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Statistics - Exam 1

complete collection of people, objects, scores, etc. to studied population
process of getting information from each element of the population census
any sub collection of data drawn from a population sample
any characteristic of the elements of the population variable
tells what values a variable has and how often those values occur distribution
value measuring some characteristic of a population parameter
value measuring some characteristic of a sample statistic
value that splits an ordered data set into 2 halves median
value that is far away from the rest of the data set outlier
average squared deviations from the elements to the mean variance
splits data set into 4 equal groups quartile
graph displaying the relationship between 2 variables scatter plot
value that measures the strength and direction of a linear relationship between 2 quantitative variables correlation coefficient
making predictions with values that are outside the range of x variables extrapolation
3 phases of statistics gather data, analyze data, make inferences
2 characteristics of a good sample variety, size
reasons to take a sample saves time, saves money, destructive measures
midrange formula max + min / 2
variance of a sample symbol
standard deviation symbol s
variance formula s²= n(Σx²)-(Σx)²/n(n-1)
standard deviation equals the square root of the _____________ variance
slope symbol b1, a (on calc)
correlation coeffiecient of a sample symbol r
variance of a population symbol σ²
y intercept symbol b0, b (on calc)
regression equation y(with a hat)= b1 * x + b0
standard deviation symbol (on calc) Sx
You can get variance by multipling standard deviance (Sx) by ____________ itself
variance answers are always ___________ squared
number of classes symbol k
population mean symbol µ
what does a 5 # summary consist of? min, Q1, Q2 (median), Q3, max
correlation coefficient formula n * Σxy - Σx * Σy r= --------------------------------- sqr(n*Σx²-(Σx)²)*sqr(n*Σy²-(Σy)²)
slope formula n * Σxy - Σx * Σy b1= --------------------- n * Σx² - (Σx)²
y intercept formula b0 = (mean of y) - b1 * (mean of x)
Created by: K1N1V