Consider your grade in a class - Let’s say that your semester grade is based on the following 4 test scores. 85, 80, 70 and 95 What is your grade for the.

Slides:



Advertisements
Similar presentations
Brought to you by Tutorial Support Services The Math Center.
Advertisements

Random Sampling and Data Description
1 1 Slide © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole.
Relationship Between Sample Data and Population Values You will encounter many situations in business where a sample will be taken from a population, and.
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
Measures of Dispersion
VARIABILITY. PREVIEW PREVIEW Figure 4.1 the statistical mode for defining abnormal behavior. The distribution of behavior scores for the entire population.
The Basics  A population is the entire group on which we would like to have information.  A sample is a smaller group, selected somehow from.
Variance Fall 2003, Math 115B. Basic Idea Tables of values and graphs of the p.m.f.’s of the finite random variables, X and Y, are given in the sheet.
1 Chapter 4: Variability. 2 Variability The goal for variability is to obtain a measure of how spread out the scores are in a distribution. A measure.
Measures of Variability: Range, Variance, and Standard Deviation
Chapter 4 SUMMARIZING SCORES WITH MEASURES OF VARIABILITY.
 Deviation is a measure of difference for interval and ratio variables between the observed value and the mean.  The sign of deviation (positive or.
Measures of Central Tendency
1 Psych 5500/6500 Statistics and Parameters Fall, 2008.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
BPS - 3rd Ed. Chapter 211 Inference for Regression.
Overview Summarizing Data – Central Tendency - revisited Summarizing Data – Central Tendency - revisited –Mean, Median, Mode Deviation scores Deviation.
Chapter 3 Descriptive Measures
Statistics Recording the results from our studies.
Variability. Statistics means never having to say you're certain. Statistics - Chapter 42.
1 1 Slide Descriptive Statistics: Numerical Measures Location and Variability Chapter 3 BA 201.
LECTURER PROF.Dr. DEMIR BAYKA AUTOMOTIVE ENGINEERING LABORATORY I.
1 PUAF 610 TA Session 2. 2 Today Class Review- summary statistics STATA Introduction Reminder: HW this week.
1 1 Slide © 2007 Thomson South-Western. All Rights Reserved.
Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.
Chapter 3 Central Tendency and Variability. Characterizing Distributions - Central Tendency Most people know these as “averages” scores near the center.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 2 – Slide 1 of 27 Chapter 3 Section 2 Measures of Dispersion.
Determination of Sample Size: A Review of Statistical Theory
Chapter 5 Measures of Variability. 2 Measures of Variability Major Points The general problem The general problem Range and related statistics Range and.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
1 1 Slide © 2006 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
Probability and Statistics in Geology Probability and statistics are an important aspect of Earth Science. Understanding the details, population of a data.
Chapter 3, Part A Descriptive Statistics: Numerical Measures n Measures of Location n Measures of Variability.
Measures of Location INFERENTIAL STATISTICS & DESCRIPTIVE STATISTICS Statistics of location Statistics of dispersion Summarise a central pointSummarises.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
PCB 3043L - General Ecology Data Analysis. PCB 3043L - General Ecology Data Analysis.
Summarizing Risk Analysis Results To quantify the risk of an output variable, 3 properties must be estimated: A measure of central tendency (e.g. µ ) A.
For starters - pick up the file pebmass.PDW from the H:Drive. Put it on your G:/Drive and open this sheet in PsiPlot.
LIS 570 Summarising and presenting data - Univariate analysis.
CHAPTER 2: Basic Summary Statistics
Measurements and Their Analysis. Introduction Note that in this chapter, we are talking about multiple measurements of the same quantity Numerical analysis.
CHAPTER – 1 UNCERTAINTIES IN MEASUREMENTS. 1.3 PARENT AND SAMPLE DISTRIBUTIONS  If we make a measurement x i in of a quantity x, we expect our observation.
Lectures' Notes STAT –324 Probability Probability and Statistics for Engineers First Semester 1431/1432 and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
BPS - 5th Ed. Chapter 231 Inference for Regression.
Chapter 9 Sampling Distributions 9.1 Sampling Distributions.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
PCB 3043L - General Ecology Data Analysis Organizing an ecological study What is the aim of the study? What is the main question being asked? What are.
Chapter 3 Numerical Descriptive Measures. 3.1 Measures of central tendency for ungrouped data A measure of central tendency gives the center of a histogram.
An Introduction to Statistics
Data Analysis.
Measures of Dispersion
Central Tendency and Variability
Summary descriptive statistics: means and standard deviations:
Lectures' Notes STAT – 324  Probability and Statistics for Engineers First Semester 1431/1432 and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
Central Tendency.
Variance Variance: Standard deviation:
Sampling Distribution
Sampling Distribution
Section 7.7 Introduction to Inference
Summary descriptive statistics: means and standard deviations:
St. Edward’s University
Chapter Three Numerically Summarizing Data
Descriptive Statistics
CHAPTER 2: Basic Summary Statistics
Geology Geomath Chapter 7 - Statistics tom.h.wilson
These probabilities are the probabilities that individual values in a sample will fall in a 50 gram range, and thus represent the integral of individual.
Lectures' Notes STAT – 324  Probability and Statistics for Engineers First Semester 1431/ and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
Presentation transcript:

