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25 Cards in this Set
- Front
- Back
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A histogram is most commonly used to analyze _____________ |
quant. data |
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Levels of data from low to high: (NOIR) |
Nominal, ordinal, interval, ratio |
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A histogram shows: |
approximate center, shape of dist., spread, |
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A line chart is best for __________ data. |
time-series |
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A scatter diagram can be used to |
Analyze the relationship between two variables |
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Alternative to stem & leaf: |
histogram |
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100 people take a test. Johnny is in the 70th percentile. How many ppl did better than him? |
30 ppl |
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A sample of people who have attended a college football game at your university has a mean = 3.2 members in their family. The mode number of family members is 2 and the median number is 2.0. This data has a ________ skew |
right |
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For ordinal data, ________ is the preferred measure of central location. |
median |
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The Empirical Rule states that for a bell-shaped distribution, approximately 95 percent of data should lie within _____ std devs from either side of the mean. |
2 |
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most frequently used measure of central tendency |
mean |
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Under what circumstances is it necessary to use the coefficient of variation to compare relative variability between two or more distributions? |
When the means of the distributions are not equal |
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method of probability assessment that relies on an examination of historical data from similar situations is |
relative frequency of occurrence |
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When a pair of dice are rolled, the outcome for each die can be said to be: |
independent |
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Type i errror |
false positive - accept Ho even tho it's incorrect |
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type ii error |
false positive - accept Ha even tho it's incorrect |
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ch square df: |
# rows - 1 * # columns -1 |
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central limit theorem states that: |
given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the same population will be approximately equal to the mean of the population. |
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range of feasible values for the multiple coefficient of determination |
-1 to 1 |
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distribution can be assumed normal if n>____ |
30 |
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When do you need central limit theorem? |
when sample is not normally dist. |
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A small p-value (typically ≤ 0.05) indicates strong evidence ______________________ |
against the null hypothesis, so you reject the null hypothesis. |
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in correlation analysis, the outcome variable aka.... (2) |
response/dependent var |
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risk factors/confounders are aka.... (2) |
explanatpry/indep. var |
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correlation can be s______ or w_______ and n_______ or p_________ |
strong, weak, neg, pos |
