1 / 13

B AD 6243: Applied Univariate Statistics

B AD 6243: Applied Univariate Statistics. Hypothesis Testing and the T-test Professor Laku Chidambaram Price College of Business University of Oklahoma. Steps in Hypothesis Testing. Determine hypotheses (null & alternative) Select significance level (  level/p level) Choose a sample size

lori
Télécharger la présentation

B AD 6243: Applied Univariate Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. B AD 6243: Applied Univariate Statistics Hypothesis Testing and the T-test Professor Laku Chidambaram Price College of Business University of Oklahoma

  2. Steps in Hypothesis Testing • Determine hypotheses (null & alternative) • Select significance level ( level/p level) • Choose a sample size • Calculate the value of the statistic • Obtain critical value • Compare results BAD 6243: Applied Univariate Statistics

  3. Errors in Hypothesis Testing Sample (“Trial”) Population (“Truth”) BAD 6243: Applied Univariate Statistics

  4. MAXMINCON Principle • Maximize experimental variance • Design, plan and conduct research so that the experimental conditions are as different as possible • Minimize error variance • Reduce error through controlling experimental conditions • Reduce error by increasing reliability of measures • Control extraneous variance • Randomization: Groups can be considered statistically equal in all possible ways • Selection: To eliminate the effect of an extraneous variable on a dependent variable, choose subjects so that they are as homogenous as possible (on that variable) • Addition: To control the effect of an extraneous variable, build it into the research design, so as to measure its effect on the dependent variable BAD 6243: Applied Univariate Statistics

  5. Differences between Groups • Randomized groups • Random sampling; random assignment • Simple vs. factorial designs • Concerns: • (Pre-experimental) equality of groups • Unequal cell sizes • Correlated group(s) • Use same units in different treatments • Single vs. multi-group designs • Concerns: • History, maturation and sensitization BAD 6243: Applied Univariate Statistics

  6. Concepts Related to the T-test • Degrees of freedom • T-distribution vs. standard normal distribution • Level of significance • Between subjects design: • Equal sample sizes • Equal variance • Within subjects design BAD 6243: Applied Univariate Statistics

  7. Standard Normal Distribution BAD 6243: Applied Univariate Statistics

  8. t Distributions t-distributions refer to a family of distributions, which like normal distributions, are bell-shaped, but whose shape changes with the sample size; smaller sample sizes have flatter distributions, while larger sizes approximate normal distributions BAD 6243: Applied Univariate Statistics

  9. Independent Samples t-test BAD 6243: Applied Univariate Statistics

  10. Independent Samples Error Bar BAD 6243: Applied Univariate Statistics

  11. T-test as a Regression Model BAD 6243: Applied Univariate Statistics

  12. Dependent Samples T-test BAD 6243: Applied Univariate Statistics

  13. Dependent Samples Error Bar BAD 6243: Applied Univariate Statistics

More Related