Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Statistical Significance and Hypothesis Testing in Research, Quizzes of Psychology

Examples of scientific hypotheses and their corresponding results, along with definitions of key terms related to hypothesis testing and statistical significance. It covers concepts such as rejecting or failing to reject the null hypothesis, type 1 and type 2 error risks, and the impact of sample size, mean difference, and standard deviation on p-values.

Typology: Quizzes

2012/2013

Uploaded on 10/08/2013

alutman12
alutman12 🇺🇸

4

(2)

13 documents

1 / 7

Toggle sidebar

Related documents


Partial preview of the text

Download Statistical Significance and Hypothesis Testing in Research and more Quizzes Psychology in PDF only on Docsity! TERM 1 Scientific Hypothesis: The DV will increase. Results: Means say the DV did not increase. p = .66 DEFINITION 1 Reject the Scientific Hypothesis TERM 2 T or F? The following is enough information to make hypothesis decisions. Scientific hypothesis: DV will increase p = .01 DEFINITION 2 False TERM 3 Scientific Hypothesis: The DV will increase. Results: Means say the DV increased. p = .04 DEFINITION 3 Reject the Null Hypothesis TERM 4 Scientific Hypothesis: The DV will decrease. Results: Means say the DV decreased. p = .30 DEFINITION 4 Reject the Scientific Hypothesis TERM 5 p = .01 Results: The dependent variable increased. (Experimental group mean = 20, Control group mean = 10) From this you should believe that... DEFINITION 5 The dependent variable really increased TERM 6 Scientific Hypothesis: The DV will decrease. Results: Means say the DV decreased. p = .18 DEFINITION 6 Reject the Scientific Hypothesis TERM 7 p = .22 Significant or not? DEFINITION 7 Not statistically significant TERM 8 p = .05 High or low Type 1 error risk? DEFINITION 8 Low Type 1 Error Risk TERM 9 p = .10 Low or high Type 1 error risk? DEFINITION 9 "high" Type 1 error risk TERM 10 T or F? The following is enough information to make hypothesis decisions. Scientific hypothesis: DV will increase. Results: Means say DV increased. DEFINITION 10 False TERM 21 When N is large, p is likely to be DEFINITION 21 Low TERM 22 When the mean difference is small, p is likely to be DEFINITION 22 High TERM 23 When the mean difference is large, results are likely to be DEFINITION 23 Statistically significant TERM 24 When the standard deviation is small, this makes results more likely to be DEFINITION 24 Statistically significant TERM 25 The results of an experiment are more likely to be statistically significant when DEFINITION 25 N is large TERM 26 True or False? Inferential statistics were developed to "sniff out" small, but not necessarily reliable, effects. DEFINITION 26 True TERM 27 True or False? Sniffing out small-but- unreliable effects is useful in answering all Psychology research questions. DEFINITION 27 False TERM 28 Which of the following means "on average, the independent variable made a difference, but there were exceptions to this in many individual cases." DEFINITION 28 "small and unreliable" TERM 29 True or False? "Almost always true" results can be statistically significant. DEFINITION 29 True TERM 30 True or False? Small-and-unreliable results can be statistically significant. DEFINITION 30 True
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved