Hello!
The answer is: 15 mL
Why?
From the statement we have that 250 mg need to be given every 8 hours, we can calculate how many mg will be given each day (24 hours):
So,
a day
We also know that there are 50 mg cefaclor every 1mL,
So, to know how many mL will be given with 750mg, we just need to divide it by 50
Therefore,
15mL or 750 mg of cefaclor will be given each day.
Have a nice day!
Answer:
The volume in cubic millimeter is <u>16182</u>.
Step-by-step explanation:
Given:
Rectangular prism has base area 522 square millimeters and height 31 millimeters.
Now, to find the volume in cubic millimeter.
Base area = 522 square millimeters.
Height = 31 millimeters.
Now, to get the volume we put formula:
Therefore, the volume in cubic millimeter is 16182.
Answer:
0.9099 = 90.99% probability that at most 25% of those are used as investment property.
Step-by-step explanation:
To solve this question, we need to understand the normal probability distribution and the central limit theorem.
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean and standard deviation
, the z-score of a measure X is given by:
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 p-value, 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 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
23% of all homes purchased in 2004 were considered investment properties.
This means that
Sample of 800 homes
This means that
Mean and Standard deviation:
What is the probability that at most 25% of those are used as investment property?
This is the pvalue of Z when X = 0.25. So
has a pvalue of 0.9099
0.9099 = 90.99% probability that at most 25% of those are used as investment property.