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tekilochka [14]
3 years ago
6

Which of the following is a liability?

Mathematics
1 answer:
larisa [96]3 years ago
7 0
Do you have the answer choices?

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You have just used the network planning model and found the critical path length is 30 days and the variance of the critical pat
joja [24]

Answer:

0.726 is the probability that the project will be completed in 33 days or less.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 30 days

Variance = 25 days

Standard Deviation,

\sigma = \sqrt{\text{Variance}} = \sqrt{25} = 5

We assume that the distribution of path length is a bell shaped distribution that is a normal distribution.

Formula:

z_{score} = \displaystyle\frac{x-\mu}{\sigma}

P(completed in 33 days or less)

P( x \leq 33) = P( z \leq \displaystyle\frac{33 - 30}{5}) = P(z \leq 0.6)

Calculation the value from standard normal z table, we have,  

P(x \leq 33) = 0.726 = 72.6\%

0.726 is the probability that the project will be completed in 33 days or less.

8 0
3 years ago
Someone help me please i have 20 minutes left to finish this
saw5 [17]

Answer: 17. is A and 18 is most likely G

Step-by-step explanation:

6 0
2 years ago
it cost $270 for three people to go fishing on a fishing trip how much does it cost for 10 people to go on a fishing trip ​
coldgirl [10]

Answer:

900$

Step-by-step explanation:

270/3= 90$ per person

90*10=900$ for 10 people

6 0
3 years ago
HELP PLEASE ASAP PLEASE TYSM TYSM WILK+L MARK BRAINLIEST! IF YOU PUT IN A RANDOM ANSWER YOU WILL BE REPORTED TYSM HELP ASAP PLEA
mylen [45]
The answer is 20.25 or 20 1/4
8 0
3 years ago
Read 2 more answers
Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and
Leni [432]

Answer:

No, the Roger’s claim is not correct.

Step-by-step explanation:

We are given that Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and the median.

This statement by Roger is incorrect because the median is unaffected by the outlier value and only the mean value gets affected by the outlier value.

As the median represents the middlemost value of our dataset, so any value which is an outlier will be either at the start or at the end will not the median value. So, the median will not likely change when an outlier is added to a small data set.

Now, the mean is the average of all the data set values, that is the sum of all the observations divided by the number of observations. The mean will get affected by the outlier value because it take into account each and every value of the data set.

Hence, the mean will likely to change greatly when an outlier is added to a small data set.

7 0
3 years ago
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