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how to collect, sumarize, analyze data w/ graphs/numerical methods |
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derived from descriptive stats & probability- make generalization, conclusions, decisions |
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characteristic/subset of population |
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summary measure that is computer to describe char. of population |
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always round up- not normal rules |
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(qualitative) if categories can't be ordered (m f) |
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(qualitative) if categories can be ordered (letter grade) |
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(quantitative) assumes finite or countable possible values |
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(quantitative) infinite, noncountable possible values (time) |
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category/group into which data classified |
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graph of cumulative distribution |
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(data symmetrical) 68% fall w/in 1 SD, 95% fall w/in 2SD, 99.7% fall w/in 3SD |
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empirical rule for z scores |
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68% have z scores between -1&1, 95% bt -2&2, 99.7% bt -3&3 |
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z scores: mild outlier | extreme outlier |
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z score bt 2 &3 | z score above 3. more sensitive than quartile method |
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quartiles: mild outlier | extreme outlier |
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bt UIF/UOF or LIF/LOF | past UOF or LOF |
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descending- only for categorical data |
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any process that can be repeated, has 1 single outcome, result cannot be predicted w/ certainty |
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any single outcome of a stat. exp. for ex Heads or Tails |
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unusual event | usual event |
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has prob <0.05 | has prob ≥ 0.05 |
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if P(A|B)=P(A) or P(AandB)=P(A)xP(B) |
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events are mutually exclusive |
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discrete random variable | continuous random variable |
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countable (finite or infinite) | uncountable (interval) |
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90%-1.645; 95%-1.96; 99.7%-2.575 |
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has single trial & only 2 mutually exclusive outcomes (M&F), P(Success) is same in each trial, all trials are independent |
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p>0.5- left skewed; p=0.5- sym; p<0.5- right skewed |
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