Answer:
7805.51312
Step-by-step explanation:
Answer:
E= -4,5
F=3,-2
Step-by-step explanation:
i think that's correct sorry if not
Answer:
Step-by-step explanation:
The inside of a refrigerator is 17 x 18 x 42 inch, to calculate the samples that would fit in the refrigerator is calculating the volume which is length x breadth x height
You can opt to calculate the volume in inch ^3 or cm^3
Both will be discussed here
In inch^3
Volume= 17 × 18 × 42 = 306 x 42= 12852in ^3
In cm^3
Convert inch to cm
I inch is 2.54cm
17 inch = 43.18cm
18 inch = 45.72cm
42 inch = 106.68cm
Volume = 43.18 × 45.72 × 106.68 = 210606.546528cm^3
210606.55cm^3 approximately
Answer:
Step-by-step explanation:
This is a typical example where the Poisson distribution is a good choice to model the situation.
In this case we have an interval of time of 50 milliseconds as average time for the server to address one request and 50 requests per second.
By cross-multiplying we determine the expected value of requests every 50 milliseconds.
We know 1 second = 1,000 milliseconds
50 requests __________ 1000 milliseconds
x requests __________ 50 milliseconds
50/x = 1000/50 ===> x = 2.5
and the expected value is 2.5 requests per interval of 50 milliseconds.
According to the Poisson distribution, the probability of k events in 50 milliseconds equals
By using a sampling technique we ensure that we choose a sample of students that is representative of all 8:00 am classes.
There are varieties of sampling strategies: chance sampling includes random selection, permitting you to make sturdy statistical inferences approximately the complete organization. Non-opportunity sampling entails non-random selection primarily based on convenience or different standards, permitting you to without problems gather records.
Random sampling is part of the sampling technique wherein every sample has an same possibility of being chosen. A sample chosen randomly is meant to be an unbiased representation of the overall population.
explanation;
we conclude the
- 6 buildings in the college
- 4 lecture halls in each building
- 100 students in each lecture hall
Since the students' lecture hallsare on different building the samples are
Dividing the students into groups, the students will be grouped by the buildings of their lecture halls.
The number of students in each building is:
There are 100 students in each building
Then select at random an equal proportion of student from each building let 20 students in each building.
Learn more about Sampling technique here:-brainly.com/question/24466382
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