Finding Standard Error. Standard error The standard error is the standard deviation of a sampling distribution – we have three types of standard errors:

Slides:

Advertisements

Similar presentations

CCCC 8 CCCC CCCC 8 CCCC.

Advertisements

CCCC CCCC CCCC CCCC.

1 Finding Sample Variance & Standard Deviation  Given: The times, in seconds, required for a sample of students to perform a required task were:  Find:

Distribution of Sample Means, the Central Limit Theorem If we take a new sample, the sample mean varies. Thus the sample mean has a distribution, called.

Measures of Spread The Range, Variance, and Standard Deviation.

Lesson #17 Sampling Distributions. The mean of a sampling distribution is called the expected value of the statistic. The standard deviation of a sampling.

SOLUTIONS & SOLUBILITIES SOLUTION AND SOLUBILITIES2 TERMS Solution: a homogeneous mixture containing particles the size of a typical ion or covalent.

Mean, Variance, and Standard Deviation for Grouped Data Section 3.3.

Discussing the student measurements of building height. Letting them originate concepts for: Multiple measures Mean Standard Deviation Outliers / identifying.

Measures of dispersion Standard deviation (from the mean) ready.

Quiz 2 Measures of central tendency Measures of variability.

Patterns and Processes

Mean Variance Standard Deviation

Statistics for the Behavioral Sciences Second Edition Chapter 11: The Independent-Samples t Test iClicker Questions Copyright © 2012 by Worth Publishers.

Measures of Variability Objective: Students should know what a variance and standard deviation are and for what type of data they typically used.

Go to index Two Sample Inference for Means Farrokh Alemi Ph.D Kashif Haqqi M.D.

1 Extracts were taken from nine leaf cells and the pH of each was measured. The results were as follows: 6.5, 5.9, 5.4, 6.0, 6.1, 5.9, 5.8, 5.6, 5.9 

July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 7 - Sampling Distribution of Means.

Populations and Samples Central Limit Theorem. Lecture Objectives You should be able to: 1.Define the Central Limit Theorem 2.Explain in your own words.

Section 5.4 Sampling Distributions and the Central Limit Theorem Larson/Farber 4th ed.

Chapter 7 Sampling and Sampling Distributions ©. Simple Random Sample simple random sample Suppose that we want to select a sample of n objects from a.

Distribution of the Sample Mean (Central Limit Theorem)

1.State your research hypothesis in the form of a relation between two variables. 2. Find a statistic to summarize your sample data and convert the above.

6.3 THE CENTRAL LIMIT THEOREM. DISTRIBUTION OF SAMPLE MEANS  A sampling distribution of sample means is a distribution using the means computed from.

9.1 Notes Geometric Mean. 9.1 Notes Arithmetic mean is another term that means the same thing as average. The second do now question could have been,

Chapter 18: Sampling Distribution Models

Powers and roots. Square each number a) 7 b) 12 c) 20 d) 9 e) 40 a) 49 b) 144 c) 400 d) 81 e) 1600.

Physics Jeopardy!. $100 $200 $300 $400 $500 Newton’s Laws EnergyMomentum Circular Motion GravitationThermo.

1 Mean Analysis. 2 Introduction l If we use sample mean (the mean of the sample) to approximate the population mean (the mean of the population), errors.

2.4 Measures of Variation Coach Bridges NOTES. What you should learn…. How to find the range of a data set How to find the range of a data set How to.

Standard Deviation A Measure of Variation in a set of Data.

Confidence Interval for a Single Proportion p-hat, not phat.

Einsteinium By: Carrington Austin 99 Es 252. Properties and Uses There are no properties, Einsteinium is too small There are no properties, Einsteinium.

© A B C D 78 A1A2A3A4 B1 B2 B3B4 C1C2 C3C4 D1D2D3D4 A5A6A7A8 B5B6B7B8 C5C6C7C8 D5D6D7D8 Questions: Ships Remaining: © 2012.

Homogeneity of Variance Pooling the variances doesn’t make sense when we cannot assume all of the sample Variances are estimating the same value. For two.

Measures of Variation. Range, Variance, & Standard Deviation.

THE CENTRAL LIMIT THEOREM. Sampling Distribution of Sample Means Definition: A distribution obtained by using the means computed from random samples of.

Jigsaw cards for LARGE classes Use these cards for classes with 24 or more students. Distribute letter cards evenly. If you have 32 students, pass out.

The reading is 7.38 mm. The reading is 7.72 mm.

Significance Test: Paired t- Test (dependent t- Test)

Sampling and Sampling Distributions

Chapter 7 Review.

Factoring: Dividing Out

Section 7.1 Central Limit Theorem

Title Author names affiliation,

Review of Chapter 11 Comparison of Two Populations

Standard Deviation Example

عمل الطالبة : هايدى محمد عبد المنعم حسين

Square root of Fraction and Decimal

آشنايی با اصول و پايه های يک آزمايش

Standard Deviation Calculate the mean Given a Data Set 12, 8, 7, 14, 4

Statistical Process Control

Square root Prime factorization

Basic Concepts PhD Course.

Chapter 13 Group Differences

Homogeneity of Variance

Standard Deviation (SD) & Standard Error of the Mean (SEM)

Standard deviation Spearman's Rank Correlation Chi squared test

Sampling Distribution of the Mean

Chapter 24 Comparing Two Means.

Sample Standard Deviation

C.2.10 Sample Questions.

Standard Deviation!.

C.2.8 Sample Questions.

C.2.8 Sample Questions.

Types of Errors And Error Analysis.

Completing the Square pages 544–546 Exercises , – , –2

The Mean Variance Standard Deviation and Z-Scores

Presentation transcript:

Finding Standard Error

Standard error The standard error is the standard deviation of a sampling distribution – we have three types of standard errors: Standard error of the mean – used with one sample Standard error of the difference between the means – used with independent samples Standard error of the mean of the differences – used with dependent or paired samples

One sample s m = standard error of the mean S = standard deviation n = number of participants Find the standard deviation of the sample, divide by the square root of N

Two Independent Samples S m1-m2 =Standard error of difference between the means Find Standard deviation of each separate sample (S1 and S2) Pool(average) standard deviations Standard error of Difference between the means

Paired or Dependent Samples Standard error of mean of differences First memberSecond member Differences A1A2A1-A2 B1B2B1-B2 C1C2C1-C2 D1D2D1-D2 E1E2E1-E2

Paired or Dependent Samples Standard error of mean of differences S md We work with the Differences S md = standard error of mean of differences S d = standard deviation of the differences n = number of pairs