Design and Data Analysis in Psychology I Salvador Chacón Moscoso Susana Sanduvete Chaves School of Psychology Dpt. Experimental Psychology 1.

Slides:



Advertisements
Similar presentations
Estimation of Means and Proportions
Advertisements

Topics
Sampling: Final and Initial Sample Size Determination
Chapter 10: Sampling and Sampling Distributions
T T Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution.
PROBABILITY AND SAMPLES: THE DISTRIBUTION OF SAMPLE MEANS.
Sampling Distributions
C82MCP Diploma Statistics School of Psychology University of Nottingham 1 Overview Central Limit Theorem The Normal Distribution The Standardised Normal.
Chapter 9 Hypothesis Testing II. Chapter Outline  Introduction  Hypothesis Testing with Sample Means (Large Samples)  Hypothesis Testing with Sample.
How confident are we that our sample means make sense? Confidence intervals.
Chapter 9 Hypothesis Testing II. Chapter Outline  Introduction  Hypothesis Testing with Sample Means (Large Samples)  Hypothesis Testing with Sample.
© 2002 Thomson / South-Western Slide 8-1 Chapter 8 Estimation with Single Samples.
AP Statistics Chapter 9 Notes.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 8-1 Confidence Interval Estimation.
Design and Data Analysis in Psychology I Salvador Chacón Moscoso Susana Sanduvete Chaves School of Psychology Dpt. Experimental Psychology 1.
Chapter 10 – Sampling Distributions Math 22 Introductory Statistics.
Chapter 7 Estimation Procedures. Basic Logic  In estimation procedures, statistics calculated from random samples are used to estimate the value of population.
Estimation (Point Estimation)
1 Chapter 7 Sampling Distributions. 2 Chapter Outline  Selecting A Sample  Point Estimation  Introduction to Sampling Distributions  Sampling Distribution.
CHAPTER SEVEN ESTIMATION. 7.1 A Point Estimate: A point estimate of some population parameter is a single value of a statistic (parameter space). For.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Estimates and Sample Sizes Chapter 6 M A R I O F. T R I O L A Copyright © 1998,
Chapter 7 Estimation Procedures. Basic Logic  In estimation procedures, statistics calculated from random samples are used to estimate the value of population.
Various Topics of Interest to the Inquiring Orthopedist Richard Gerkin, MD, MS BGSMC GME Research.
Chapter 7: The Distribution of Sample Means. Frequency of Scores Scores Frequency.
Week 7 Chapter 6 - Introduction to Inferential Statistics: Sampling and the Sampling Distribution & Chapter 7 – Estimation Procedures.
1 Chapter 8 Interval Estimation. 2 Chapter Outline  Population Mean: Known  Population Mean: Unknown  Population Proportion.
ESTIMATION OF THE MEAN. 2 INTRO :: ESTIMATION Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic.
Chapter 8 Interval Estimates For Proportions, Mean Differences And Proportion Differences.
MATH Section 4.4.
Describing a Score’s Position within a Distribution Lesson 5.
LESSON 4.1. MULTIPLE LINEAR REGRESSION 1 Design and Data Analysis in Psychology II Salvador Chacón Moscoso Susana Sanduvete Chaves.
Design and Data Analysis in Psychology II
Design and Data Analysis in Psychology I English group (A) Salvador Chacón Moscoso Susana Sanduvete Chaves Milagrosa Sánchez Martín School of Psychology.
3.3. SIMPLE LINEAR REGRESSION: DUMMY VARIABLES 1 Design and Data Analysis in Psychology II Salvador Chacón Moscoso Susana Sanduvete Chaves.
Design and Data Analysis in Psychology I Salvador Chacón Moscoso Susana Sanduvete Chaves School of Psychology Dpt. Experimental Psychology 1.
Design and Data Analysis in Psychology I English group (A) Salvador Chacón Moscoso Susana Sanduvete Chaves Milagrosa Sánchez Martín School of Psychology.
Design and Data Analysis in Psychology I English group (A) Salvador Chacón Moscoso Susana Sanduvete Chaves Milagrosa Sánchez Martín School of Psychology.
1. According to ______ the larger the sample, the closer the sample mean is to the population mean. (p. 251) Murphy’s law the law of large numbers the.
Sampling Distributions
Design and Data Analysis in Psychology II
ESTIMATION.
Design and Data Analysis in Psychology I
Introduction to Estimating Population Means
Chapter Six Normal Curves and Sampling Probability Distributions
Chapter 8 Hypothesis Testing with Two Samples.
Chapter 7 Sampling Distributions.
Design and Data Analysis in Psychology I
Hypothesis Tests for a Population Mean in Practice
Lecture Slides Elementary Statistics Twelfth Edition
Confidence Interval (CI) for the Mean When σ Is Known
Central Limit Theorem for Proportions
Sampling Distribution
Sampling Distribution
Ten things about Inference
LESSON 4.4. MULTIPLE LINEAR REGRESSION. Residual Analysis
Design and Data Analysis in Psychology I
Design and Data Analysis in Psychology I
Confidence Intervals Chapter 10 Section 1.
Distribution of the Sample Proportion
Confidence Intervals for the Mean (σ Known)
Statistical Inference for Managers
Estimating the Value of a Parameter Using Confidence Intervals
CHAPTER 15 SUMMARY Chapter Specifics
The estimate of the proportion (“p-hat”) based on the sample can be a variety of values, and we don’t expect to get the same value every time, but the.
Design and Data Analysis in Psychology I
Chapter 7: Introduction to Sampling Distributions
Chapter 7: The Distribution of Sample Means
ESTIMATION OF THE MEAN AND PROPORTION
3.2. SIMPLE LINEAR REGRESSION
How Confident Are You?.
Presentation transcript:

Design and Data Analysis in Psychology I Salvador Chacón Moscoso Susana Sanduvete Chaves School of Psychology Dpt. Experimental Psychology 1

Lesson 7 Sample size 2

1. Introduction  The higher the sample size is, the lower the standard error is (statistic closer to the parameter).  Aim: to know the sample size required in order to obtain a standard error small enough. 3

2. Sample size. Means 4

2. Sample size. Means. Example 5 We would like to estimate the mean opinion about abortion using a questionnaire with scores from 0 to 10. A previous study found that the standard deviation in the population was 4.5. Calculate the sample size to use, with a probability of making a mistake of 0.05 and an error of 1.

2. Sample size. Means. Example 6 We will need a sample size equal to 78 in order to estimate the mean opinion in the population with α=0.05 and an error of 1

3. Sample size. Proportions 7 σ and π come from the population or a previous study. If π is unknown, we will take π(1- π)=0.25

3. Sample size. Proportions. Example 8 Calculate the sample size in a study of proportions knowing that the parameter is about 0.7, we would like to obtain a error equal to 0.1, and we would like to have a probability of getting right of 0.95.

3. Sample size. Proportions. Example 9 We needed a sample size equal to 81 in order to estimate the proportion in the population (0.7) with α=0.05 and an error of 0.1