Answer:
Step-by-step explanation:
It is possible to obtain a ""quick-and-dirty"" estimate of the mean of a normal distribution from the 50th percentile value on a normal probability plot, because normal distribution curve is symmetrical about its mean with 50% on either side of the mean. Also it is unimodal, with mean = median = mode. Because of symmetrical shape, and other special properties we can obtain estimate of mean as the 50th percentile of any normal distribution.
Also in normal distribution 34% lie between mean and 1 std deviation on right side/left side
This gives 84th percentile is got by taking the z value on right side of mean.
When we subtract 84th percentile value from the 50th percentile value we really get -1 times std deviation. Hence to get std deviation actual value, without negative sign, we subtract (50-34) = 16th percentile from mean.
I’ve attached my work, hope it helps, just flip a and b
56 would have a remainder of 2 using multiples of 3
56/3 = 18 remainder 2
56/6 = 9 remainder 2
56/9 = 6 remainder 2
56/18 = 3 remainder 2
56/27 = 2 remainder 2
Now divide 28 by the above numbers to see which ones have 1 as a remainder:
28/3 = 9 remainder 1
28/6 = 4 remainder 4
28/9 = 3 remainder 1
28/18 = 1 remainder 10
28/27 = 1 remainder 1
There are 3 numbers that will work.
Answer: c. 3
Answer:
- <em><u>The female has a higher count relative to the sample of females than the male relative to the sample of males.</u></em>
Explanation:
When you want to compare the means of two samples with different statistics you may use the z-score.
The z-score measures how far a value (data point) is from the mean, in terms of the standard deviation.
The z-score is calculated as:
Where:
<u>1. Male with a count of 5.58 </u>
<u />
<u>2. Female with a count of 5.23</u>
Therefor, the z-score of the female is greater than the z-score of the male.
The greater z-score means that, relative to her group, the female has a higher count than the male.
$308 bc i added 250+30 = 280 and multiplied it by 0.10 to get 28 and i added that to 280
