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Applied Healthcare Statistics Final Exam Questions and Answers. discrete data - Correct answer distinct values, can be counted, unconnected points (ex. number of students) continuous data - Correct answer values are within a range, measured not counted, no gaps between data points (ex. time in a race) less than or greater than - Correct answer marked with (parenthesis), open circle on number line less than or equal to greater than or equal to - Correct answer marked with {brackets}, closed/shaded circle on number line prime factorization - Correct answer writing the number as a product (multiplication) of any prime numbers (ex. 12= 2x2x3) greatest common factor - Correct answer the largest number that divides all the given numbers evenly (ex. 8 and 10 = 2) least common multiple - Correct answer the smallest number that can be divided by the given numbers (ex. 16 and 32 = 16) 1 tablespoon = ? teaspoons - Correct answer 3 teaspoons 1 fluid ounce = ? tablespoons - Correct answer 2 tablespoons 1 cup = ? ounces - Correct answer 8 ounces 1 pint = ? cups - Correct answer 2 cups 1 quart = ? pints - Correct answer 2 pints 1 gallon = ? quarts - Correct answer 4 quarts 1 Liter = ? milliliter (mL) - Correct answer 1000mL 1 kilogram (kg) = ? grams - Correct answer 1000 grams 1 gram = ? milligrams (mg) - Correct answer 1000 mg 1 mg = ? mcg - Correct answer 1000 mcg 1 cc = ? ml - Correct answer 1 ml 1 fluid ounce = ? ml - Correct answer 30 ml (or 2 tbsp) 1 Liter = ? quarts - Correct answer 1.057 quarts 1 tsp = ? mL - Correct answer 5 mL 1 kg = ? lb - Correct answer 2.2 lb 1 ounce = ? grams - Correct answer 28.35 grams 1 tablespoon = ? mL - Correct answer 15 mL formula to convert Celsius to Fahrenheit - Correct answer Celsius x 9/5 + 32 formula to convert Fahrenheit to Celsius - Correct answer Fahrenheit - 32 x 5/9 slope-intercept equation - Correct answer y = mx + b what does m represent in the slope-intercept equation - Correct answer slope of the line what does y represent in the slope-intercept equation - Correct answer y intercept Slope of a line - Correct answer Rise/Run Rise/Run - Correct answer (y2 - y1) / (x2 - x1) overall percentages - Correct answer computed by dividing each frequency by the grand total side by side box plots - Correct answer C -> Q, a box plot is displayed for each category of the explanatory variable on the same graph scatterplot - Correct answer Q -> Q data create ordered pairs that are graphed ont he coordinate plane positive correlation - Correct answer scatterplot, Q -> Q as the explanatory variable increases, the response variable increases negative correlation - Correct answer scatterplot, Q -> Q as the explanatory variable increases, the response variable decreases no correlation - Correct answer scatterplot, Q -> Q no trends between variables non-linear relationship - Correct answer scatterplot, Q -> Q scatterplot reveals a trend that is NOT a straight line second quartile - Correct answer Q2 the median first quartile - Correct answer Q1 the median of the data below Q2 third quartile - Correct answer Q3 the median of the data aboe Q3 standard deviation - Correct answer the average distance each data point is from the mean Empirical Rule - Correct answer for normal distributions 68% of data is within 1 standard deviation of the mean 95% of data is within 2 standard deviations of the mean 99.7% of data is within 3 standard deviations of the mean Simpson's Paradox - Correct answer -occurs when a result that appears in groups of data disappears when the groups are combines -can only occur when the sizes of the groups are inconsistent lurking variables - Correct answer variable not included in the study but affects the variable that are included in the study regression equation - Correct answer an equation modeling the relationship between two quantitative variables simple linear equation - Correct answer AKA regression line or line of best fit -x is the explanatory variable -y is the response variable -equation is y = mx + b -used to predict data (plug in values for x and find corresponding values for y) linear interpolation - Correct answer predictions between known data points linear extrapolation - Correct answer predictions larger or small than the known data points p-value - Correct answer the probability of data occurring by chance significant level - Correct answer the probability threshold, below which we consider events not happening by chance p-value < significance level - Correct answer results are significant p-value > significance level - Correct answer results are not significant experiment - Correct answer a situation for which a probability is being examined outcome - Correct answer a possible result of an experiment event - Correct answer a collection of desired outcomes sample space - Correct answer -universe -set of all possible outcomes fair - Correct answer an experiment where all outcomes are equally likely complement of a set - Correct answer everything NOT in the set disjoint events - Correct answer contain no common outcomes, cannot happen simultaneously (ex. can't be born on Monday and on Wednesday) dependent events - Correct answer the occurrence of one event changes the probability of the occurrence of the other event independent events - Correct answer the occurrence of one even does NOT change the probability of the occurrence of the other event theoretical (classical) probability - Correct answer number of outcomes in the event divided by the total number of possible outcomes empirical probability - Correct answer AKA relative frequency -perform the experiment -number of times the event occurs divided by the total number of trials Law of Large Numbers - Correct answer as the number of trials increase, the empirical probability gets closer to the theoretical probability conditional probability - Correct answer P(B I A) -the probability of event B happening given that event A has already happened - P(A and B) / P(A) If P(B I A) = P(B) or P (A and B) - P(A) X P(B) - Correct answer events A and B are independent probability tree - Correct answer -display all the possible outcomes in a sample space -each path represents a possible outcome -multiply along the path to find probability of that event happening -add the products from each event to find the probability of events that include more than one outcome