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A compilation of key formulas and unit conversions for applied healthcare statistics. It covers topics such as metric prefixes, temperature conversions, slope-intercept form, inequalities, measures of center and spread, graphical displays for one and two variable data sets, and probability formulas. It includes practical tips and rules for statistical analysis, making it a useful reference for students studying healthcare statistics. Well-organized and presents the information in a clear and concise manner, facilitating easy memorization and application of the formulas.
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Applied Healthcare Statistics These are the main formulas and unit conversions we recommend focusing on. You will have to memorize all formulas for the objective assessment. Module 2: Commonly Used Metric Prefixes: Prefix Symbol Meaning kilo k 1000 hecto h 100 deka da 10 base - 1 deci d 0. centi c 0. milli m 0. *Remember: K ing H enry D anced B asically D rinking C hocolate M ilk 1 kg = 2.2 lbs Temperature Conversions: F = 1.8C+
Module 3: Slope intercept form of a line: y=mx + b
Basic tips for inequalities in one-variable: < or > is graphed using an open circle ยฐ โค or โฅ is graphed using a filled circle โข Flip the direction of the inequality sign when multiplying or dividing by a negative Module 4 Measures of Center:
Module 5: Determining graphical displays for two variables data set Classification Display Numerical Measures ๐ถ โ ๐ถ (^) Two-way Table Conditional Percentages ๐ถ โ ๐ (^) Side-by-side Boxplot 5 - Number Summary ๐ โ ๐ (^) Scatterplot Correlation Coefficient Module 6 Correlation Coefficient (r): R is always between โ 1 and 1. Positive trend= positive slope= positive r Negative trend = negative slope= negative r
Remove Outlier Effect on R-Value: Module 7: Probability formulas: Rule Operation Formula Key Word Addition Rule Add & Subtract any overlap P(A or B)= P(A)+P(B)-P(A and B) or, either Multiplication Rule Multiply Not Conditional: P(A and B)=P(A)P(B) Conditional: P(A and B)=P(A)P(B|A) and, both Conditional Probability Divide OR if, of, given Complement Rule Subtraction P(not A)=1-P(A) not