Answer:
A.)=24.78
B.)=26
C.)=7.33
D.)=25.44
Step-by-step explanation:
A.)11.40+13.38=24.78
B.)11+15=26
C.)4.18+3.15=7.33
D.)10.92+14.52=25.44
Answer:
The value of the standard error for the point estimate is of 0.0392.
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 ![s = \sqrt{\frac{p(1-p)}{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%7D)
In a randomly selected sample of 100 students at a University, 81 of them had access to a computer at home.
This means that ![n = 100, p = \frac{81}{100} = 0.81](https://tex.z-dn.net/?f=n%20%3D%20100%2C%20p%20%3D%20%5Cfrac%7B81%7D%7B100%7D%20%3D%200.81)
Give the value of the standard error for the point estimate.
This is s. So
![s = \sqrt{\frac{0.81*0.19}{100}} = 0.0392](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B0.81%2A0.19%7D%7B100%7D%7D%20%3D%200.0392)
The value of the standard error for the point estimate is of 0.0392.
Answer: The greatest number of rows Li Na can plant is 9.
Step-by-step explanation:
Given: Li Na is going to plant 63 tomato plants and 81 rhubarb plants.
Li Na would like to plant the plants in rows where each row has the same number of tomato plants and each row has the same number of rhubarb plants.
To find the greatest number of rows Li Na can plant, we need to find the GCF of 63 and 81.
Since , ![63=7\times9\ and\ 81=8\times9](https://tex.z-dn.net/?f=63%3D7%5Ctimes9%5C%20and%5C%2081%3D8%5Ctimes9)
Clearly, GCF(63,81)=9
Therefore, the greatest number of rows Li Na can plant is 9.
The answer is 5/8. Hope this helps
The probability of an event is given by the number of favorable outcomes divided by the total number of outcomes. Here the event is the alarm clock running out of power. There are 24 hours during which the power can go out. You are asleep during 8 of these. A "favorable" outcome in this case is the power going out while you are sleeping -- that is, during one of those 8 hours. This makes the probability that the power goes out while you are sleeping 8/24.