Answer:
if you mean like you have a algebraic expression and they give you the values of the variables to substitute into the equation, then you just replace the variable with the value for instance
if x = 5
in the equation x + 3 =
then we would replace x with 5 and get 5 + 3 = 8
Step-by-step explanation:
Answer:
C AND A I THINK
Step-by-step explanation:
Answer:
16% probability that the facility needs to recalibrate their machines.
Step-by-step explanation:
We have to use the Empirical Rule to solve this problem.
Empirical Rule:
The Empirical Rule states that, for a normally distributed random variable:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviation of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
What is the probability that the facility needs to recalibrate their machines?
They will have to recalibrate if the number of defects is more than one standard deviation above the mean.
We know that by the Empirical Rule, 68% of the measures are within 1 standard deviation of the mean. The other 100-68 = 32% is more than 1 standard deviation from the mean. Since the normal distribution is symmetric, of those 32%, 16% are more than one standard deviation below the mean, and 16% are more than one standard deviation above the mean.
So there is a 16% probability that the facility needs to recalibrate their machines.
Hello!
To find out how much more she needs to save, simply subtract 63 from 100:
100-63=37.
I hope it helps!
Answer:
P(POSc/Sc)
Step-by-step explanation:
As,
POS= Test has positive results
and
S=Adult has tuberculosis.
The test correctly identifies 74.6% of the time adults with a tuberculosis and correctly identifies those without tuberculosis 76.53% of the time.
In the above statement 76.53% describes the probability of adult who don't have tuberculosis gets the negative results as test is correctly identifying.
So, getting negative results means that not positive results and for this event the notation of complement POSc is used. Also, not having tuberculosis can be denoted as Sc. So,
POSc= Test has negative results
Sc=Adult hasn't tuberculosis
Thus, P(POSc/Sc) depicts the probability of adults not having tuberculosis gets correct results.
Hence, P(POSc/Sc)=76.53%