1 / 2

Memory and Vocabulary Performance Comparison in Young and Old Subjects

Analyzing a study of memory and vocabulary test scores of young and old subjects to determine age-related performance differences and predictability between the two groups.

renee-donaldson
Télécharger la présentation

Memory and Vocabulary Performance Comparison in Young and Old Subjects

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. Review Questions #5 • The below question are based on the following data set. A researcher tested ten young and • ten old subjects on both a memory test (MT) and a vocabulary test (VT). In both cases the • Higher the score the better the performance. • Young Old • MT VT MT VT • 101 19 115 • 95 20 120 • 20 96 16 111 • 100 17 115 • 115 14 105 • 90 12 99 • 93 15 102 • 104 11 96 • 90 13 98 • 21 108 18 110

  2. A researcher hypothesized that the young would better on both the memory • and the vocabulary tests. Is there evidence to support her hypotheses? • 2. Is there a relation between memory and vocabulary performance? • 3. What VT score would you predict for a subject with a MT score of 9? • What restrictions would you place on the prediction? • 4. Should the same regression line be used to predict the vocabulary scores from • the memory scores for both the young and the old? • 5. Is the strength of the relation between MT and VT different for young and old? • 6. Illustrate how you might convert question #2 into a Chi-Squared question. • How do the answers differ and why?

More Related