# Class Notes for PSYC 212 at Towson University (TU)

• 16 Results
TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 1: Descriptive Statistics, Human Hair Color, Categorical Variable

OC10842473 Page
20 Sep 2016
3
The basics: intro to statistics, variables, and research methods. What are statistics: statistics are used to summarize large amounts of information (d
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 12: 18S Ribosomal Rna, Standard Deviation, Null Hypothesis

OC10842474 Page
3 Nov 2016
2
In an independent t-test, we compared two different groups of individuals on the same continuous outcome measure: for example, group a receives a treat
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 2: Bar Chart, Histogram, Chartjunk

OC10842474 Page
20 Sep 2016
4
What is a frequency distribution: are used to display large amounts of data. Most commonly done using a table or a graph. The table shows the number (t
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 13: Bonferroni Correction, Type I And Type Ii Errors, Dependent And Independent Variables

OC10842476 Page
6 Dec 2016
1
We use a between-subjects anova to compare three or more separate groups of people on the same continuous outcome measure. Why is it called a (cid:862)
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 8: Test Statistic, Statistical Hypothesis Testing, Descriptive Statistics

OC10842473 Page
3 Nov 2016
3
An illustration of standard error: let"s sa(cid:455) (cid:449)e ha(cid:448)e the follo(cid:449)i(cid:374)g s(cid:272)ores i(cid:374) our sa(cid:373)ple
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 6: Extraversion And Introversion

OC10842475 Page
3 Nov 2016
3
We can only use one-way 2 when we know what the population percentages are (cid:894)(cid:449)hi(cid:272)h (cid:449)e ofte(cid:374) do(cid:374)"t(cid:89
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 4: Interquartile Range, Box Plot, Squared Deviations From The Mean

OC10842473 Page
20 Sep 2016
4
Measures of variability: describing the spread of a distribution. What is variability: variability tells us how spread out the score in our sample are.
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 3: Central Tendency, Mexican Peso

OC10842472 Page
20 Sep 2016
3
What does average mean: our goal is to find one value that best represents an entire group of scores. This is what we call our measure of central tende
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 10: Analysis Of Variance, Type I And Type Ii Errors, Null Hypothesis

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3 Nov 2016
2
What is a hypothesis: a hypothesis predicts a relationship between variables, or a difference between groups. It should be grounded in previous researc
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 15: Scatter Plot

OC10842473 Page
6 Dec 2016
1
We can use a pearson correlation (r) to see if they are related. When to use pearson correlation: see how two variables are related to each other. E. g
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 14: Univariate, General Linear Model, Standard Deviation

OC10842473 Page
6 Dec 2016
0
One-way vs. factorial anova: one-way anovas Between-subjects anova compares 3+ separate groups of people. Within-subjects anova compares 3+ measures of
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TUPSYC 212KukuckaFall

## PSYC 212 Lecture Notes - Lecture 16: Standard Error, Multicollinearity, Scatter Plot

OC10842473 Page
6 Dec 2016
1
Regression: when we discussed correlations, we mentioned how you can imagine drawing a line on a scatterplot that summarizes the relationship. This str
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