[A] qualitative [B] quantitative discrete [C] quantitative continuous
[A] variance [B] range [C] median [D] standard deviation
[A] 63% [B] 37% [C] 75% [D] 25%
[A] 2.5% [B] 5% [C] 16% [D] 95%
[A] -2.50 [B] -1.75 [C] -3.50 [D] -1.50
1. The volume of milk in a jug is a variable which is:
ans-> c) quantitative continuous
2. The following which is not a measure of variability -
ans-> c) median
3. The percent of the observations are greater than 52 -
ans-> d) 25%
4. mean - (2*standard deviation) = 72 - (2*9) = 54
Using empirical rule,
95% values will lie between ( mean - 2*standard deviation, mean + 2*standard deviation) = (54, 90)
So, (100 - 95) = 5% values lie outside the interval ( mean - 2*standard deviation, mean + 2*standard deviation)
Approximately, percent of the students scored below 54 = (100 - 95)/2 = 2.5
ans-> a) 2.5%
5. The z-score of a an observation equal to 35 from a population with mean 50 and a standard deviation equal to 10 equals
ans-> d) -1.5
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