Answer:
7,053,000
Step-by-step explanation:
I think 306? Not completely sure! Hope this helps!!
Answer:
The Poisson distribution uses the shape parameter denoted by <em>λ</em>.
Step-by-step explanation:
A Poisson distribution is used to describe the distribution of the number of events that take place in a fixed interval of time.
For instance, number of customers arriving at a bank in an hour or the number of typos encountered in a book every 50 pages.
The Poisson distribution uses the shape parameter to compute the probabilities of different events.
The shape parameter is defined as the average number of occurrence in a given time interval. It is usually denoted by <em>λ</em>.
The probability mass function of a Poisson distribution is:
This is an example of a normal distribution. An average weight is 14 ounces and a standard deviation is 0.7 ounces.
14.7 = 14 + 0.7 = Average + 1 Standard Deviation.
It means that the percent of cans that will weigh over 14.7 ounces is:
100% - ( 50 % + 34 % ) = 100% - 84% = 16%
16% of 100 cans: 16/100 * 100 = 16.
Answer: 16 cans.
When putting numbers into scientific notation, always put the decimal after the ones place. In this case, you would put the decimal after 4 and before 5 (in between). From there, you count how many decimal places you moved in order to change it into that form.
0.45013 would change to 4.5013 and you would have to multiply it by 10 to the negative power of 1 (you're only moving back one place).
4.5013 x 10^-1
Hope this helps :)
