On a test, mean score was 70 and the standard deviation of the scores was 15. what percent of the test takers scored above 80

25%.

Step-by-step explanation:

When calculating percentile of a value within a sample population, you'll want to use what's called the z-score formula, notated as such:

z = (x – μ) / σ

Or, the z-score equals the difference of the x-value minus the mean (μ), divided by the standard deviation (σ). We can use the equation to sub in our numbers:

Since we are looking for scores above 80, what we want to find is the area under the normal distribution curve that is to the right of our value of 80, or the pink area illustrated in the attached picture.

For this, we can use the standard Z table to look up our z-score and find what percent of our chart we've filled, to the left of our value. You can find Z tables in algebra textbooks or online, like this one: http://www.z-table.com/

In this instance, our z-score gives us a resulting Z table percentile between .7454 (z-score of 0.66) and .7486 (z-score of 0.67). This means that, in our normal distribution with a mean of 70 and a standard deviation of 15, the area to the left of the value of 80 is about 74.6%.

So, now we know that our value of 80 makes up about 74.6% of our curve from the left. To find the area to the right, we just subtract from the total area, which is 1 in a normally distributed curve. This gives us 25.4%. Since we're looking for the percent of test takes scoring above our value, I'll round that down to 25%.

part d

step-by-step explanation:

theresa talked her parents into getting sd cards for her phone and her brother’s phone. inserting an sd card into a phone gives it more storage. they both get 8-gigabyte sd cards. how many bits of storage come with each sd card? type your answer in both scientific and standard notation.

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560