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This 2 page Reader was uploaded by Annabelle Hutson on Saturday September 5, 2015. The Reader belongs to a course at a university taught by a professor in Fall. Since its upload, it has received 72 views.
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Date Created: 09/05/15
Psych 105 Preszler Week 1 Day 1 Statistics Frequency Distribution 0 Definition A graph summary of how various scores occur 0 Always a histogram a bar graph where the bars touch Population and Sample 0 Population a complete set of the subjects of interest 0 Sample a portion of the population 0 Ex a class might be either a population or a sample Measurements of central tendency Mean the average of a set overly sensitive to out liars Add all the numbers and divide by the number of cases people EX 1236 63 2 the mean is 2 because Median the score in the middle of the data not sensitive to out liars Count inward to find the number in the middle of the string of numbers EX 1 2 3 4 5 6 7 the mean is 4 because it is in the middle Mode score that occurs most frequently EX 1 2 2 5 9 8 the mode is 2 because 2 appears more frequently Measures of variability Range highest score minus lowest EX 1234 4highest 1lowest Variance squared average difference of each case from the mean Standard Deviation square root of the sum of the squared deviations around the mean divided by the number of scores in the distribution Normal Distribution o It appears as a quotbell curvequot symmetrical o The 68 95997 rule with one standard deviations 68 of your cases will fall within two standard deviations 95 of your cases will fall and within three standard deviations 997 of your cases will fall 2 Scores 0 Related to the quotnormal curvequot is the concept of the zscore 0 Calculated like this X mean Standard Deviation 0 Data that is normed on standard deviation Day 2 Measures of variability Variance is really the average sum of the squares of the deviants Take the case subtract the mean square that answer Add all of those together and divide by the number of cases Look up central limit theorem Ttest looks at different means and measures the difference Analysis of variants compare as many groups as you want measures variance between them Type 1 Error concluding that a null hypothesis is false when in reality it is true 0 Null Hypothesis hypothesis in data that says there is no real difference between two or more groups Type 2 Error Believing the null hypothesis is true when in reality it is false Correlation relationship between two variables Correlation Coefficient the actual calculated value that is used to quantify the relationship between two variables
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