<span>0.0087, or 0.87%
In order to solve this problem, you first need to determine how many standard deviations from the norm you are. You do this by subtracting the mean from the number you have and then divide the result by the standard deviation.
127 - 100 = 27
27 / 11.35 = 2.378854626
So you're about 2.379 standard deviations above the mean. Using a standard normal table (usually good to 2 decimal digits), or you can use an online calculator or the equivalent.
Looking up 2.38 in a standard normal table, I get a value of 0.9913 which is the probability of getting a value LESS than the standard deviation I looked up. Since we're looking for the probability of getting a LARGER value, subtract the lookup value from 1, giving:
1 - 0.9913 = 0.0087 = 0.87%
Using an online calculator for the standard deviation of 2.378854626, I get the return value of 0.9913167383 which is basically the same result as using a normal table except for a few extra decimal places.
In any case, the probability of a randomly selected monthly cell phone bill being more than $127 is 0.0087, or 0.87%</span>
Answer: (0, -1 ), (1, -1), (2, 1)
<u>Step-by-step explanation:</u>
Set the exponent equal to zero - <em>that is your anchor point</em>.
Then choose an x-value less than and greater than the anchor point.
Answer:
toby, lupe, brody
Step-by-step explanation:
Answer:
There is a rule on how we find prime numbers.
Step-by-step explanation:
A clear rule determines exactly what makes a prime: it's a whole number that can't be exactly divided by anything except 1 and itself. But there's no discernible pattern in the occurrence of the primes.That's because, after the number 5, there are only four possibilities — 1, 3, 7, and 9 — for prime last digits
Answer:
c) Statement i) is correct
Step-by-step explanation:
Experiment designed to compare relief from hay fever symptoms, by a low or high dose of a drug or placebo, with different hay fever patient volunteers given 3 different treatments (with sufficient gap) :
If the properly randomised experiment design reveals statistical difference between treatments - It states that study concludes, treatments have significantly different impacts on hay fever symptoms, & so treatment is the cause of the difference in hay fever symptoms. (i)
However, it doesn't necessarily state that these study results can be generalized to the population of all hay fever sufferers. (ii)