SW318 Social Work Statistics Slide 1 Estimation Practice Problem – 1 This question asks about the best estimate of the mean for the population. Recall.

Slides:



Advertisements
Similar presentations
Central Tendency- Nominal Variable (1)
Advertisements

A bar chart of a quantitative variable with only a few categories (called a discrete variable) communicates the relative number of subjects with each of.
4/4/2015Slide 1 SOLVING THE PROBLEM A one-sample t-test of a population mean requires that the variable be quantitative. A one-sample test of a population.
SW388R6 Data Analysis and Computers I Slide 1 Paired-Samples T-Test of Population Mean Differences Key Points about Statistical Test Sample Homework Problem.
One-sample T-Test of a Population Mean
Aim: How do we find confidence interval using SPSS? SPSS Assignment 3 due Thursday.
5/15/2015Slide 1 SOLVING THE PROBLEM The one sample t-test compares two values for the population mean of a single variable. The two-sample test of a population.
Assumption of normality
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7.3 Estimating a Population mean µ (σ known) Objective Find the confidence.
Detecting univariate outliers Detecting multivariate outliers
Chi-square Test of Independence
1 Business 90: Business Statistics Professor David Mease Sec 03, T R 7:30-8:45AM BBC 204 Lecture 21 = Start Chapter “Confidence Interval Estimation” (CIE)
Multiple Regression – Assumptions and Outliers
Multiple Regression – Basic Relationships
8/2/2015Slide 1 SPSS does not calculate confidence intervals for proportions. The Excel spreadsheet that I used to calculate the proportions can be downloaded.
Regression Analysis We have previously studied the Pearson’s r correlation coefficient and the r2 coefficient of determination as measures of association.
Assumption of Homoscedasticity
SW388R6 Data Analysis and Computers I Slide 1 One-sample T-test of a Population Mean Confidence Intervals for a Population Mean.
Problem 1: Relationship between Two Variables-1 (1)
8/9/2015Slide 1 The standard deviation statistic is challenging to present to our audiences. Statisticians often resort to the “empirical rule” to describe.
SW388R7 Data Analysis & Computers II Slide 1 Assumption of normality Transformations Assumption of normality script Practice problems.
SW388R7 Data Analysis & Computers II Slide 1 Multiple Regression – Basic Relationships Purpose of multiple regression Different types of multiple regression.
Correlation Question 1 This question asks you to use the Pearson correlation coefficient to measure the association between [educ4] and [empstat]. However,
SW388R7 Data Analysis & Computers II Slide 1 Multiple Regression – Split Sample Validation General criteria for split sample validation Sample problems.
Mann-Whitney and Wilcoxon Tests.
Sampling Distribution of the Mean Problem - 1
Slide 1 SOLVING THE HOMEWORK PROBLEMS Simple linear regression is an appropriate model of the relationship between two quantitative variables provided.
8/20/2015Slide 1 SOLVING THE PROBLEM The two-sample t-test compare the means for two groups on a single variable. the The paired t-test compares the means.
8/23/2015Slide 1 The introductory statement in the question indicates: The data set to use: GSS2000R.SAV The task to accomplish: a one-sample test of a.
SW388R7 Data Analysis & Computers II Slide 1 Assumption of Homoscedasticity Homoscedasticity (aka homogeneity or uniformity of variance) Transformations.
9/18/2015Slide 1 The homework problems on comparing central tendency and variability extend the focus central tendency and variability to a comparison.
Range, Variance, and Standard Deviation in SPSS. Get the Frequency first! Step 1. Frequency Distribution  After reviewing the data  Start with the “Analyze”
Chapter 8: Confidence Intervals
The Normal Distribution Chapter 3 College of Education and Health Professions.
SW388R6 Data Analysis and Computers I Slide 1 Central Tendency and Variability Sample Homework Problem Solving the Problem with SPSS Logic for Central.
Chi-Square Test of Independence Practice Problem – 1
Stepwise Multiple Regression
110/10/2015Slide 1 The homework problems on comparing central tendency and variability extend our focus on central tendency and variability to a comparison.
SW318 Social Work Statistics Slide 1 Compare Central Tendency & Variability Group comparison of central tendency? Measurement Level? Badly Skewed? MedianMeanMedian.
SW388R6 Data Analysis and Computers I Slide 1 Independent Samples T-Test of Population Means Key Points about Statistical Test Sample Homework Problem.
SW388R7 Data Analysis & Computers II Slide 1 Hierarchical Multiple Regression Differences between hierarchical and standard multiple regression Sample.
6/4/2016Slide 1 The one sample t-test compares two values for the population mean of a single variable. The two-sample t-test of population means (aka.
SW388R6 Data Analysis and Computers I Slide 1 Multiple Regression Key Points about Multiple Regression Sample Homework Problem Solving the Problem with.
11/4/2015Slide 1 SOLVING THE PROBLEM Simple linear regression is an appropriate model of the relationship between two quantitative variables provided the.
Determination of Sample Size: A Review of Statistical Theory
SW318 Social Work Statistics Slide 1 Frequency: Nominal Variable Practice Problem This question asks the frequency of widowed respondents of the survey.
Perform Descriptive Statistics Section 6. Descriptive Statistics Descriptive statistics describe the status of variables. How you describe the status.
SW318 Social Work Statistics Slide 1 Measure of Variability: Range (1) This question asks about the range, or minimum and maximum values of the variable.
Chi-square Test of Independence
SW388R7 Data Analysis & Computers II Slide 1 Hierarchical Multiple Regression Differences between hierarchical and standard multiple regression Sample.
SW318 Social Work Statistics Slide 1 One-way Analysis of Variance  1. Satisfy level of measurement requirements  Dependent variable is interval (ordinal)
SW388R6 Data Analysis and Computers I Slide 1 One-way Analysis of Variance and Post Hoc Tests Key Points about Statistical Test Sample Homework Problem.
SW318 Social Work Statistics Slide 1 Percentile Practice Problem (1) This question asks you to use percentile for the variable [marital]. Recall that the.
SW388R6 Data Analysis and Computers I Slide 1 Percentiles and Standard Scores Sample Percentile Homework Problem Solving the Percentile Problem with SPSS.
Practice Problem: Lambda (1)
SW388R7 Data Analysis & Computers II Slide 1 Detecting Outliers Detecting univariate outliers Detecting multivariate outliers.
Review Normal Distributions –Draw a picture. –Convert to standard normal (if necessary) –Use the binomial tables to look up the value. –In the case of.
1/5/2016Slide 1 We will use a one-sample test of proportions to test whether or not our sample proportion supports the population proportion from which.
SW388R6 Data Analysis and Computers I Slide 1 Comparing Central Tendency and Variability across Groups Impact of Missing Data on Group Comparisons Sample.
1 ES Chapters 14 & 16: Introduction to Statistical Inferences E n  z  
2/24/2016Slide 1 The standard deviation statistic is challenging to present to our audiences. Statisticians often resort to the “empirical rule” to describe.
(Slides not created solely by me – the internet is a wonderful tool) SW388R7 Data Analysis & Compute rs II Slide 1.
Lab 4: Alpha and Standard Error of Measurement. Reliability Reliability refers to consistency Types of reliability estimates – Test-retest reliability.
Active Learning Lecture Slides
Descriptive Statistics
The Normal Curve and Sampling Error
Assumption of normality
Political Research & Analysis (PO657) Session V- Normal Distribution, Central Limit Theorem & Confidence Intervals.

