Advanced Higher Statistics

Slides:



Advertisements
Similar presentations
Coy sumlar. SURVEY OF STATISTICS  A survey is an investigation about the characteristics of a given population by means of collecting data from a sample.
Advertisements

Distributions of sampling statistics Chapter 6 Sample mean & sample variance.
Lecture (11,12) Parameter Estimation of PDF and Fitting a Distribution Function.
CHAPTER 21 Inferential Statistical Analysis. Understanding probability The idea of probability is central to inferential statistics. It means the chance.
Business 205. Review Sampling Continuous Random Variables Central Limit Theorem Z-test.
DATA ANALYSIS I MKT525. Plan of analysis What decision must be made? What are research objectives? What do you have to know to reach those objectives?
Chapter 6 Hypotheses texts. Central Limit Theorem Hypotheses and statistics are dependent upon this theorem.
Programme in Statistics (Courses and Contents). Elementary Probability and Statistics (I) 3(2+1)Stat. 101 College of Science, Computer Science, Education.
Descriptive statistics Experiment  Data  Sample Statistics Experiment  Data  Sample Statistics Sample mean Sample mean Sample variance Sample variance.
Samples vs. Distributions Distributions: Discrete Random Variable Distributions: Continuous Random Variable Another Situation: Sample of Data.
Statistical Inference and Sampling Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College Publishing.
1 SOC 3811 Basic Social Statistics. 2 Announcements  Assignment 2 Revisions (interpretation of measures of central tendency and dispersion) — due next.
Overview of STAT 270 Ch 1-9 of Devore + Various Applications.
Lecture 2: Basic steps in SPSS and some tests of statistical inference
7-1 Introduction The field of statistical inference consists of those methods used to make decisions or to draw conclusions about a population. These.
Sampling Distributions  A statistic is random in value … it changes from sample to sample.  The probability distribution of a statistic is called a sampling.
STA291 Statistical Methods Lecture 16. Lecture 15 Review Assume that a school district has 10,000 6th graders. In this district, the average weight of.
Populations, Samples, Standard errors, confidence intervals Dr. Omar Al Jadaan.
Introduction to Statistical Inference Chapter 11 Announcement: Read chapter 12 to page 299.
Education Research 250:205 Writing Chapter 3. Objectives Subjects Instrumentation Procedures Experimental Design Statistical Analysis  Displaying data.
Advanced Higher Statistics Data Analysis and Modelling Hypothesis Testing Statistical Inference AH.
AP STATISTICS LESSON COMPARING TWO PROPORTIONS.
University of Colorado Boulder ASEN 5070: Statistical Orbit Determination I Fall 2014 Professor Brandon A. Jones Lecture 14: Probability Wrap-Up and Statistical.
Confidence Intervals: The Basics BPS chapter 14 © 2006 W.H. Freeman and Company.
Statistics 300: Elementary Statistics Section 6-5.
Determination of Sample Size: A Review of Statistical Theory
Lecture 2 Review Probabilities Probability Distributions Normal probability distributions Sampling distributions and estimation.
Probability and Statistics Dr. Saeid Moloudzadeh Random Variables/ Distribution Functions/ Discrete Random Variables. 1 Contents Descriptive.
Inference for a Population Mean
Chapter 7 Statistical Inference: Estimating a Population Mean.
: An alternative representation of level of significance. - normal distribution applies. - α level of significance (e.g. 5% in two tails) determines the.
26134 Business Statistics Tutorial 12: REVISION THRESHOLD CONCEPT 5 (TH5): Theoretical foundation of statistical inference:
Probability and Statistics Dr. Saeid Moloudzadeh Joint Distribution of Two Random Variables/ Independent Random Variables 1 Contents Descriptive.
Inen 460 Lecture 2. Estimation (ch. 6,7) and Hypothesis Testing (ch.8) Two Important Aspects of Statistical Inference Point Estimation – Estimate an unknown.
Mystery 1Mystery 2Mystery 3.
CHAPTER 10 Analysing quantitative data and formulating conclusions.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 10 Comparing Two Groups Section 10.1 Categorical Response: Comparing Two Proportions.
Recapitulation! Statistics 515. What Have We Covered? Elements Variables and Populations Parameters Samples Sample Statistics Population Distributions.
Psychology 202a Advanced Psychological Statistics September 29, 2015.
Review of Statistical Terms Population Sample Parameter Statistic.
Statistics Module Statistics Statistics are a powerful tool for finding patterns in data and inferring important connections between events in.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Central Limit Theorem Let X 1, X 2, …, X n be n independent, identically distributed random variables with mean  and standard deviation . For large n:
6 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Sampling Distributions Chapter 6.
Statistics and probability Dr. Khaled Ismael Almghari Phone No:
Random Variable.
Psychology 202a Advanced Psychological Statistics
Understanding Standards Statistics (Advanced Higher)
Behavioral Statistics
Statistics in Applied Science and Technology
AP Statistics: Chapter 7
Summarising and presenting data - Univariate analysis continued
STAT 5372: Experimental Statistics
Probability & Statistics Probability Theory Mathematical Probability Models Event Relationships Distributions of Random Variables Continuous Random.
Sampling Distribution
Sampling Distribution
Lecture Slides Elementary Statistics Twelfth Edition
Lecture Slides Elementary Statistics Twelfth Edition
Random Variable.
From Simulations to the Central Limit Theorem
CHAPTER 15 SUMMARY Chapter Specifics
Sampling Distribution Models
Chapter 8: Estimating With Confidence
Statistical Inference
CS639: Data Management for Data Science
Statistical Power.
Introductory Statistics
How Confident Are You?.
26134 Business Statistics Autumn 2017
Presentation transcript:

Advanced Higher Statistics

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing Outcome 1 Data presentation and interpretation Probability Discrete random variables Probability distributions

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing Outcome 1 Sampling and the central limit theorem Intervals and estimation Bivariate analysis

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing Outcome 2 Specify and plan the investigation Select data Present and analyse data Communicate conclusions

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing Outcome 1 Parametric tests Non-parametric tests Bi-variate tests

Data Analysis and Modelling Statistical Inference AH Data Analysis and Modelling Statistical Inference Hypothesis Testing Outcome 2 Posing the hypothesis Collecting data Analysing data Communicating conclusions