2 branches of stats; descriptive: takes numerical info & extracts meaning what we Inferential: what we believe and what we think drawing conclusions about variables. Variable: generic term of measurement Data set: all collected scores that is giving us quantative info. Non-Nominal variables : there not quantites the measure diff categories Numeric: Variables that we can measure tells us something about the amount Ordinal: rank in order Interval/Ratio: how much diff can add/sub/multi/divide Frequency table: 3 columns x, F & % + a ghost column, start w/ lowest to high. 2 types of graphs: Bar graph and Histogram Bar Graph: don’t touch (nonnumeric data & nominal) Histogram: touches (numeric data) no y-axis. Central tendency: mode-Nominal (value w/ the greatest frequency) Median- ordinal (middle #) Mean-interval ratio, if not skewed (average) Variability: - Range: highest-Lowest (effected by outlier) Variance: SD^2 Standard deviation: SD Raw Scores: (Z) (SD) + M Probability-all possible outcomes Intuition: based on emotion Theory: Application: (applied) evaluate effects Random/Selected sample: use chance to randomly assign whole population Independent V: get manipulated Experimental group: apart of basic research (treatment group) Comparison group= control group Dependent V: what we are interested in measuring Random assignment: putting them in a specific group Mutually exclusive: either or this or that can be true but not both Mutually exhaustive: no other options will
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