Answer:
A customer who sends 78 messages per day would be at 99.38th percentile.
Step-by-step explanation:
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.
Average of 48 texts per day with a standard deviation of 12.
This means that 
a. A customer who sends 78 messages per day would correspond to what percentile?
The percentile is the p-value of Z when X = 78. So
has a p-value of 0.9938.
0.9938*100% = 99.38%.
A customer who sends 78 messages per day would be at 99.38th percentile.
Part A:
We need to divide
5 ÷ 2/3
5/1 ÷ 2/3
5/1 * 3/2
15/2 or 7 1/2 plates of nachos.
Part B:
If Rachel can make 7 1/2 plates of nachos with 5 cups of cheese we need to multiply and subtract.
ma2/3 * 9 = 18/3 or 6 cups of cheese to make 9 plates
6 - 5 = 1 more cup of cheese she needs to make 9 plates
Best of Luck!
The maximum possible measurement is 1.25 Kg
and the minimum possible measurement is 1.15 kg
<u>Solution:</u>
Given mass of an ostrich egg is 1.2 Kg
We have to find the minimum and maximum possible measurements to the nearest tenth of a kilogram
The greatest possible error in measurement nearest tenth of a kilogram, is a half a tenth of a kilogram which is:-
Now, the maximum value will be equal to calculated amount plus the error in measurement of value .i.e.
Now, the minimum value will be equal to calculated amount minus the error in measurement of value .i.e.
Hence, maximum possible measurement is 1.25 Kg
And the minimum possible measurement is 1.15 kg
Answer:
I don’t understand
Step-by-step explanation:
