Inquiry 1 proposals were/are due in lab Th 9/9 or M 9/13 Homework #1 in lab Today: Mean, Median, Mode, T-test xkcd.com.

Slides:



Advertisements
Similar presentations
M&Ms Statistics.
Advertisements

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
ANOVA notes NR 245 Austin Troy
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Test statistic: Group Comparison Jobayer Hossain Larry Holmes, Jr Research Statistics, Lecture 5 October 30,2008.
Variability Measures of spread of scores range: highest - lowest standard deviation: average difference from mean variance: average squared difference.
Statistics Intro Univariate Analysis Central Tendency Dispersion.
Business Statistics BU305 Chapter 3 Descriptive Stats: Numerical Methods.
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.
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
Quiz 2 Measures of central tendency Measures of variability.
Statistical Analysis Statistical Analysis
t-Test: Statistical Analysis
1 Tests with two+ groups We have examined tests of means for a single group, and for a difference if we have a matched sample (as in husbands and wives)
Descriptive Statistics Anwar Ahmad. Central Tendency- Measure of location Measures descriptive of a typical or representative value in a group of observations.
Statistical Analysis Mean, Standard deviation, Standard deviation of the sample means, t-test.
Variability. Statistics means never having to say you're certain. Statistics - Chapter 42.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
PSSA Coach Lesson 28 Measures of Central Tendency M11.E Unit 5: Data Analysis & Probability.
Statistics - methodology for collecting, analyzing, interpreting and drawing conclusions from collected data Anastasia Kadina GM presentation 6/15/2015.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Trial Group AGroup B Mean P value 2.8E-07 Means of Substances Group.
The Statistical Analysis of Data. Outline I. Types of Data A. Qualitative B. Quantitative C. Independent vs Dependent variables II. Descriptive Statistics.
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method.
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.
1 ANALYSIS OF VARIANCE (ANOVA) Heibatollah Baghi, and Mastee Badii.
Chapter 3, Part A Descriptive Statistics: Numerical Measures n Measures of Location n Measures of Variability.
Marina Maksimova Session 7 Comments for “Classical Tests”
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Inquiry 1 written and oral reports are due in lab Th 9/24 or M 9/28 Homework #1 and 2 are posted Today: Analyzing Data and Statistics xkcd.com.
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
ENGR 610 Applied Statistics Fall Week 2 Marshall University CITE Jack Smith.
Unit 2 (F): Statistics in Psychological Research: Measures of Central Tendency Mr. Debes A.P. Psychology.
Describing Data Descriptive Statistics: Central Tendency and Variation.
Welcome to MM570 Applies Statistics for Psychology Unit 2 Seminar Dr. Bob Lockwood.
RESEARCH & DATA ANALYSIS
STATISTICS FOR SCIENCE RESEARCH (The Basics). Why Stats? Scientists analyze data collected in an experiment to look for patterns or relationships among.
Statistical analysis Why?? (besides making your life difficult …)  Scientists must collect data AND analyze it  Does your data support your hypothesis?
Are our results reliable enough to support a conclusion?
Quality Control: Analysis Of Data Pawan Angra MS Division of Laboratory Systems Public Health Practice Program Office Centers for Disease Control and.
Homework #1 is due now Today: T-test and Outliers xkcd.com.
On stats Descriptive statistics reduce data sets to allow for easier interpretation. Statistics allow use to look at average scores. For instance,
Inquiry 1 written and oral reports are due in lab the week of 9/29. Today: Statistics This weekend, on 6th street. Pecan Street Arts Festival (
Chapter 6 Becoming Acquainted With Statistical Concepts.
Statistics -Descriptive statistics 2013/09/30. Descriptive statistics Numerical measures of location, dispersion, shape, and association are also used.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
The 2 nd to last topic this year!!.  ANOVA Testing is similar to a “two sample t- test except” that it compares more than two samples to one another.
AP PSYCHOLOGY: UNIT I Introductory Psychology: Statistical Analysis The use of mathematics to organize, summarize and interpret numerical data.
7 th Grade Math Vocabulary Word, Definition, Model Emery Unit 4.
Mean and Standard Deviation
Becoming Acquainted With Statistical Concepts
Measures of Central Tendency
Warm Up What is the mean, median, mode and outlier of the following data: 16, 19, 21, 18, 18, 54, 20, 22, 23, 17 Mean: 22.8 Median: 19.5 Mode: 18 Outlier:
Success Criteria: I will be able to analyze data about my classmates.
Central Tendency.
Statistical Process Control
Dispersion How values arrange themselves around the mean
Statistics: The Interpretation of Data
Chapter 13 Group Differences
Statistics.
Chapter 6: Becoming Acquainted with Statistical Concepts
DATA ANALYSIS: STATISTICS AND GRAPHING
Statistics 5/19/2019.
14.3 Measures of Dispersion
Daily Warm-up Tuesday, April 29th
Lecture 4 Psyc 300A.
Standard Deviation Mean - the average of a set of data
The Mean Variance Standard Deviation and Z-Scores
Presentation transcript:

Inquiry 1 proposals were/are due in lab Th 9/9 or M 9/13 Homework #1 in lab Today: Mean, Median, Mode, T-test xkcd.com

Most statistical work can be done, and more easily done, by computer using programs such as: MS Excel Open Office SPSS SAS

The Basics: mean, median, and mode

Mean- aka the average. Sum of all numbers divided by the number of data points. ( )/7 = 9.57

Median- the middle number of a group of ordered numbers median is 8

Median- the middle number of a group of ordered numbers median is 8 What about ?

