ANSWERS SURE A+
✔✔Display information in a series of clustered rectangles - ✔✔tree maps
✔✔line chart drawn without axes to embed in text - ✔✔sparklines
✔✔___________________ (M) is a number calculated from all the population
measurements that describes some aspect of the population - ✔✔population parameter
✔✔___________________ (X) is a number calculated using the sample measurements
that describes some aspect of the sample - ✔✔sample statistic
✔✔The average or expected value (μ) - ✔✔mean
✔✔The measurement of the middle point of the ordered measurements - ✔✔median
(Md)
✔✔The most frequent value - ✔✔mode (Mo)
✔✔When the data set has extreme values, ____________ is the preferred measure of
central location - ✔✔median
, ✔✔largest measurement - smallest measurement; measures the interval spanned by all
the data - ✔✔range
✔✔The average of the squared deviations of all the population measurements from the
population mean - ✔✔variance
✔✔the square root of the population variance - ✔✔standard deviation
✔✔σ = √σ2 is the ... - ✔✔population standard deviation
✔✔s = √s2 is the ... - ✔✔sample standard deviation
✔✔The _______________ the variance, the more the data are spread out from the
mean, and the more variability one can expect from the observations - ✔✔larger
✔✔(empirical rule) ______________ of the population measurements lie within one
standard deviation of the mean: [μ-σ, μ+σ] - ✔✔68.26%
✔✔(empirical rule) ______________ lie within two standard deviations of the mean [μ-
2σ, μ+2σ] - ✔✔95.44%
✔✔(empirical rule) ____________ lie within three standard deviations of the mean: [μ-
3σ, μ+3σ] - ✔✔99.73%
✔✔Let μ and σ be a population's mean and standard deviation, then for any value k>1.
At least 100 (1-1/k2)% of the population measurements lie in the interval [μ-kσ, μ+kσ].
What is this known as? - ✔✔Chebyshev's theorem
✔✔measures the size of the standard deviation relative to the size of the mean -
✔✔coefficient of variation
✔✔When points on a scatter plot seem to fluctuate around a straight line, there is a
_____________ relationship between x and y - ✔✔linear
✔✔A positive covariance indicates a _____________ linear relationship between x and
y - ✔✔positive
✔✔A negative covariance indicates a _____________ linear relationship between x and
y - ✔✔negative