WHS AP Psychology Unit 3 Science of Psychology

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WHS AP Psychology Unit 3: Science of Psychology Essential Task 3 -6: Apply basic

WHS AP Psychology Unit 3: Science of Psychology Essential Task 3 -6: Apply basic statistical concepts to explain research findings: - Descriptive Statistics: Central Tendency (mean, median, mode, skewed distributions) Variance ( range, standard deviation, and normal distributions)

Approaches Growth of Psych to Psych Careers The Science of Psychology Ethics Research Statistics

Approaches Growth of Psych to Psych Careers The Science of Psychology Ethics Research Statistics Methods Sampling Descriptive Correlation Naturalistic Observation Case Study Survey Experiment Descriptive Central Tendency Inferential We are here Variance

Essential Task 3 -6: Outline • Descriptive Statistics: – Central Tendency • Mean, median,

Essential Task 3 -6: Outline • Descriptive Statistics: – Central Tendency • Mean, median, and mode • skewed distributions – Variance • Range • standard deviation • normal distributions

Statistical Reasoning Statistical procedures analyze and interpret data and let us see what the

Statistical Reasoning Statistical procedures analyze and interpret data and let us see what the unaided eye misses. Composition of ethnicity in urban locales

Central Tendency • Tendency of scores to congregate around some middle variable • A

Central Tendency • Tendency of scores to congregate around some middle variable • A measure of central tendency identifies what is average or typical in a data set

Measures of Central Tendency Mode: The most frequently occurring score in a distribution. Mean:

Measures of Central Tendency Mode: The most frequently occurring score in a distribution. Mean: The arithmetic average of scores in a distribution obtained by adding the scores and then dividing by their number. Median: The middle score in a rankordered distribution.

But the mean doesn’t work in a skewed distribution The Median is a much

But the mean doesn’t work in a skewed distribution The Median is a much better measure of the center

Skewed distributions Negatively Skewed Positively Skewed

Skewed distributions Negatively Skewed Positively Skewed

Measures of Variation • Statistical dispersion (how distributed the data points are) is a

Measures of Variation • Statistical dispersion (how distributed the data points are) is a key concept in statistics. • Two key ways of measuring statistical dispersion » Range » Standard Deviation

Range • The range simply gives the lowest and highest values of a data

Range • The range simply gives the lowest and highest values of a data set.

Standard Deviation • Standard deviation gives a measure of dispersion. • Essentially, they are

Standard Deviation • Standard deviation gives a measure of dispersion. • Essentially, they are measures of the average difference between the values. • Standard deviation gives a value that is directly comparable to your mean values.

Formulas for Standard Deviation

Formulas for Standard Deviation

Standard Deviation

Standard Deviation

Standard Deviation in Action • A couple needs to be within one standard deviation

Standard Deviation in Action • A couple needs to be within one standard deviation of each other in intelligence (10 points in either direction). —Neil Clark Warren, founder of e. Harmony. com

Normal Distributions • The distribution of data also gives us key info. • We

Normal Distributions • The distribution of data also gives us key info. • We know that many human attributes… • e. g height, weight, task skill, reaction time, anxiousness, personality characteristics, attitudes etc. • …follow a normal distribution.

Normal Distribution

Normal Distribution

IQ follows a Normal Distribution Mean = 100 SD = 15

IQ follows a Normal Distribution Mean = 100 SD = 15

What percentage score below 100? Mean = 100 SD = 15

What percentage score below 100? Mean = 100 SD = 15

What percentage score below 100? Mean = 100 SD = 15

What percentage score below 100? Mean = 100 SD = 15

What percentage score above 100? Mean = 100 SD = 15 34. 1% +

What percentage score above 100? Mean = 100 SD = 15 34. 1% + 13. 6% + 2. 1%

Normal Distribution

Normal Distribution

What percentage score between 85 and 100? 34. 1% Mean = 100 SD =

What percentage score between 85 and 100? 34. 1% Mean = 100 SD = 15

Normal Distribution

Normal Distribution

What percentage score between 85 and 115? Mean = 100 SD = 15 34.

What percentage score between 85 and 115? Mean = 100 SD = 15 34. 1% + 34. 1% = 68. 2%

What percentage score between 70 and 130? Mean = 100 SD = 15 13.

What percentage score between 70 and 130? Mean = 100 SD = 15 13. 6% + 34. 1% + 13. 6% = 95. 4%

What percentage score below 70 and above 130? Mean = 100 SD = 15

What percentage score below 70 and above 130? Mean = 100 SD = 15

Interpret this graph Figure 6. The distribution of IQ scores in male and female

Interpret this graph Figure 6. The distribution of IQ scores in male and female populations. Adjusted parameter values yielded a male-female gap of 0. 162 SD in g equivalent to 2. 43 IQ points in favor of men