Multiple Regression – Split Sample Validation
Presentation transcript:

SW318 Social Work Statistics Slide 1 Estimation Practice Problem – 1 This question asks about the best estimate of the mean for the population. Recall that estimation of mean requires the variable of interest to be ordinal or interval level variable and [educ] is an interval level variable. The best estimate of the true mean for population that the sample represents is the sample mean. Thus, all we need to know to answer this question is the mean of [educ] in this data set of the sample.

SW318 Social Work Statistics Slide 2 Estimation of Population Mean in SPSS (1) Recall that you could get the basic statistics such as mean, standard deviation, standard error of the mean using: Analyze > Descriptive Statistics > Descriptives…

SW318 Social Work Statistics Slide 3 Estimation of Population Mean in SPSS (2) After select and move the variable [educ] to the “Variable(s):” box, click on “Options…” button.

SW318 Social Work Statistics Slide 4 Estimation of Population Mean in SPSS (3) Second, click “Continue” in the “Descriptives: Options” dialog box. Then, click on “OK” in the Descriptives dialog box. First, make sure Mean, Kurtosis, and Skewness were selected in the “Descriptives: Options” dialog box.

SW318 Social Work Statistics Slide 5 Estimation of Population Mean in SPSS (4) The skewness of the distribution (-.514) was between -1 and +1, but the kurtosis of the distribution (1.899) fell outside the range from -1.0 to However, the Central Limit Theorem tells us that the sampling distribution of means will be normally distributed if the sample size is 50 or larger, even if the variable itself is not normally distributed. Since the number is our sample is 665, we can apply the Central Limit Theorem in this problem. True is the correct answer to the problem. The mean for "highest year of school completed" [educ] of the sample in the data set was The best estimate of the population is The SPSS output shows that the sample mean of [educ] is Recall that the best estimation of the population mean is the sample mean. Thus the best estimate of the population mean of [educ] is

SW318 Social Work Statistics Slide 6 Confidence Interval Practice Problem – 1 This question asks about the 99% of confidence interval for the population mean of [tvhours].

SW318 Social Work Statistics Slide 7 Confidence Interval in SPSS (1) To find the 99% of confidence interval of [tvhours], go to: Analyze > Descriptive Statistics > Explore…

SW318 Social Work Statistics Slide 8 Confidence Interval in SPSS (2) Then, click “Statistics…” button. In the “Explore” window, select and move [tvhours] to “Dependent List:” box.

SW318 Social Work Statistics Slide 9 Confidence Interval in SPSS (3) In the Explore: Statistics dialog box, make sure “Descriptives” was checked and type in the level of confidence, 99% in this case, into “Confidence Interval for Mean:” box. Click “Continue” to close the Explore Statistics dialog box. Then click “OK” to close the Explore dialog box.

SW318 Social Work Statistics Slide 10 Confidence Interval in SPSS (4) Before you get your answer and close the output window, you might want to check the distribution of this sample data set. In the SPSS output of “Explore”, Skewness and Kurtosis were provided. It shows that the [tvhours] in this sample was not normally distributed because both skewness (2.880) and kurtosis (13.374) were larger than 1. However, the Central Limit Theorem tells us that the sampling distribution of means will be normally distributed if the sample size is 50 or larger, even if the variable itself is not normally distributed. Since the number is our sample is 227, we can apply the Central Limit Theorem in this problem.

SW318 Social Work Statistics Slide 11 Confidence Interval in SPSS (5) The SPSS output shows that the lower bound of the 99% confidence interval was 2.79 and the upper bound of the 99% confidence interval was Thus, we can be 99% confident that the true population mean for [tvhours] is between 2.79 and The answer to the question is true.

SW318 Social Work Statistics Slide 12 Confidence Interval Practice Problem – 2 This question asks about the 99% of confidence interval for the mean of [tvhours]. Note that the estimation of the population mean requires that the variable be interval or ordinal. Since [rincom98] is ordinal, you could estimate the true mean of this variable. However, since not all data analysts agree with the convention of computing standard scores for ordinal variables, a caution will be added to any true findings.

SW318 Social Work Statistics Slide 13 Confidence Interval in SPSS (6) Click on “Dialog Recall” icon in the Icon Bar to redo the “Explore” for [rincome98].

SW318 Social Work Statistics Slide 14 Confidence Interval in SPSS (7) After select and move [rincome98] to “Dependent List:” box, click “Statistics…” button.

SW318 Social Work Statistics Slide 15 Confidence Interval in SPSS (8) Make sure the level of confidence is the value you want, 99% in this case and click “Continue” and “OK”.

SW318 Social Work Statistics Slide 16 Confidence Interval in SPSS (9) The SPSS output shows that The lower bound of the 99% confidence interval was The upper bound of the 99% confidence interval was Thus, we can be 99% confident that the actual mean for "income" is between and However, this findings should be taken with caution because [rincome98] is an ordinal level variable. True with caution is the correct answer.

SW318 Social Work Statistics Slide 17 Steps in solving estimation & confidence interval problems - 1 The following is a guide to the decision process for answering homework problems about estimation & confidence interval: Is the variable ordinal or interval level? Incorrect application of a statistic Yes No Compute the mean, skewness, and kurtosis for the data set.

SW318 Social Work Statistics Slide 18 Steps in solving estimation & confidence interval problems - 2 Yes No Assumption of normality satisfied? (skew, kurtosis between -1.0 and + 1.0) No Sample size 50+ so Central Limit Theorem applies? Incorrect application of a statistic Yes

SW318 Social Work Statistics Slide 19 Steps in solving estimation & confidence interval problems - 3 Is the variable ordinal level? Yes No Examine the sample mean as the best estimation of the true population mean and lower and upper bounds of the confidence interval of 95% or 99% confidence level. Statistical values for the estimation of the population mean and confidence interval correct? False Yes No True with caution True