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percentile
p*n/100 where p is the __th percentile and n is the number of data points given
how do you assemble a box and whisker plot?
1) make sure the data is going from smallest to largest
2) calculate extreme and moderate fences
3) draw a line that includes the x values given in the problems as well as all of the fences you calculated
4) draw box - edges of the box are q1 and q3, line in the middle of the box is the median (label all three)
5) draw whiskers - whiskers go to the smallest and largest in the list AS LONG as it isn’t an outlier. if there is an outlier, you draw the whisker to the next valid value. outliers are marked with a dot
6) draw the inner and outer fences you calculated with dotted lines
DONE!
how do you assemble a leaf plot?
1) arrange data points in ascending order
2)
how do you assemble a histogram?
1) calculate classes —> 1+3.3log(n) (round up)
2) calculate class width —> range/classes (round up)
3) make frequency table
4) label histogram axes (x-axis - classes interpreted by the question, y-axis - percentage)
^^ all info for the histogram is obtained by the frequency table
5) bars of the graph are the class width
DONE!
empirical formula
68% = 1 standard deviation
95% = 2 standard deviations
99.7% = 3 standard deviations
population
complete set of individuals or events relevant to a research question
sample
a subset of the population selected for measurement when studying the entire population is impractical
y-bar
∑y/n that same way x-bar = ∑x/n
prediction
estimate
discrete
countable data
ex: number of books, dice outcomes, number of students
continuous
any value in a given range, measurable and can include decimals and fractions
ex: weight, age
class equation for histogram
1 + 3.3log(n)
what’s in a frequency table?
1) classes, 2) frequency (just how many of the data points within the class range), 3) relative frequency (freq/total number of data points), 4) percentage (rel freq * 100)
expected count
(row total)(column total) / overall total
degrees of freedom
(# of rows - 1)(# of columns - 1) not including totals