Answer:
This the answer but it words because i didn't really wanna type all those numbers but just transfer this into numbers and you'll have the simplified version :)
x to the 4 power minus 4x to the third power minus 2x squared plus 12x plus 9
Step-by-step explanation:
There is an 80% chance to find a red or purple. The total number of markers is 40 and the combined number of red and purple is 32. Dividing 32 by 40 gives you 4/5, 0.8, or 80%
Answer:
it is $258
Step-by-step explanation:
how is it 258 it is simple you need to Multiply 30 8 times and than you multiply 2.25 8 times than you add the number you got for Multiply 30 and 2.25 and it is 240 + 18 and than you get 258
hope it help
Using it's concept, the probability that a card is a factor of 54 is given by:
P(Factor of 54) = 1.
<h3>What is a probability?</h3>
A probability is given by the <u>number of desired outcomes divided by the number of total outcomes</u>.
In this problem, we have that there are 3 total outcomes, which are the cards 1, 2 and 3.
The factors of 54 are given as follows:
{1, 2, 3, 6, 9, 18, 27, 54}.
All the three cards are factors of 54, hence the probability that a card is a factor of 54 is given by:
P(Factor of 54) = 1.
More can be learned about probabilities at brainly.com/question/14398287
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Answer:
Step-by-step explanation:
1)
Percentile is related to the area under the standard normal curve to the LEFT of a certain data value (which in this case would be 26.1 inches).
On my Texas Instruments TI-83 Plus calculator, I found this area as follows:
normcdf(-100, 26.1, 28.4,1.2), where the range -100 to 26.1 represents the area (as a decimal fraction) to the left of 26.1 inches. My result was 0.028, which corresponds to the 3rd percentile (0.028 rounds off to 0.03, which would be 3rd percentile).
2) The mean waist size is 28.4 inches, represented by a vertical line through the standard normal curve lying between 24 and 32. We use the same function on the calculator: normcdf(24, 32, 28.4, 1.2).
The result is 0.9985. Subtracting this from 1.0000, we get 0.001, or 0.1%, which is the percentage of female soldiers requiring custom uniforms.
