PSY 115 Stats Formula Notes

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28 Terms

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Experimental Design

Research creates group, giving each a different task, to see who does best at the task - cause & effect

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Longitudial Study

Where researchers study longer over time like 6 weeks or 20 years

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Rounding rules

4 decimal places beyond original numbers

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Sample

Group from population

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Population

Parameter, everyone in the group of people the researcher is interested in studyingS

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Sampling methods

Random

Stratified

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Random sampling

Every subject has the same chance of being picked

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Stratified sampling

Places population into groups and then samples - more representitive

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Convenience Sampling

What samples are available - always a bias

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Variable

Anything you can study in research

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Qualitative Variable

Catagorial - dunkin vs starbucks

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Quantitative Variable

Represented by a number - age

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Discrete Variable

All qualitative, some quantitative - if a number its whole

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Continuous Variable

Only a quantitative - if a number, could go on forever

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Levels of measurement

Nominal

Ordinal

Interval

Ratio

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Nominal

Catagorical data - race, gender, favorite class - each variable defined by a number instead of a name

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Ordinal

Number means something - rank ordering, position in a race - not an equal distance between numbers

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Interval

Continuous scale - equal distance between two scores - 1 inch to 2 inches, 2 inches to 3 inches - numbers have no true zero, could have no zero or negative numbers

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Ratio

Continuous scale - equal distance between two scores - 1 inch to 2 inches, 2 inches to 3 inches - numbers based, has a true zero and no negative numbers - 0 = nothing

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Quasi - Experimental

At least one independent variable is not randomly assigned

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N

Total number of scores

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Summation - add up all the scores - ∑F = N

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Relative frequency

Proportion - F/N

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Cumulative frequency

How many were at a specific score and below - very top number will always be the same as N

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Percentile

Percent version of CF - CF/N*100 - round to 2 decimal places

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In question, if asked how many _______

Look to Frequency

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In question, if asked proportion

Look to Relative Frequency

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In question, if asked what percent

Look to percentile