Social Studies, 26.06.2019 01:30, tilsendt

The number of participants within a study influences the amount of statistical power a test attains. true or false

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Advanced Placement (AP), 26.06.2019 15:00, carlossauceda0

(adapted from m. m. duguid and j. a. goncalo, living large: the powerful overestimate their own height. ) in a study of power and self-image, participants were not told the true purpose of the study; instead, they believed they were participating in a business simulation. researchers randomly assigned participants to a high power(n = 44) or low-power (n = 44) condition. in the high-power condition, participants recalled a time when they had power over others, and in the low-power condition, they recalled a time when others had power over them. participants were asked to adjust the height (in centimeters) of an electronic graphical image (an avatar)of themselves to reflect their personal appearance. results indicated a statistically significant difference in participants’ perceptions of their own height across the two conditions. participants in the high-power condition created taller self-images (mean = 6.0, standard deviation = 1.5) than participants in the low-power condition(mean = 4.0, standard deviation = 1.0). * describe independent variable- describe how researchers measured the independent variable- explain why the researchers can conclude that there is a cause-and-effect relationship between the independent and dependent variables. - explain what statistical significance means in the context of the study.- explain why debriefing would be necessary in the study. -

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SAT, 14.07.2019 08:20, Yumimiku6539

Which of the following statements concerning statistical probability is not true? a. probability involves the level of certainty a researcher has in a circumstance or event taking place. b. probability influences how much a researcher is able to generalize research results back to the population. c. probability influences whether or not a researcher can claim statistical significance. d. probability levels for finding statistical significance increase as statistical power decreases.

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Health, 29.07.2019 14:20, jroig42

In one research study, 17 out of 100 (17/100) participants were given test drug x. in another study, 135 out of 1,000 (135/1000) participants were given test drug y. which statement correctly compares the number of participants that were given the test drugs? a: tens times as many participants received test drug y than test drug x. b: more participants received test drug x than test drug y. c: a greater percentage of people received test drug x than test drug y. d: a total of 1,100 participants received test drugs x and y.

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Health, 24.09.2019 02:00, linreaburg

Which statement about the relationship between statistical power and statistical probability is true? there is an indirect relationship between statistical power and statistical probability. statistical probability is not influenced by statistical power. as statistical probability increases, statistical power decreases. a statistical test having high power also has high probability for finding significant support. o

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