'Paired samples' diaporamas de présentation

Psych 5500/6500

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Comparing 2 Groups

Comparing 2 Groups. Most Research is Interested in Comparing 2 (or more) Groups (Populations, Treatments, Conditions) Longitudinal: Same subjects at different times Cross-sectional: Different groups of subjects Independent samples: No connection between the subjects in the 2 groups

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Statistics and Data Analysis

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Ch11: Comparing 2 Samples

Ch11: Comparing 2 Samples. 11.1: INTRO : This chapter deals with analyzing continuous measurements. Later, some experimental design ideas will be introduced. Chapter #13 will be devoted to qualitative data analysis. 11.2 : Comparing Two Independent Samples.

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Presentation on Data Analysis

Presentation on Data Analysis. Z Test & T Test. PRESENTED BY : GROUP 1 MD SHAHIDUR RAHMAN ROLL# 003 MD AMINUL ISLAM ROLL# 007 MRS ROZINA KHANAM ROLL# 038. Introduction. Sometimes measuring every single piece of item is just not practical

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Chapter 3

Chapter 3. Comparison of groups. Comparison of groups.

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Happiness comes not from material wealth but less desire.

Happiness comes not from material wealth but less desire. . Inferences Comparing Two Population Means. Chapter 6 Confidence intervals Statistical tests Sample size selection. Estimation for m1-m2. Point estimator Confidence interval

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Happiness comes not from material wealth but less desire.

Happiness comes not from material wealth but less desire. Statistical Package Usage. Topic: Tests for two samples By Prof Kelly Fan, Cal State Univ, East Bay. Example: Mortar Strength.

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Confidence Intervals

Confidence Intervals. W&W, Chapter 8. Confidence Interval Review. For the mean: If ? is known: ? = M +/- Z ? /2 *( ? / ? N) If ? is unknown and N is large ( ? 100): ? = M +/- Z ? /2 *(s/ ? N) If ? is unknown and N is small (< 100): ? = M +/- t ? /2 *(s/ ? N).

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Happiness comes not from material wealth but less desire.

Happiness comes not from material wealth but less desire. Inferences Comparing Two Population Means. Paired samples Independent samples Estimation Tests- z test and t test. Paired Samples.

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Meaning of the sample correlation coefficient (r)

Meaning of the sample correlation coefficient (r). A measure of the closeness of linear relationship between two variables. r= ?x 1 x 2 / [(?x 1 2 )(?x 2 2 )] 1/2 Properties of r A pure number without units r between -1 and +1

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Chapter 25: Paired Samples and Blocks

Chapter 25: Paired Samples and Blocks. AP Statistics. Paired/Matched Samples. This situation arises when your groups are NOT independent. What are common situations where this occurs Compare subjects with themselves before and after treatment

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Comparing Means from Paired Samples

Comparing Means from Paired Samples. (Session 13). Learning Objectives. By the end of this session, you will be able to recognise whether two samples are paired or independent explain why there is a gain in precision with paired samples

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Statistical Inference on Two Populations

Statistical Inference on Two Populations. Many real world problems involve the comparison of 2 populations Examples: Medical trial in which participants are randomly assigned a drug or a placebo Quality control testing that compares lifetime of product A to product B

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Hypothesis testing simplified

Hypothesis testing simplified. Objective: Describe a variable. - Mean, Median, Mode, Standard Deviation Examples: What is the percentage of totally satisfied customers in our database? What is the most common income in our data base?. Objective: compare one group to a hypothetical/ set value.

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Statistical Inference for the Mean: t-test

Statistical Inference for the Mean: t-test. Comparison of paired samples:. Interfering factors in the comparison of two sample means using unpaired samples may inflate the pooled estimate of variance of test results. It is possible to pair the measurements.

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PSYC 355 SPSS CUMULATIVE / TUTORIALOUTLETDOTCOM

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