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Fundamentals of Psychology Statistics, Exams of Psychology

An overview of various statistical concepts and terms commonly used in psychology research. Topics include modes, means, medians, ranges, standard deviations, normal curves, statistical significance, populations, samples, correlation coefficients, descriptive statistics, inferential statistics, null hypotheses, p-levels, null hypothesis significance testing, confidence intervals, and effect sizes.

Typology: Exams

2023/2024

Available from 03/22/2024

DrShirleyAurora
DrShirleyAurora 🇺🇸

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Download Fundamentals of Psychology Statistics and more Exams Psychology in PDF only on Docsity! Psychology module 3 mode - the most frequently occurring score(s) in a distribution mean - the arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores median - the middle score in a distribution range - the difference between the highest and lowest scores in a distribution standard deviation - a computed measure of how much scores vary around the mean score normal curve - the symmetrical bell-shaped curve that describes the distribution of many physical and psychological attributes. most scores fall near the average, and fewer and fewer scores lie near the extremes statistical significance - a statistical statement of how likely it is that an obtained result occurred by chance population - a group of people whose behavior is of interest to researchers; from this group, one or more samples are selected for measurement sample - a group of people whose behavior is measured; this group is drawn from a larger population, and the sample results are usually generalized to the population correlation coefficient (r) - a statistic that indicates the precise numerical relationship between two variables; r can range from -1.0 to +1.0 descriptive statistics - numbers calculated from a distribution of scores, indicating the central tendency (average) and the variability (amount of scatter around the average) inferential statistics - numbers calculated from a distribution of scores to provide evidence supporting or opposing a hypothesis null hypothesis - a statistical assumption about the absence of an effect (no difference between two values) p-level - probability of finding a difference that is equal to or greater than what was actually measured, assuming that the null hypothesis is true null hypothesis significance testing (NHST) - way of evaluating results by comparing the observed outcome to what would be expected if the null hypothesis is true confidence interval - a range of scores calculated such that there is a specific probability that the value of interest actually falls within that range
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