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Biostatistics
scientic notation and ect.
| Question | Answer |
|---|---|
| Denotation | from the dictionary |
| Connotation | |
| Empirical | can be diminstrated |
| Objective | same for everyone |
| Significand ( Mantissa or coefficient) | {3.25}X10^3 |
| Exponent | 3.25X10^{3} |
| Falsifiable | be able to prove false |
| Converting numbers to scientific notation | n Move the decimal separator the desired number of places to the left or right, so that the mantissa will be between 1 and 10. n If you moved the decimal point n places to the left then multiply by 10n. n If you moved the decimal point n places to th |
| Nominal Scale | list of catagories that can be classified |
| Ordinal Scale | a scale that assigns values to objects based on their ranking to one another |
| Interval Scale | same meaning no matter where on the scale you are |
| Ratio Scale | same as Interval Scales but w/ a constant value but no neg.#'s |
| Data Set | unorganized data |
| Data array | organized data |
| Accuracy | closeness of the measurement to the actual value |
| Precision | closeness of repeated measure of the same quantity |
| Population | all the measurements of a given variable -frequently very large |
| Sample | a subgroup of population |
| Random | each member has an equal chance of being in the sample |
| Parameter | true value of the variable for population |
| Statisitic | est. of a parameter |
| Parsimony | simpliest explaination |
| Range | the measure of variability |
| Xi--the ith value of the variable in a data array 1 3 7 13 21 31 Xi=1 X3=7 X6=31 | X=data |
| N | The total number of values in the population |
| u | population mean |
| E | summation or sum |
| Median (M) | the middle measurement in an ordered set of data |
| Symmetrical distribution | same size on each side of graph |
| Mode | The number on the X-axis for the highest bar on the graph |
| Variability | an indication of the spread of measurement around the center of the distribution |
| (SS) | Sum of Squares |
| upsidedown lowercase sigma e | population variance -mean sum of squares |
| The shape, to a large degree, is determined by the: | standard diviation |
| The position of the curve is determined by the: | mean |
| Symmetry | the distribution may not be symmetrical around the mean "skewed" right or left |
| Kurtosis | "peakedness"-a distribution may be too "pointy"(leptodurtic) or may be too flat(platykurtic) |