chapter 3 review mdm 4u mr. lieff. 3.1 graphical displays be able to effectively use a histogram...
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Chapter 3 ReviewMDM 4U
Mr. Lieff
3.1 Graphical Displays
be able to effectively use a histogram recognize and be able to interpret the various
types of distributions ex: when would we use a histogram vs. a bar
graph? ex: how do you calculate bin width?
3.2 Central Tendency
be able to calculate mean, median, mode and weighted mean ex: determine which measure is appropriate
be aware of the effect of outliers recognize the location of the measures with
respect to skewed distributions if mean > median…right skew if mean < median…left skew
3.3 Measures of Spread
be able to calculate IQR and population standard deviation
interpret the meaning of the values the larger the standard deviation, the larger
the spread of data IQR gives the range containing 50% of the
data what is the population standard deviation for:
3 5 7 8 8 9 10 12 14 ans: 3.166
3.4 Normal Distribution
be familiar with the characteristics of a normal distribution
use a normal distribution to calculate the ranges of expected data
ex: with a mean of 10 and a standard deviation of 2, how many percent of the data lie between 6 and 14?
ans: 95%, with a std dev of 2, 6 is 2 std dev below the mean and 14 is 2 above. So 95% of the data falls in the range (see diagram)
Normal Distribution
34% 34%
13.5% 13.5%
2.35% 2.35%
68%
95%
99.7%
x x + 1σ x + 2σ x + 3σx - 1σx - 2σx - 3σ
),(~ 2xNX
0.15%0.15%
3.5 Z-Scores
understand the use of the standard normal distribution
be able to calculate a z-score be able to calculate the percentile position of a piece
of data, given the standard deviation and the mean be able to calculate the percent of data in a range of
population values
)1,0(~ NX
xx
z
3.5 Z-Scores
ex: given a normal distribution with a mean of 10 and a std dev of 2, what percent of the population is between 7 and 11?
ans: calculate z-scores for the two data values and subtract their percentile positions
for 7: (7 – 10)/2 = -1.5 z = 6.68% for 11: (11-10)/2 = 0.5 z = 69.15% 69.15-6.68 = 62.47 so 62.47% lies between these two values
3.6 Mathematical Indices
these are arbitrary numbers that provide a measure of something
e.g. BMI, Slugging Percentage, Moving Average
you should be able to work with a given formula and interpret the meaning of calculated results