The probability that exactly 800 chips are acceptable is less than 0.000001
<h3>How to determine the probability?</h3>
The given parameters are:
- Sample, n = 3000
- Percentage acceptable, p = 72%
- Acceptable chips, x = 800
The binomial probability is represented as:
So, we have:
The data values are large.
So, we use a statistical calculator to evaluate the expression
Using the calculator, we have:
P(300) < 0.000001
Hence, the probability that exactly 800 chips are acceptable is very small i.e. less than 0.000001
Read more about probability at:
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Answer:
(-1,5)
Step-by-step explanation:
He earns 23 000 000 per 80 games for 48min
Per game he earns
If he earns 782 500 per game he earns 5 989,5833 per minute
If he played 2/3 of the time he played 32min which means he earned...
So he trained 35hours for a 48min match
Together that is 35.8hours
But I dont think this really matters here you just have to multiply 24453.125 with 60
And you get his hourly salary which is 1 467 187.5
Because it always get pushed around!
Answer:
<em>As mean and median are equal, so the data will be in normal distribution in shape of a symmetrical "bell curve".</em>
Step-by-step explanation:
The given data: 10 5 8 10 12 6 8 10 15 6 12 18
<u>Mean is the simple average of all data</u>. As, there are total 12 data, so the Mean will be: 
For finding the Median, <u>first we need to rearrange the data according to the numerical order and then identify the middle value</u>. So........
5 6 6 8 8 10 10 10 12 12 15 18
Here the middle values are 10 and 10. So, the median will be the average of those two middle values.
Thus, Median 
We can see that, <u>the relationship between the mean and the median is "they are equal"</u>. So, the data will be in normal distribution and the shape will be symmetrical "bell curve".
