Distributions & Graphs. Variable Types Discrete (nominal) Discrete (nominal) Sex, race, football numbers Sex, race, football numbers Continuous (interval,

Slides:



Advertisements
Similar presentations
Histograms Bins are the bars Counts are the heights Relative Frequency Histograms have percents on vertical axis.
Advertisements

Population vs. Sample Population: A large group of people to which we are interested in generalizing. parameter Sample: A smaller group drawn from a population.
Cal State Northridge  320 Andrew Ainsworth PhD.  The variable: scores on a 60 question exam for 20 students 50, 46, 58, 49, 50, 57, 49, 48, 53, 45,
1 Frequency Distributions & Graphing Nomenclature  Frequency: number of cases or subjects or occurrences  represented with f  i.e. f = 12 for a score.
Beginning the Visualization of Data
Frequency Distributions and Graphs. Where do we start? Quantitative Data is a set that can be numerically represented.
1.1 Displaying and Describing Categorical & Quantitative Data.
1 NURS/HSCI 597 Frequency Distribution Heibatollah Baghi, and Mastee Badii.
Chapter 1 Data Presentation Statistics and Data Measurement Levels Summarizing Data Symmetry and Skewness.
Part II Sigma Freud & Descriptive Statistics
Frequency distributions and their graphs Frequency distribution tables give the number if instances of each value in a distribution. Frequency distribution.
Stem and Leaf Display Stem and Leaf displays are an “in between” a table and a graph – They contain two columns: – The left column contains the first digit.
FREQUENCY DISTRIBUTIONS What is a Frequency Distribution? What is a Frequency Distribution? What is a Frequency Distribution? What is a Frequency Distribution?
Raw Scores. Un-Grouped Frequency Distribution Grouped Frequency Distribution.
Graphing Data.  Frequency Distributions DVFreq
EdPsy 511 August 28, Common Research Designs Correlational –Do two qualities “go together”. Comparing intact groups –a.k.a. causal-comparative and.
FREQUENCY DISTRIBUTIONS What is a Frequency Distribution? What are Frequency Distributions Used For? Ways of Displaying Frequency Distributions Describing.
FREQUENCY DISTRIBUTIONS raw score distribution: list of each individual’s score frequency distribution: list of each score that appears and how many times.
Frequency Distributions
Organizing Information Pictorially Using Charts and Graphs
Data observation and Descriptive Statistics
Is it what it is. Depending on the data type, we can use different types of display. When dealing with categorical (nominal) data we often use a.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Comparisons across normal distributions Z -Scores.
Examining Univariate Distributions Chapter 2 SHARON LAWNER WEINBERG SARAH KNAPP ABRAMOWITZ StatisticsSPSS An Integrative Approach SECOND EDITION Using.
Data Handling Collecting Data Learning Outcomes  Understand terms: sample, population, discrete, continuous and variable  Understand the need for different.
Objective To understand measures of central tendency and use them to analyze data.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Exploratory Data Analysis Statistics Introduction If you are going to find out anything about a data set you must first understand the data Basically.
Stats 95 Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures.
Data Presentation.
Statistics.
Graphical Summary of Data Distribution Statistical View Point Histograms Skewness Kurtosis Other Descriptive Summary Measures Source:
Sta220 - Statistics Mr. Smith Room 310 Class #3. Section
Sta220 - Statistics Mr. Smith Room 310 Class #3. Section
Statistical Tools in Evaluation Part I. Statistical Tools in Evaluation What are statistics? –Organization and analysis of numerical data –Methods used.
STAT 211 – 019 Dan Piett West Virginia University Lecture 1.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
1 Laugh, and the world laughs with you. Weep and you weep alone.~Shakespeare~
Organizing Data Once it is collected, data can be organized in a table. The number of days each student in a class of 25 was recorded as follows: 0, 3,
2.2 Organizing Quantitative Data. Data O Consider the following data O We would like to compute the frequencies and the relative frequencies.
Skewness & Kurtosis: Reference
Statistics 2. Variables Discrete Continuous Quantitative (Numerical) (measurements and counts) Qualitative (categorical) (define groups) Ordinal (fall.
An Introduction to Statistics. Two Branches of Statistical Methods Descriptive statistics Techniques for describing data in abbreviated, symbolic fashion.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
Unit 4 Statistical Analysis Data Representations.
Chapter 3 – Graphical Displays of Univariate Data Math 22 Introductory Statistics.
Chapter 2: Frequency Distributions. 2 Control GroupExperimental Group Control Group Exam Score Experimental.
Graphing Data.  Represents how often scores occur  Scores grouped into ranges of numbers  First, choose a class interval  Second, count the number.
1 Frequency Distributions. 2 After collecting data, the first task for a researcher is to organize and simplify the data so that it is possible to get.
Descriptive Statistics – Graphic Guidelines
Outline of Today’s Discussion 1.Displaying the Order in a Group of Numbers: 2.The Mean, Variance, Standard Deviation, & Z-Scores 3.SPSS: Data Entry, Definition,
Measurements Statistics WEEK 6. Lesson Objectives Review Descriptive / Survey Level of measurements Descriptive Statistics.
Graphic Representation “A picture is worth a thousand words” captures the value of using graphs to represent distributions.
1 Take a challenge with time; never let time idles away aimlessly.
Graphs with SPSS Aravinda Guntupalli. Bar charts  Bar Charts are used for graphical representation of Nominal and Ordinal data  Height of the bar is.
Describing Data: Summary Measures. Identifying the Scale of Measurement Before you analyze the data, identify the measurement scale for each variable.
Figure 2-7 (p. 47) A bar graph showing the distribution of personality types in a sample of college students. Because personality type is a discrete variable.
STAT 4030 – Programming in R STATISTICS MODULE: Basic Data Analysis
BUSINESS MATHEMATICS & STATISTICS.
Chapter 2: Methods for Describing Data Sets
Module 6: Descriptive Statistics
Description of Data (Summary and Variability measures)
Frequency Distributions and Graphs
HMI 7530– Programming in R STATISTICS MODULE: Basic Data Analysis
Drill {A, B, B, C, C, E, C, C, C, B, A, A, E, E, D, D, A, B, B, C}
Chapter 2 Organizing data
Shape of Distributions
Experimental Design Experiments Observational Studies
Biostatistics Lecture (2).
Presentation transcript:

