CR Prob And Stats - Trimester 1 Final Flashcards
Interpreting graphs (4)
Shape (skewed, symmetrical)
Outlier (1.5 x IQR)
Center
Spread (range)
Bar graphs (5)
Represent each category as a bar
Easier to make and read than pie charts
Often better to order bars in order of height (helps see what occurs most)
Compares any set of quantities that are measured in the same units
Represents multiple categories
Skewed to the left (2)
➡️↗️↘️
Mean is to left of median
Skewed to the right (2)
↗️↘️➡️
Mean is to the right of median
stemplots and Histograms (3)
Histograms and stemplots graph the distribution of a quantitative variable
Histograms shows shape of distribution and represents ONE quantitative variable
Stemplots present exact
Density curve
Has a total area of 1
Mean (2)
μ
Balance point of curve
For symmetric curves…
Mean and median are equal
Normal curve (5)
N(μ, σ)
Has normal curve N(0,1)
All normal curves have the same overall shape: symmetric, single-peaked, bell shaped
2nd–> distr –> normalcdf(low, high, mean, std dev) ((find percentiles, proportion))
2nd –> distr –> invnorm(area, mean, std dev) ((find score))
How do you find the z score? (2)
Z = x - μ / σ
X = random point
68-95-99.7 rule (3)
68%- μ±σ
95%- μ±2σ
99.7%- μ±3σ
Resistant measures (3)
Median
Quartiles
Mean and standard deviation are not resistant
Measure of spread (4)
Std deviation - if I used mean
IQR - if I used median
Range - (max-min) very sensitive to outliers
Variance
How to determine if a number is an outlier? (3)
1.5 x IQR = #
Q1 - # = anything below is outlier
Q3 + # = anything above is outlier
Measures of center (2)
Mean - use if symmetrical
Median - use if data is skewed w/ outliers