Question 1

I answered the last question in the following way. I figured out the z score which was 0.9772 for value that is two standard deviations above normal. Therefore one can deduce that the sample size that lies to the right of this should be 0.0228 (1-0.9772). That multiplied by 400 gives me 9.1 approximated to 9. What is wrong with this method?

Accepted Answer

I agree that using the z-Score is the most accurate answer. The answer given is using  approximations of the normal and are not as accurate.

Question 2

What is the Gauss curve have to do with this?

Accepted Answer

For the empirical rule to be valid the data must be normally distributed, so the rules for percentages in the problems above would not hold true if the data didn't follow a gaussian or normal distribution.

Question 3

For the titles of Articles, Videos, and Skills; should the wording follow the same grammar rules as the title of a book does? 
e.g.: Should the titles be capitalized with the exception of conjunctions like and/or/but/ect?

I'm slightly confused, because KA only capitalizes the first word, but I can't find anywhere on the web where it tells you how to properly right the title.

Any help?

I'm slightly confused...

Accepted Answer

Khan Academy is an exception to the usually title rules. Sometimes websites might only capitalize the first word or not follow the exact rules as in a book for some videos and articles. You are correct though, that rule is used commonly in books, movies, etc.

Question 4

Is there a table or cheat sheet I can use to help with the subject?

Accepted Answer

Here is a website that has z-tables for positive and negative z-scores as well as other things related to this subject: https://z-scoretable.com/.

There are plenty of z-tables on Google Images as well.

Hope this helps!😄

Question 5

what if they ask you to solve for standard deviation with only knowing the range

Accepted Answer

This question is not really meaningful for a normal distribution, since all normal distributions have infinite range.

For general data sets, knowing the range of a data set is not sufficient for finding its standard deviation.  For example, the data sets 1,5,5,9 and 1,2,8,9 both have range 9-1=8, but 1,2,8,9 has the larger standard deviation because the values are spread out farther from the mean (5).

Have a blessed, wonderful day!

Question 6

last question was tricky, how u do it

Accepted Answer

You multiply 400 by the percent of females that had blood pressure in that area, which is 2.5%.  So, 400 x 2.5% (400 x 0.025 in decimal) gets you the answer, which is 10.

Question 7

I only had trouble on the last part

Accepted Answer

The question is asking for the actual number of females, not the proportions (percentages). So firstly, you get the proportions of females with mercury > 145mm, which is _`2.35% + 0.15% = 2.5%`_. Then, multiply this by the sample size (_`400`_) and get the exact count of females which is _`2.5% * 400 = 10 females`_. There you have it!

Question 8

explain the last question please

Accepted Answer

145 mm of mercury corresponds to 2 standard deviations (2 x 10 mm) above the mean (125 mm). If you look at the table, above 2 standard deviations, there are a total of 2.35% + 0.15% of the population, resulting in 2.5%. If you extract 2.5% of 400 individuals, you’ll obtain 10.

Question 9

where does the 13.5% come from in question 3?

Accepted Answer

Empirical rule!
Ok, so 95% of the observations are within 2 standard deviations of the mean, and 68% of the observations are within 1 standard deviation of the mean, right?
Let's find the difference between 2 s.d. and 1 s.d. It will be 95%-68%=27%. But you have to divide this 27% by 2 because you have to find the percentage between 105 and 115 millimeters. There comes 13.5%!

Course: Statistics and probability > Unit 4

Basic normal calculations

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