Distributions & Graphs

Variable Types Discrete (nominal) Discrete (nominal) Sex, race, football numbers Sex, race, football numbers Continuous (interval, ratio) Continuous (interval, ratio) Temperature, Test score, Reaction time Temperature, Test score, Reaction time

Frequency Distributions Graphic representation of data Graphic representation of data Easier to understand than raw numbers Easier to understand than raw numbers Helps communicate to others Helps communicate to others Basic kinds of frequency distributions Basic kinds of frequency distributions Ungrouped – simple tally Ungrouped – simple tally Grouped – used to simplify Grouped – used to simplify Uses Uses Relative and cumulative frequency Relative and cumulative frequency Shape Shape

Common of Graphs Bar Chart (discrete) Bar Chart (discrete) Histogram (continuous) Histogram (continuous) Scatterplot (2 variables) Scatterplot (2 variables)

Distribution Shapes Normal Normal Center Center Spread Spread Shoulders Shoulders Skew Skew There will be numerical ways to describe all these, but for now, just consider the shape visually.

Normal

Central Tendency

Variability (spread) Central tendency and Variability

Skew The tail!

Kurtosis - shoulders

Odd Shapes

Modern Stat Graphs Box plot Box plot Stem-leaf Stem-leaf

Boxplot Boxplot for a normal distribution Same distribution as a (sort of) histogram

Boxplot with outliers

Boxplot with Skewed Distribution

Exam and Course Distributions Psych Stats Fall 2007

Course Grades Sp 2008

Stem-leaf diagram Frequency Stem & Leaf Stem width: 1.00 Each leaf: 1 case(s) (Approximately) Normal distribution

Stem-leaf of volcano heights Frequency Stem & Leaf Extremes (>=18500) Stem width: Each leaf: 1 case(s)

Final Grade Pct Sp 08 TotPct08 Stem-and-Leaf Plot Frequency Stem & Leaf Extremes (=<.48) Stem width:.10 Each leaf: 1 case(s) Note that SPSS has the boxplot with larger numbers at the top, but the stem-leaf shows larger numbers at the BOTTOM, so one is backwards from the other.

Definition Political party is an example of what kind of variable? Political party is an example of what kind of variable? 1 continuous 1 continuous 2 discrete 2 discrete 3 intensity 3 intensity 4 objective 4 objective

Definition A distribution with a long tail to the right (high) end is called ________ A distribution with a long tail to the right (high) end is called ________ 1 leptokurtic 1 leptokurtic 2 negatively skewed 2 negatively skewed 3 platykurtic 3 platykurtic 4 positively skewed 4 positively skewed

Graphs Which boxplot shows a skewed distribution? Which boxplot shows a skewed distribution?

Discussion Question When might you prefer a graph to a table of numbers for presenting a result? When might you prefer a graph to a table of numbers for presenting a result? Name a variable you think would be interesting for college students to see as a graph. What kind of data would you put in the graph? Why would it be of interest? Name a variable you think would be interesting for college students to see as a graph. What kind of data would you put in the graph? Why would it be of interest?