer Price Index Suppose you needed $30,000 to maintain a particular standard of living in How much would you have needed in 2006 to maintain the same living standard?

Questions??