Median- the middle number of a group of ordered numbers median is 8 What about ? Median is 9.

Mode- the most common value in a group. 9, 8, 3, 4, 5, 2, 4, 5, 2, 3, 6, 1, 6, 2, 3, 9, 2, 6 Mode is 2

Why are there 3 ways to analyze a group of numbers?

The mean is the most common form of analysis.

Why are there 3 ways to analyze a group of numbers? The mean is the most common form of analysis. 2, 3, 2, 4, 2, 7, 2, 5, 3, 2, 5, 4, 3, 5, 6, 121, 130 Mean = 18

Why are there 3 ways to analyze a group of numbers? 2, 3, 2, 4, 2, 7, 2, 5, 3, 2, 5, 4, 3, 5, 6, 121, 130 Mean = 18 Is this an accurate representation of these numbers?

Why are there 3 ways to analyze a group of numbers? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7, 121, 130 Median = 4 Mean = 18 Median can be more accurate when there are a few especially large or small numbers.

What is your favorite color?

Mode can be used with non-numerical data.

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7, 121, 130 Median = 4 Mean = 18

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7, 121, 130 Median = 4 Mean = 18 Standard Deviation is a measure of variability.

Standard deviation is a measure of variability. The standard deviation is the root mean square (RMS) deviation of the values from their arithmetic mean. where ∑ = Sum of X = Individual score M = Mean of all scores N = Sample size (Number of scores)

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7, 121, 130 Mean = 18 Standard deviation = 40.5 Standard deviation is a measure of variability.

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 Standard deviation = 1.6 Standard deviation is a measure of variability.

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 (121, 130) Mean = 3.67 Median was 4

Is there a numerical way to determine the accuracy of our analysis? 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 Standard deviation is a measure of variability.

Percent of data at 1, 2, or 3 standard deviations from the mean

, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 8/15=53% 14/15=93% 15/15=100%

Standard deviation can also be used to determine if 2 data sets are statistically different.

Standard deviation can also be used to determine if 2 data sets are statistically different… Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48

Do the standard deviations overlap? Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 range = 2.07 to 5.27 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48 range = 5.77 to 8.73 No overlap, might be different

Do the standard deviations overlap? Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 range = 2.07 to 5.27 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 4, 5 Mean = 6.83 ± 1.64 range = 5.19 to 8.47 Overlap, different means, but might not be a statistically significant difference

How significant of a difference is this? Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 range = 2.07 to 5.27 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48 range = 5.77 to 8.73 No overlap, might be different

The ‘Students’ T-test is a method to assign a numerical value of statistical difference.

X 1 –X 2 T= n1n1 Sx n2n2 Sx 2

The ‘Students’ T-test is a method to assign a numerical value of statistical difference. X 1 –X 2 T= n1n1 Sx n2n2 Sx 2 (Difference between means) (variance) (sample size)

The ‘Students’ T-test is a method to assign a numerical value of statistical difference. X 1 –X 2 T= n1n1 Sx n2n2 Sx 2 T is then used to look up the P-value from a table. Also need ‘degrees of freedom’ = (n 1 +n 2 )-1.

P-value Df T Partial table for determining P from T

How significant of a difference is this? Using a speadsheet to get a P value = 3.44x Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48

How significant of a difference is this? P value = 3.44x So the chance that these 2 sets of data are not significantly different is 3.44x10 -6 Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 And Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48

How significant of a difference is this? P value = 3.44x So the chance that these 2 sets of data are significantly different is x10 -6 or We can be % certain that the difference is statistically significant. Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 9, 5 Mean = 7.25 ± 1.48

Overlap, different means, but might not be a statistically significant difference Set 1= 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 7 Mean = 3.67 ±1.6 range = 2.07 to 5.27 Set 2= 8, 6, 7, 8, 9, 5, 6, 7, 9, 8, 4, 5 Mean = 6.83 ± 1.64 range = 5.19 to 8.47 P-value = 4.41 x 10 -5

Generally a P-value of 0.05 or less is considered a statistically significant difference. 20% random difference : 80% confidence 10% random difference : 90% confidence 5% random difference : 95% confidence 1% random difference : 99% confidence 0.1% random difference : 99.9% confidence

Standard deviation is NOT a valid method for determining statistical signifigance. T-test is one valid and accurate method for determining if 2 means have a statistically significant difference, or if the difference is merely by chance.

Inquiry 1 proposals were/are due in lab Th 9/9 or M 9/13 Homework #1 in lab Next: More Stats and Outliers... xkcd.com