PPT-Inferential Statistics

20152016 Overview LC OL Sampling variability Confidence intervals for population proportion Hypothesis testing using confidence intervals LC HL Normal distribution Sampling variability. 1 (Version 1: 8/27/2014 ) SPSS for Inferential Statistics SPSS for Inferential Statistics 2 (Version 1: 8/27/2014 ) Background Information IBM SPSS Statistics is a software package used for statisti The University of Reading Statistical Services Centre 1. Introduction 3 2. Applying Estimation Ideas 4 3. Standard errors 6 4. Confidence Intervals 7 5. Hypothesis Testing 10 5.1 A simple example 10 1-. 1. 1-. 1. 1-. 1. Statistics for Managers using Microsoft Excel. 6. th. Edition. Chapter 1. Introduction. 1-. 2. Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall. Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall. and. . t. . - tests . ScWk. 242 – Session 9 Slides. Inferential Statistics. Inferential . statistics . are used to . test . hypotheses about the relationship between the independent and the dependent . Comparison of Group Means. Standard Deviations (. z . scores). 0. +1. +2. +3. -2. -1. -3. 34.13%. 34.13%. 13.59%. 13.59%. 2.14%. 2.14%. 0.13%. 0.13%. Percentile Equivalents. 1. 5. 10. 2. 0. 4. 0. 5. 0. Re-thinking synonymy: semantic sameness and similarity in languages and their description. Helsinki, 2010. Liisa. . Vilkki. University of Helsinki. Evidentiality. : the source of the speaker’s information (e.g. visual observation, non-visual observation, inference, report) . A Hypothetical Inferential Theory (HIT). Henrik Singmann, Igor . Douven. , . Shira. . Elqayam. , David Over, & . Janneke. van . Wijnbergen-Huitink. New paradigm, probabilities, pragmatics, and dual processing: Festschrift in . conclusions. Comprehension Toolkit. Inferential comprehension 3. Comprehension Toolkit. Inferential comprehension . 3. Comprehension. means . understanding. . . The answers to some questions are easy to find, while the answers to others are more difficult to work out. Types of Inference. Estimation. : On the basis of information in a sample of scores, we estimate the value of a population parameter.. Hypothesis Testing. : We determine how well the data in the sample fit with the hypothesis that in the population a parameter has a particular value.. Comprehension Toolkit. Inferential comprehension 1. Comprehension Toolkit. Inferential comprehension 1. Comprehension. means . understanding. . . The answers to some questions are easy to find, while the answers to others are more difficult to work out. Mike Griffiths. m.griffiths@gold.ac.uk. homepages.gold.ac.uk/. mikegriffiths. /teaching. Variables. Quantitative research concerns itself with variables.. Which of the following are variables?. Height. Sample . statistics. will be slightly off from the true values of its population’s . parameters. Sampling error:. The difference between a sample statistic and a population parameter. Probability theory. Compare and contrast Comprehension Toolkit Inferential comprehension 2 Comprehension Toolkit Inferential comprehension 2 Comprehension means understanding . The answers to some questions are easy to find, while the answers to others are more difficult to work out. Demographic Statistics Section. United Nations Expert Group Meeting . on the Impact of the Covid-19 Pandemic . on Conducting Population and Housing Censuses and . on Census Data Quality Concerns. 9-12 February 2021.