Answer:
To obtain a valid approximation for probabilities about the average daily downtime, either the underlying distribution(of the downtime per day for a computing facility) must be normal, or the sample size must be of 30 or more.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean 
and standard deviation 
In this question:
To obtain a valid approximation for probabilities about the average daily downtime, either the underlying distribution(of the downtime per day for a computing facility) must be normal, or the sample size must be of 30 or more.
Answer:
A = 1500
3 years = $18,644.48
30 years = $132,032.78
Step-by-step explanation:
Answer:
A and c
Step-by-step explanation:
If im correct A and C is the answer because A and C represent the vertical angles :)
Answer:
Step-by-step explanation:
Given that a friend flips a coin 10 times and observes head 7 times. So he concludes Probability of head =0.1
This is wrong because
i) Just making 10 trials and coming to conclusion is wrong. Trials should be large to get accurate estimate
ii) The way he threw the coin may be biased so differrent persons should flip and get results for larger trials
iii) External influences such as air, any other disturbance is not considered here.
To avoid all these sampling fluctuations number of trials should be increased with different situations and times.
Answer:
21sq
Step-by-step explanation:
multiply the l times the w which would be 3x7 and get 21.
