Review Chapter 1-3. Exam 1 25 questions 50 points 90 minutes 1 attempt Results will be known once the exam closes for everybody.

Slides:



Advertisements
Similar presentations
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.
Advertisements

Exam One Review Quiz Psy302 Quantitative Methods.
Sampling: Final and Initial Sample Size Determination
Descriptive Statistics
Statistics.
FH Düsseldorf Pablo Agnese Introduction to Econometrics ( )
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
BCOR 1020 Business Statistics Lecture 15 – March 6, 2008.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
1Feb 13, 2006BUS304 – Review chapter 1-3 Descriptive statistics1 Review of Chapter 1-3 Descriptive Statistics  Descriptive Statistics  Ways to collect,
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Normal Distributions & z score
Descriptive Statistics
Introduction to Educational Statistics
1. Homework #2 2. Inferential Statistics 3. Review for Exam.
Concepts and Notions for Econometrics Probability and Statistics.
Formula Compute a standard deviation with the Raw-Score Method Previously learned the deviation formula Good to see “what's going on” Raw score formula.
CONFIDENCE INTERVALS of Means AP STATISTICS, CHAPTER 19 Mrs. Watkins.
Chapter 4 Statistics. 4.1 – What is Statistics? Definition Data are observed values of random variables. The field of statistics is a collection.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 11 Inferences About Population Variances n Inference about a Population Variance n.
Review of Chapters 1- 5 We review some important themes from the first 5 chapters 1.Introduction Statistics- Set of methods for collecting/analyzing data.
Chapter 13 – Difference Between Two Parameters Math 22 Introductory Statistics.
Practice 1 Tao Yuchun Medical Statistics
Chapter 1 Quiz.  A study of 254 patients with sleep disorders was conducted to find a link between obesity and sleep disorders.
Probability & Statistics Sections 2.3, 2.4. A. The mean is very low. B. The data values are all very close in value. C. The data values must all be the.
Determination of Sample Size: A Review of Statistical Theory
BUSINESS STATISTICS I Descriptive Statistics & Data Collection.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Review Lecture 51 Tue, Dec 13, Chapter 1 Sections 1.1 – 1.4. Sections 1.1 – 1.4. Be familiar with the language and principles of hypothesis testing.
Confidence Intervals for Variance and Standard Deviation.
Chapter SixteenChapter Sixteen. Figure 16.1 Relationship of Frequency Distribution, Hypothesis Testing and Cross-Tabulation to the Previous Chapters and.
Sampling ‘Scientific sampling’ is random sampling Simple random samples Systematic random samples Stratified random samples Random cluster samples What?
Descriptive Statistics – Graphic Guidelines
LIS 570 Summarising and presenting data - Univariate analysis.
Descriptive Statistics
MODULE 3: DESCRIPTIVE STATISTICS 2/6/2016BUS216: Probability & Statistics for Economics & Business 1.
Revision of topics for CMED 305 Final Exam. The exam duration: 2 hours Marks :25 All MCQ’s. (50 questions) You should choose the correct answer. No major.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Descriptive Statistics(Summary and Variability measures)
Review Chapter 1-3. Exam 1 25 questions 50 points 90 minutes 1 attempt Results will be known once the exam closes for everybody.
Economics 111Lecture 7.2 Quantitative Analysis of Data.
Social Work 671 Class # 1 Introduction & Review. Outline Introductions Why are we here? Syllabus Review Descriptive Statistics.
Statistics and probability Dr. Khaled Ismael Almghari Phone No:
Descriptive Statistics – Graphic Guidelines Pie charts – qualitative variables, nominal data, eg. ‘religion’ Bar charts – qualitative or quantitative variables,
Advanced Quantitative Techniques
HW Page 23 Have HW out to be checked.
Statistical Methods Michael J. Watts
EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS
Statistical Methods Michael J. Watts
Module 6: Descriptive Statistics
Averages and Variation
Description of Data (Summary and Variability measures)
إحص 122: ”إحصاء تطبيقي“ “Applied Statistics” شعبة 17130
Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Descriptive Statistics
CONTINUOUS PROBABILITY DISTRIBUTIONS CHAPTER 15
Simple Probability Problem
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Chapter 6 Confidence Intervals.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Univariate Statistics
Mean, Median, Mode The Mean is the simple average of the data values. Most appropriate for symmetric data. The Median is the middle value. It’s best.
Quantitative Methods PSY302 Quiz Normal Curve Review February 6, 2017
1. Homework #2 (not on posted slides) 2. Inferential Statistics 3
Descriptive Statistics
Review for Exam 1 Ch 1-5 Ch 1-3 Descriptive Statistics
Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Descriptive statistics for groups:
Introductory Statistics
Presentation transcript:

Review Chapter 1-3

Exam 1 25 questions 50 points 90 minutes 1 attempt Results will be known once the exam closes for everybody

Questions Hypothesis Testing Calculation of Type I and II from problem setting Statistical signficance Definition and interpretation of Type I and II Type of hypothesis – Right-tailed, left-tailed, two sided

Sampling Different sampling schemes Which is applicable in what situation Difference between cluster, stratified, and simple random sampling When to sample

Statistical Inference and Estimation What is it? Where is it used? Difference between statistic and parameter

Types of Data Quantitative vs. Qualitative Nominal, ordinal vs ratio, interval Cross sectional vs time series

Measures Mean, median, mode, percentile calculations From raw data From frequency distribution Difference between symmetric and skewed distribution Interpretation of the measures

Variability Range, IQR, Standard Deviation, Variance Interpretation Calculations Units Box Plots Interpretation Calculation

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2024 SlidePlayer.com Inc. All rights reserved.