JoAnnah Michael PRTSM 504: Data Mgmt. and Appls. in PRTSM Dr. Myron Floyd   December 16, 2013.

Slides:

Advertisements

Similar presentations

Basic guidelines regarding statistical tests (Chi-Square) If you want to know if theres a relationship between two categorical variables (with two of more.

Advertisements

2  How to compare the difference on >2 groups on one or more variables  If it is only one variable, we could compare three groups with multiple ttests:

Advanced Data Analysis – Mean Comparisons Research Issues  Common for marketers to need to compare an empirical mean to other means Theoretical – some.

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.

Chapter 17: Statistical Analysis. CONTENTS The statistics approach Statistical tests – Types of data and appropriate tests – Chi-square – Comparing two.

Statistical Analyses: Chi-square test Psych 250 Winter 2013.

Testing means, part III The two-sample t-test. Sample Null hypothesis The population mean is equal to  o One-sample t-test Test statistic Null distribution.

REVIEW OF BASICS PART II Probability Distributions Confidence Intervals Statistical Significance.

Chapter 8 The t Test for Independent Means Part 1: March 6, 2008.

T-Test Independent-Samples t Test. T-Test  =.05 p p (.184) >  (.05) Retain H 0 : Equal Variances Assumed, Homogeneity of Variance Assumption is met.

Dr. Michael R. Hyman, NMSU Differences Between Group Means.

DATA ANALYSIS I MKT525. Plan of analysis What decision must be made? What are research objectives? What do you have to know to reach those objectives?

Differences Between Group Means

Overview of Lecture Parametric Analysis is used for

By: Thu-Anh Le, Lily Han & Samantha Haber Introduction Typically, in society, when it comes to physical appearances and looks, it is believed that females.

11 Comparison of Two Means Tests involving two samples – comparing variances, F distribution TOH - x A = x B ? Step 1 - F-test  s A 2 = s B 2 ? Step.

Statistics 101 Class 9. Overview Last class Last class Our FAVORATE 3 distributions Our FAVORATE 3 distributions The one sample Z-test The one sample.

STATISTICS David Pieper, Ph.D.

Data Analysis Statistics. Inferential statistics.

Hypothesis Testing.

Hypothesis Testing and T-Tests. Hypothesis Tests Related to Differences Copyright © 2009 Pearson Education, Inc. Chapter Tests of Differences One.

Comparing means Norhafizah Ab Manan. After class, you should Understand independent t test, paired t test and ANOVA Know how to calculate the t statistics.

Means Tests Hypothesis Testing Assumptions Testing (Normality)

Analysis & Interpretation: Individual Variables Independently Chapter 12.

Aim: How do we test a comparison group? Exam Tomorrow.

1 Level of Significance α is a predetermined value by convention usually 0.05 α = 0.05 corresponds to the 95% confidence level We are accepting the risk.

- Interfering factors in the comparison of two sample means using unpaired samples may inflate the pooled estimate of variance of test results. - It is.

Hypothesis Testing. Steps for Hypothesis Testing Fig Draw Marketing Research Conclusion Formulate H 0 and H 1 Select Appropriate Test Choose Level.

Jeopardy Chi-Squared Confidence Intervals Hypothesis Testing Vocabulary Formulas Q $100 Q $200 Q $300 Q $400 Q $500 Q $100 Q $200 Q $300 Q $400 Q $500.

Hypothesis Testing for Variance and Standard Deviation

Testing means, part II The paired t-test. Outline of lecture Options in statistics –sometimes there is more than one option One-sample t-test: review.

Exam 2 – Example Questions A new local bookstore wants to understand consumer likes and preferences. You are hired to do a marketing research study.

1 Hypothesis Testing Population Proportion (  ).

Slide Slide 1 Section 8-6 Testing a Claim About a Standard Deviation or Variance.

L. Liu PM Outreach, USyd.1 Survey Analysis. L. Liu PM Outreach, USyd.2 Types of research Descriptive Exploratory Evaluative.

Two Sample t test Chapter 9.

12: Basic Data Analysis for Quantitative Research.

PPA 501 – Analytical Methods in Administration Lecture 6a – Normal Curve, Z- Scores, and Estimation.

Chapter Seventeen. Figure 17.1 Relationship of Hypothesis Testing Related to Differences to the Previous Chapter and the Marketing Research Process Focus.

Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.

Chapter Outline Goodness of Fit test Test of Independence.

Data Lab # 4 June 16, 2008 Ivan Katchanovski, Ph.D. POL 242Y-Y.

p-value use to determine if there’s a “statistically significant difference” between groups of data probability of error by convention, if p > 0.05, then.

