Using DataData. Why do we need to deal with data ? In the context of what we do in Qatar the answer could perhaps best be ‘To sumarise and present large.

Slides:



Advertisements
Similar presentations
Grade 10 Mathematics Data handling.
Advertisements

Psychology: A Modular Approach to Mind and Behavior, Tenth Edition, Dennis Coon Appendix Appendix: Behavioral Statistics.
Introduction to Summary Statistics
1.2: Describing Distributions
Quantitative Data Analysis Definitions Examples of a data set Creating a data set Displaying and presenting data – frequency distributions Grouping and.
1. Statistics 2. Frequency Table 3. Graphical Representations  Bar Chart, Pie Chart, and Histogram 4. Median and Quartiles 5. Box Plots 6. Interquartile.
Statistics Used In Special Education
WEEK 2 ( SEPTEMBER 2013) Unit 1 Data and Technology.
Copyright PEER.tamu.edu. Data Analysis Definition: systematically identifying patterns in the information gathered and deciding how to organize,
Measures of Central Tendency & Spread
Statistics Chapter 9. Statistics Statistics, the collection, tabulation, analysis, interpretation, and presentation of numerical data, provide a viable.
Statistics Recording the results from our studies.
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.
Thinking About Psychology: The Science of Mind and Behavior 2e Charles T. Blair-Broeker Randal M. Ernst.
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Percentiles and Box – and – Whisker Plots Measures of central tendency show us the spread of data. Mean and standard deviation are useful with every day.
MATH IN THE FORM OF STATISTICS IS VERY COMMON IN AP BIOLOGY YOU WILL NEED TO BE ABLE TO CALCULATE USING THE FORMULA OR INTERPRET THE MEANING OF THE RESULTS.
Psychology’s Statistics Module 03. Module Overview Frequency Distributions Measures of Central Tendency Measures of Variation Normal Distribution Comparative.
Chapter 15 Basic Statistics. §15.1 thru 15.4 – Graphs Bar graphs – Example 1 p. 483 – Problems 15.1 #18, 20, 22 (p. 483) Circle graphs – Figure 15.2 p.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
A tour of fundamental statistics introducing Basic Statistics.
Vocabulary Measure of central tendency: one number that describes a set of data USEWHEN… The data are spread out and you want an average (add all and divide.
Measures of Central Tendency Foundations of Algebra.
Thinking About Psychology The Science of Mind and Behavior 3e Charles T. Blair-Broeker & Randal M. Ernst PowerPoint Presentation Slides by Kent Korek Germantown.
 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.
Unit 2 (F): Statistics in Psychological Research: Measures of Central Tendency Mr. Debes A.P. Psychology.
Summary Statistics: Measures of Location and Dispersion.
Notes Unit 1 Chapters 2-5 Univariate Data. Statistics is the science of data. A set of data includes information about individuals. This information is.
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
Vocabulary to know: *statistics *data *outlier *mean *median *mode * range.
Cumulative frequency Cumulative frequency graph
STATISTICS STATISTICS Numerical data. How Do We Make Sense of the Data? descriptively Researchers use statistics for two major purposes: (1) descriptively.
The number which appears most often in a set of numbers. Example: in {6, 3, 9, 6, 6, 5, 9, 3} the Mode is 6 (it occurs most often). Mode : The middle number.
Descriptive Statistics Research Writing Aiden Yeh, PhD.
Statistics and Data Analysis
Unit 3: Averages and Variations Part 3 Statistics Mr. Evans.
CCGPS Coordinate Algebra Unit 4: Describing Data.
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.
Measures of Central Tendency, Variance and Percentage.
ANNOUCEMENTS 9/3/2015 – NO CLASS 11/3/2015 – LECTURE BY PROF.IR.AYOB KATIMON – 2.30 – 4 PM – DKD 5 13/3/2015 – SUBMISSION OF CHAPTER 1,2 & 3.
Describing Data Week 1 The W’s (Where do the Numbers come from?) Who: Who was measured? By Whom: Who did the measuring What: What was measured? Where:
Y12 Research Methods. Extraneous Variables (EV’s) These are variables that might affect the DV if the experiment is not well controlled. Starter: A study.
Interpreting Categorical and Quantitative Data. Center, Shape, Spread, and unusual occurrences When describing graphs of data, we use central tendencies.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 10 Descriptive Statistics Numbers –One tool for collecting data about communication.
Analysis of Quantitative Data
Statistics and Probability-Part 7
Shoe Sizes.
Univariate Descriptive Statistics
Theme 4 Describing Variables Numerically
Unit 4 Statistics Review
Percentiles and Box-and- Whisker Plots
Statistical Evaluation
Descriptive Statistics
Vocabulary box-and-whisker plot lower quartile upper quartile
Psychology Statistics
11.2 box and whisker plots.
Using statistics to evaluate your test Gerard Seinhorst
Summary descriptive statistics: means and standard deviations:
Thinking About Psychology The Science of Mind and Behavior 3e
How to create a Box and Whisker Plot
During this survey, I went up to 50 random students and asked each one what time they woke up in the morning for school .These are the results I got…..
Evaluation and Assessment of the Individual: Week 2 Discussion
Bar Chart Data Analysis First Generation Third Generation.
Lesson 12: Presentation and Analysis of Data
Ms. Saint-Paul A.P. Psychology
MBA 510 Lecture 2 Spring 2013 Dr. Tonya Balan 4/20/2019.
14.2 Measures of Central Tendency
Statistics and Probability-Part 7
Review of 6th grade material to help with new Statistics unit
Presentation transcript:

Using DataData

Why do we need to deal with data ? In the context of what we do in Qatar the answer could perhaps best be ‘To sumarise and present large amounts of data in such a way that others are able to achieve one of the following three aims’.

1) Quickly gain an overview or snapshot of what is happening.

or English results

2) Identify areas of concern or interest e.g. Concern : Class with lower median Interest : Lowest scoring 25 % of students in a particular class

3) Identify trends or improvements e.g.

or

What data should we present and how do we do this ? To do this effectively it is important that you understand your target audience. In Qatar this translates to selecting statistics which can be readily understood and graphs which can be easily explained.

Summary Statistics To describe a set of data normally two numbers are used. CENTRAL MEASURE 1) a CENTRAL MEASURE or single number chosen to represent the entire set. MEASURE OF SPREAD 2) A MEASURE OF SPREAD which, as the name suggests, provides an indication of how the data is spread out.

Central measures averages There are two commonly used central measures or averages meanThe mean calculated by adding all the data points together and then dividing by the number of points. e.g the mean of 6, 7, and 2 is median * The median calculated by putting all the scores in order then finding the middle value. So for the three numbers above the median is 6.

Measures of spread There are also two measures of spread in common use. The Range1) The Range = highest value – lowest value The standard deviation2) The standard deviation which measures how much variation there is from the mean. To calculate from a spreadsheetspreadsheet

Data Display Generally I have used three types of data display which, with some targeted PD, are now understood by the SMT and Staff within the school. These are 1)Box and Whisker plotsplots 2)Strip percentage graphsgraphs 3)Comparative bar graphsgraphs

Summary Statistics Tabulated data can be cut and pasted from the workbook to help provide a better overall picture. Once this has been done I generally include three comments; one relating to medians, the second to the shape of the distribution and the third to the spread. e.g.e.g.

3) Ongoing monitoring of Staff understanding 2) Progressive training of targeted Staff so that by the end of the contract they are self sufficient. 1) Targeted PD for all Staff and members of the SMT to ensure they can understand, evaluate and ultimately use the information in a meaningful way.meaningful way. Sustainability