Answer:
3:30PM
Step-by-step explanation:
Martina starting playing video games as soon as she got home from school. She played video games for 15 minutes. Then Martina helped clean the kitchen for 45 minutes. After the kitchen was clean, it took Martina 15 minutes to finish her homework. When Martina finished her homework, it was 4:45 P.M. What time did Martina get home from school?
Step 1
We add up the minutes it took her to do things
= Minutes for video games + Minutes for cleaning the kitchen + Minutes for doing homework
= 15 minutes + 45 minutes + 15 minutes
= 75 minutes
= 1 hour 15 minutes
Step 2
When Martina finished her homework, it was 4:45 P.M. What time did Martina get home from school?
This is calculated be subtracting 1 hour 15 minutes from 4:45 PM
= 4:45 PM - 1 : 15
= 3:30PM
Therefore, Martha got home from school by 3:30 PM
The variance of the binomial distribution of the number of households with landline service is 2.
<h3>What is the binomial probability distribution?</h3>
It is the probability of <u>exactly x successes on n repeated trials, with p probability</u> of a success on each trial.
The variance of the distribution is given by:
V(X) = np(1 - p)
In this problem, the parameters are given as follows:
n = 8, p = 0.504.
Hence the variance is given by:
V(X) = 8 x 0.504 x 0.496 = 2.
More can be learned about the binomial distribution at brainly.com/question/24863377
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Answer: B. $430.80
Step-by-step explanation:
Given : Last year Baron Enterprises had $800 million of sales.
It had $270 million of fixed assets that were used at 65% (=0.65) of capacity last year.
Now, the used asset = 
million
Now, Baron Enterprises had $800 million of sales in $175.5 million of assets , if we use all of $270 million of fixed assets , then the sales will be :-
Now, the increase in Baron's sales before it is required to increase its fixed assets = 
Hence, the increase in Baron's ( in million ) sales before it is required to increase its fixed assets = $430.80
If you calculate SLE to be $25,000 and that there will be one occurrence every four years (ARO), then the ALE is $40,000.
<h3>What is Single-loss expectancy (SLE)?</h3>
A expected monetary decline each moment an asset is at risk is referred to as single-loss expectancy (SLE). It is a term that is most frequently used during risk analysis and attempts to assign a monetary value to each individual threat.
Quantitative risk analysis predicts the likelihood of certain risk outcomes as well as their approximate monetary cost using relevant, verifiable data.
IT professionals must consider a wide range of risks, including the following:
- Errors caused by humans
- Cyber attacks, unauthorised data disclosure, or data misuse are examples of hostile action.
- Errors in application
- System or network failures
- Physical harm caused by fire, natural disasters, or vandalism.
To know more about the Single-loss expectancy (SLE), here
brainly.com/question/14587600
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Answer:
Yes its correct
Step-by-step explanation:
