Answer:
It has been suppressed by <em>Grutter v. Bollinger (2003).</em>
Explanation:
According to the <u>University of California v. Bakke case</u> (1978), college applicants’ race was allowed to be a factor in the admission policy, though racial quotas were ruled as impermissible.
Meanwhile, in 2003 <u>Grutter v. Bollinger</u> <u>case</u> ended with a court's decision that<em> admission policy that favors poorly represented ethnic minority groups does not violate the Fourteenth Amendment's Equal Protection Clause, only if the policy takes other factors, such as academic excellence, into account.</em>
Answer:
Explanation:
Mr. Smith should get a job. They can get money to support or they can startan online webpage showing their story so people all over the world can donate. The money will go to Mrs. Smith's hospital cancer treatment. The leftover money will be used for taking care of the Smiths. So for a few days, Mr. Smith does not have to work.
i dont know how many letters this response is but I worked really hard on it. Hope this helps! :) :D
Answer:
well...according to google, Long term goals are things you want to achieve further into the future, often on a timescale of months or years.
So an example could be to get your dream job or go to your dream college(whatever it is)because it won't be easy getting in and you have to work for it.
<h3>Answer:</h3>
- A — 1
- B — ∑[k=0..2] 15Ck(.24^k)(.76^(15-k))
- D — 12 and 3.1
- A — 0.1091
- B — 0.83 ...
<h3>Explanation:</h3>
1. The probability is 0.52 that the officer will pull over a driver and then the expected number more. So, if x is the expected number of drivers pulled over until one is not texting, we have ...
... x = 0.52(1+x)
... 0.48x = 0.52
... x = 0.52/0.48 = 13/12 = 1 1/12 ≈ 1 . . . . matches selection A
(<em>Comment on this result</em>: I find it interesting that these are the odds in favor of finding a driver who texts. That is, if the probability of texting is 0.98, the odds are 49:1 that a driver will be texting, and the expected number of pull-overs is 49.)
2. The probability of at most 2 being cured is the probability of 0, 1, or 2 being cured. You need to add up those probabilities. The sum in answer selection B does that.
3. The mean of a binomial distribution is ...
... μx = np = 60·0.2 = 12
... σx = √(np(1-p)) = √(12·0.8) ≈ 3.0984
These match selection D.
4. 20C14(0.8^14)(0.2^6) = 38760·.043980·0.000064 ≈ 0.109100 . . . matches A
5. mean(x) = 0.94; mean(x^2) = 1.58, so ...
... σx = √(1.58 -0.94²) ≈ 0.83 . . . . matches selection B