'Independent samples t' diaporamas de présentation

Introduction to Statistics

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Review of T-tests

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Review of T-tests

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Group Differences: The Sequel

Group Differences: The Sequel. Last time. Last week we introduced a few new concepts and one new statistical test: Testing for group differences Degrees of Freedom 95% Confidence Intervals Independent Samples T-Tests

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Independent Samples T-Test Practice Problem 1a

Independent Samples T-Test Practice Problem 1a.

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Analysis of Variance

Analysis of Variance. ANOVA. Probably the most popular analysis in psychology Why? Ease of implementation Allows for analysis of several groups at once Allows analysis of interactions of multiple independent variables. Assumptions.

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Two-Sample Inferential Statistics

Two-Sample Inferential Statistics. Greg C Elvers. Two-Sample Inferential Statistics. In an experiment there are two or more conditions One condition is often called the control condition in which the treatment is not administered

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CHAPTER TWELVE ANALYSING DATA I: QUANTITATIVE DATA ANALYSIS

CHAPTER TWELVE ANALYSING DATA I: QUANTITATIVE DATA ANALYSIS. QUANTITATIVE ANALYSIS Analysis should always have a purpose: Describe. Compare. Examine similarities. Examine differences. The issue is not just HOW do we collect data, but how do we generate useful information?.

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SPSS Data Analysis Statistical Procedures and Interpretation

3-1. SPSS Data Analysis Statistical Procedures and Interpretation. MKT568 Global Marketing Management Dr. Fred Miller. Report Research: SPSS Data Analysis. Frequencies Compare Means Independent Samples T-Test Differences Significance Crosstabs Differences Significance

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Hypothesis Testing

Hypothesis Testing. Repeated-Measures Data with One Sample. Repeated-Measures Testing with One Sample. One-Sample Z/T-Test: Looks at difference between one sample and its population at one point in time

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Data Analysis

Data Analysis. Summary of Quantitative Analysis Neuman and Robson Ch. 11. Analyzing Quantitative Data (for brief review only). Parametric Statistics : -appropriate for interval/ratio data -generalizable to a population -assumes normal distributions Non-Parametric Statistics:

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Comparing Means from Independent Samples

Comparing Means from Independent Samples. (Session 12). Learning Objectives. By the end of this session, you will be able to explain how means from two populations may be compared describe the assumptions associated with the independent samples t-test

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Inference for distributions: - Comparing two means

Inference for distributions: - Comparing two means. Comparing two means Two-sample z distribution Two independent samples t -distribution Two sample t -test Two-sample t -confidence interval Robustness Details of the two sample t procedures. Two-sample z distribution.

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The t-test for two independent samples

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SPSS

SPSS. S tatistical P ackage for S ocial S ciences Independent Samples t-test Department of Psychology California State University Northridge www.csun.edu / plunk. Independent samples t-test. Independent samples t-test examines differences between two groups on a dependent variable.

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Introduction

Disruptive behaviours at school: Information processing differentiators of callous-unemotional traits and conduct problems Chloe Booth Developmental Risk & Resilience Unit, Department of Psychology & Language Sciences, UCL. Conclusions

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