If "standard" is meant to be standard deviation, the answer is the second.
No, if the standard deviation is small the data is less dispersed.
B because the spread, in this case standard deviation, is larger.
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
Smaller
In the context of Euclidean straight lines it would mean parallel lines. In the context of a curve and a line (or another curve) it would mean the line and the curve do not meet at any point, but not a lot more can be deduced about them.
an IQ of 132 in SD (standard deviation) of 16 and 130 in a SD of 15 , this mean top 2% of world's population according to the bell curve..for more info , search in google.
The seeds of an angiosperm are more likely to be dispersed by animals.
The standard deviation is a number that tells you how scattered the data are centered about the arithmetic mean. The mean tells you nothing about the consistency of the data. The lower standard deviation dataset is less scattered and can be regarded as more consistent.
no, i have both and just looking at them now i can see that the reebok Crosby(p87) curve is more open, and more of a wedge. The Bauer Kane(p88) curve is slightly less open, more gradual, and has more depth. The Crosby curve is also a lie 7 as opposed to the Kane curve being a 6 lie.
Since the outside curve has a higher velocity, it has more erosion meaning the inside curve has a slower velocity more deposition causing it to be shallower. The outside curve is deep.
Estimates of the mean are then more reliable.
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