Consider your grade in a class - Let’s say that your semester grade is based on the following 4 test scores. 85, 80, 70 and 95 What is your grade for the semester? Your grade is the average of these 4 test scores or 82.5

Is the average grade of 82.5 a statistic or a parameter? The average is often used to represent the most likely value to be encountered in a sample or population. Since the entire population of grades for the student consists of just those 4 test scores, that average is a parameter.

On page 113 (Chapter 7) Waltham lists the masses (in grams) of 100 pebbles taken from a beach. The average mass of these pebbles is grams This average is a... statistic Pebble Masses

If we draw smaller samples at random from our original sample of 100 specimens and then compute their averages, we begin to appreciate that the statistical average is only an estimate of the population average.Recall that the mean estimated from 100 samples was = 355.1g

At right, the pebble mass has been sorted in ascending order from the lightest to heaviest pebbles in the sample. There are an even number of specimens in this sample, so the median must be determined from the average of specimens 50 and 51 Median =352.5 g #50 #51

The mode is the value that occurs most frequently. For example, in the following sample, (1,2,2,3,3,3,4,5), 3 occurs most frequently and would be the mode of this sample. In the sample of rock masses, 283, 331, 338, 355 and 403 all occur 3 times. We cannot define a single mode. The data are poly-modal The Mode

Refer to your handout and use PsiPlot to generate descriptive statistics of the pebble masses

- a graphical display of the distribution of values - in this case - the pebble mass data from Waltham.

The appearance of the histogram will vary depending on the specified range you use to subdivide the sample values. You might group your samples into 25 gram ranges extending from 226 through 250, 251 through 275 and so on.

The median is grams and the mean grams Histogram constructed using 50 gram intervals-

The histogram reveals a mass distribution characterized by a certain range of values and 454 grams - a 230 gram range. Variation of pebble mass

Refer to your handout and construct a histogram of pebble masses. Label, print and hand in at the end of class

The distribution of masses from beach B is similar in shape to that from our first beach, but its range is much smaller. Both samples have the same mean. AB

Sample B is better sorted than our first sample. The mass distribution from beach C has the same range as distribution B and nearly the same mean (348 grams), but its shape is very different. This distribution is much more irregularly distributed across the range - i.e. there’s not a preferred value. C So we need some other measure of the distribution to define the qualities of well and poorly sorted more quantitatively

 2 is used to represent the population variance A parameter that describes the spread or dispersion in the values of a population is its variance. Note the brackets indicate that we are taking the mean of this quantity.

The equivalent statistic used to quantify the spread or dispersion in the values of a sample is the sample variance. The sample variance is computed in the following way - s 2 represents the sample variance

The standard deviation of the sample values is a statistic that is also often used to describe the degree of variation in values of a sample. The standard deviation is just the square root of the variance.

Standard deviation =32.37Standard deviation = While these two distributions have similar means, the one on the right is better sorted and the standard deviation - not the range reveals this difference. Mean = 348grMean = gr C

The standard deviation describes geological differences in the sample that are not apparent in the mean or range. One sample is better sorted - has smaller standard deviation than the other, which is less sorted and has higher standard deviation.

The sample variance is considered to be an underestimate of the population variance or actual variance of the parent population. To compensate for that, and to obtain an estimate of the population variance which is considered more accurate, the sample variance is corrected to form an “unbiased”estimate of the population variance.

The following equation is used to compute the unbiased estimate of the population variance - or equivalently

Refer back to worksheet generated descriptive statistics for the pebble masses and note their standard deviation and variance.