Descriptive Statistics Experiment Simulations Confidence Intervals Sampling Distribution Simulations Main Menu.

Slides:

Advertisements

Similar presentations

Creating a Histogram using the Histogram Function.

Advertisements

WINKS SDA Statistical Data Analysis (Windows Kwikstat) Getting Started Guide.

Stat 512 Day 4: Quantitative Data. Last Time p-values and statistical significance  What p-values tell us (and do not tell us) For now, approximating.

Checking the Required Conditions. Check these 3 boxes.

Descriptive statistics Experiment  Data  Sample Statistics Experiment  Data  Sample Statistics Sample mean Sample mean Sample variance Sample variance.

LSP 121 Intro to Statistics and SPSS. Statistics One of many definitions: The mathematics of collecting and analyzing data to draw conclusions and make.

Copyright (c) Bani K. Mallick1 STAT 651 Lecture #15.

Analysis of Simulation Input.. Simulation Machine n Simulation can be considered as an Engine with input and output as follows: Simulation Engine Input.

Sampling Distributions & Point Estimation. Questions What is a sampling distribution? What is the standard error? What is the principle of maximum likelihood?

Sampling Distribution of the Mean Problem - 1

WARM – UP 1.Phrase a survey or experimental question in such a way that you would obtain a Proportional Response. 2.Phrase a survey or experimental question.

Things that I think are important Chapter 1 Bar graphs, histograms Outliers Mean, median, mode, quartiles of data Variance and standard deviation of.

MATH125 Chapter 3 topics ANALYZING DATA NUMERICALLY.

MS 305 Recitation 11 Output Analysis I

Probability Distributions. Essential Question: What is a probability distribution and how is it displayed?

Describing Location in a Distribution 2.1 Measures of Relative Standing and Density Curves 2.1 Measures of Relative Standing and Density Curves Text.

4.1 Probability Distributions. Do you remember? Relative Frequency Histogram.

How to find measures variability using SPSS

Objective: to make and interpret frequency tables and histograms.

T T03-01 Calculate Descriptive Statistics Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram.

1 Results from Lab 0 Guessed values are biased towards the high side. Judgment sample means are biased toward the high side and are more variable.

Selecting Input Probability Distribution. Simulation Machine Simulation can be considered as an Engine with input and output as follows: Simulation Engine.

Statistics with TI-Nspire™ Technology Module E. Lesson 2: Properties Statistics with TI-Nspire™ Technology Module E.

Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.

Mr. Magdi Morsi Statistician Department of Research and Studies, MOH

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.

NAME ____________________________________ DATE ____________________ PERIOD ______Samples & Populations: Problem 2.3 – Choosing Random Samples You are going.

Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall2(2)-1 Chapter 2: Displaying and Summarizing Data Part 2: Descriptive Statistics.

CSE 474 Simulation Modeling | MUSHFIQUR ROUF CSE474:

Chapter 4 – Measurements of Location and Position Math 22 Introductory Statistics.

 I can identify the shape of a data distribution using statistics or charts.  I can make inferences about the population from the shape of a sample.

Control the population proportion through the slider.

Research Methods in Politics CHapter 13 1 Research Methods in Politics 13 Calculating and Interpreting Descriptive Statistics.

Lab Chapter 9: Confidence Interval E370 Spring 2013.

3.1 Graphical Displays of Data. Example 1 Describe each distribution Uniform Mound Shaped U-Shaped / Bi-modal Skewed (left) Skewed (right)

Probability and Statistics 12/11/2015. Statistics Review/ Excel: Objectives Be able to find the mean, median, mode and standard deviation for a set of.

Margin of Error S-IC.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation.

STATISTICS Chapter 2 and and 2.2: Review of Basic Statistics Topics covered today:  Mean, Median, Mode  5 number summary and box plot  Interquartile.

 Normal Curves  The family of normal curves  The rule of  The Central Limit Theorem  Confidence Intervals  Around a Mean  Around a Proportion.

Parameter, Statistic and Random Samples

Where Are You? Children Adults.