- We have samples for each of two conditions. We provide an answer for “Are the two sample means significantly different from each other, or could both.

Hypothesis Testing with TWO Samples. Section 8.1.

T tests comparing two means t tests comparing two means.

Hypothesis Testing with TWO Samples. Section 8.1.

What statistical tests have we learned so far? Descriptive statistics (chp. 12) –Mean, median, mode –Frequency of each response (frequencies), range, standard.

S519: Evaluation of Information Systems Social Statistics Inferential Statistics Chapter 9: t test.

Chapter 4 Selected Nonparemetric Techniques: PARAMETRIC VS. NONPARAMETRIC.

Chapter 10: The t Test For Two Independent Samples.

Hypothesis Testing. Steps for Hypothesis Testing Fig Draw Marketing Research Conclusion Formulate H 0 and H 1 Select Appropriate Test Choose Level.

Hypothesis Testing. Steps for Hypothesis Testing Fig Draw Marketing Research Conclusion Formulate H 0 and H 1 Select Appropriate Test Choose Level.

MARCH 18, 2014 DATA ANALYSIS. WHAT TO DO WITH DATA Take a look at your data Histogram Descriptive statistics Mean, mode, range, standard deviation/standard.

When the means of two groups are to be compared (where each group consists of subjects that are not related) then the excel two-sample t-test procedure.

Hypothesis Testing – Two Population Variances

Independent-Samples T-Test

Jeopardy Vocabulary Formulas Q $100 Q $100 Q $100 Q $100 Q $100 Q $200

Dr. Siti Nor Binti Yaacob

ANOVA: Analysis of Variance

Chapter 8 Hypothesis Testing with Two Samples.

Hypothesis Tests: One Sample

SPSS OUTPUT & INTERPRETATION

SPSS OUTPUT & INTERPRETATION

Analysis of Variance (One-Way ANOVA)

Do you know population SD? Use Z Test Are there only 2 groups to

Hypothesis Tests for Proportions

Hypothesis Tests for a Standard Deviation

Introduction to the t Test

Testing a Claim About a Standard Deviation or Variance

Presentation transcript:

JoAnnah Michael PRTSM 504: Data Mgmt. and Appls. in PRTSM Dr. Myron Floyd   December 16, 2013

Objectives The objective was to measure the usage of Carmichael Gym by On Campus and Off Campus NCSU Students. This information will be used to determine how marketing efforts should be focused to encourage gym usage. Methods Reside: Place of Residence was measured as categorical and had a numeric scale ranging from 1 to 2 (1=On Campus, 2=Off Campus). CGYM: Use of Carmichael Gym was measured as continuous and had a numerical scale ranging from 0-3 (0=Do not use, 1=1- 2 days, 2=3-4 days, 3=5 or more days). 2

Descriptive Statistics 3 Table 1: A Comparison of Gym Usage by Residence Status On Campus (n=87)Off Campus (n=298) Mean Use of Carmichael Gym Figure 1. A Comparison of Carmichael Gym Usage by NCSU Residence Status

Descriptive Statistics 3 Table 2: NCSU Students Surveyed Gender On Campus (n=87)Off Campus (n=298) Mean Use of Carmichael Gym

3 Table 3: A Comparison of Outdoor Tennis Usage by Residence Status On Campus (n=87)Off Campus (n=298) Mean Use of Carmichael Gym 0.09 Figure 3. A Comparison of Carmichael Gym Usage by NCSU Residence Status

3 Table 7: A Comparison of Usage of Tennis Courts by Residence Status On Campus (n=87)Off Campus (n=299) Mean Use of Outdoor Tennis 0.09

3 Table 2: A Comparison of Gym Usage by Gender Male (n=221)Female (n=168) Mean Use of Carmichael Gym

3 Table 4: A Comparison of Outdoor Tennis Usage by Gender Male (n=221)Female (n=168) Mean Use of Outdoor Tennis

 Is gym usage related to residence status?  Is it statistically significant?  The null hypothesis (HO):  Mean (On Campus) = Mean (Off Campus) 4 Table 2: Comparison of Mean Usage of Carmichael Gym Using Residence Status Mean Usage of Carmichael Gym Standard Deviation t-statisticP-value On Campus Off Campus

5 On Campus Off Campus Table 3: t-Test: Two Sample Assuming Equal Variances Usage of Carmichael Gym Using Residence Status

 There was no difference in time spent in the gym between the residence statuses.  P was greater than.05 (p=0.97)  We fail to reject the Null Hypothesis.  The Mean (On Campus) =Mean (Off Campus)  There is no need to adjust our marketing strategy at this time. On Campus and Off Campus students visit the gym at the same rates. 6