What is the critical path and minimum prep time in order to host a party?

Mathematics

1 answer:

Hoochie [10]3 years ago

6 0

Answer:

all i know is that number #2 is A

adding it all up is hard to figure out but #2 will show you that lay out so it mite be easier but i need help on this as well

Step-by-step explanation:

You might be interested in

If a1=7 and an=an-1+5 than find the value of a5<br><br> <br> .

Katyanochek1 [597]

Answer:

a₅=27.

Step-by-step explanation:

1) according to the condition the given subsequence is arithmetic sequence. It means, the a₁=7 and d=5, then

2) a₅=a₁+4*d; => a₅=7+4*5=27.

4 0

2 years ago

25. Which word does NOT describe the set of points? (1,5) (2, 2) (3, -1) (4,-4) (5, -7) (6,-10) Decreasing Function Increasing L

egoroff_w [7]

Answer:

it would be decreasing

Step-by-step explanation:

because it is a linear increasing function

for 1 it is going up from 1-6

and 2 it is a function because there isn't any multiples of the x values/ inputs that go to one y value/ output.

7 0

2 years ago

The inside diameter of a randomly selected piston ring is a random variable with mean value 8 cm and standard deviation 0.03 cm.

S_A_V [24]

Answer:

a) P(7.99 ≤ X ≤ 8.01) = 0.8164

b) P(X ≥ 8.01) = 0.0475.

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sample means with size n can be approximated to a normal distribution with mean

In this problem, we have that:

$\mu = 8, \sigma = 0.03$