Advanced Quantitative Techniques

EMPA P MGT 630.

Alt Text to Graphs.

Probability and Statistics

Review 1. Describing variables.

Unique Benefits of Using Risk Impact

Fundamentals of Probability and Statistics

Summary of Prev. Lecture

Microsoft Office Illustrated

Simple Random Sampling

AP Statistics: Chapter 7

Topic 5: Exploring Quantitative data

2.1 Normal Distributions AP Statistics.

More Weather Stats.

Displaying Distributions with Graphs

Section 7.1 Sampling Distributions

WARM – UP 1. Phrase a survey or experimental question in such a way that you would obtain a Proportional Response. 2. Phrase a survey or experimental.

Continuous Random Variables

Section 12.2 Comparing Two Proportions

Simulate Multiple Dice

Sampling Distribution Models

Random functions.

DESIGN OF EXPERIMENT (DOE)

Advanced Algebra Unit 1 Vocabulary

Data Distribution - Histograms

Business and Economics 7th Edition

Producing good data through sampling and experimentation

Continuous Random Variables

Introductory Statistics

Presentation transcript:

Descriptive Statistics Experiment Simulations Confidence Intervals Sampling Distribution Simulations Main Menu

Guess the Correlation Generate Random Number Mean/SD vs Median/IQR Descriptive Statistics Histogram with Sliders Main Menu

Uniform Normal Right Skewed Sampling Distributions Simulations Binary Main Menu

Proportion Mean Confidence Intervals Main Menu

Flip a Coin Roll a Dice Experiment Simulations Spinner Main Menu

Guess the Correlation elation.html Main Menu

Mean/SD vs Median/IQR -Enter in Sample Size -Simulation – Generates a random dataset of values from 1 to 5 (not integers) of specified sample size -Add point – Can add an additional value (prompted as to what value) Action: Output Summary Statistics of Mean/Standard Deviation/Median/IQR Main Menu

Random Number Generator -Set Minimum -Set Maximum -Set Sample Size -Check box of whether to allow repeats -Set Seed Action: Generates Random Numbers from inputs. Main Menu

Histogram with Sliders -Input Data Action: Creates Histogram -Slider that moves starting point -Slider that changes bin width Main Menu

Uniform -Input Mean and Median and Sample Size and number of iterations Action: Randomly Selects sample of specified size -Displays Sample on Center Graph -Finds Mean of Sample -Displays Mean of Sample on Third Graph -Calculate Mean, Median, and St. Dev of Third Graph -Repeat for specified number of iterations (only have to animate if iteration size is lesss than 10) Main Menu

Right Skewed -Input Mean and Median and Sample Size and number of iterations Action: Randomly Selects sample of specified size -Displays Sample on Center Graph -Finds Mean of Sample -Displays Mean of Sample on Third Graph -Calculate Mean, Median, and St. Dev of Third Graph -Repeat for specified number of iterations (only have to animate if iteration size is lesss than 10) Main Menu

Normal -Input Mean and Median and Sample Size and number of iterations Action: Randomly Selects sample of specified size -Displays Sample on Center Graph -Finds Mean of Sample -Displays Mean of Sample on Third Graph -Calculate Mean, Median, and St. Dev of Third Graph -Repeat for specified number of iterations (only have to animate if iteration size is lesss than 10) Main Menu

Binary -Input Proportion, Sample Size and number of iterations Action: Randomly Selects sample of specified size -Displays Sample on Center Graph -Finds Mean of Sample -Displays Mean of Sample on Third Graph -Calculate Mean, Median, and St. Dev of Third Graph -Repeat for specified number of iterations (only have to animate if iteration size is lesss than 10) Main Menu

CI for Proportion - htmlhttp:// html -Choose Proportions as method Main Menu

CI for Mean - htmlhttp:// html -Choose Means as method Main Menu

Coin Flip OneProp.htm Main Menu

Roll a Dice php?name=rolldice - Note you have to scroll down to see the app Main Menu

Spinner Spinner/ Main Menu