Answer:
When sampling from a population, the sample mean will: be closer to the population mean as the sample size increases.
Step-by-step explanation:
The sample mean is not always equal to the population mean but if we increase the number of samples then the mean of the sample would become more and more closer to the population mean.
Usually the population size is very huge that is why we select a random sample from the population, care must be taken to ensure randomized sampling otherwise results would not be accurate. After that we have to make sure that the number of samples are enough for the given population size. The number of samples depends upon the shape of the population. If the population is normal than according to central limit theorem, a less number of samples would be enough to ensure normal distribution of sampling mean, otherwise a greater sample size will be required.
Answer:
1.A:32 P:24
2.A:40 P:26
Step-by-step e1.xplanation:
2. its the same as a rectangle if you cut it you can turn it into a rectangle
Solve for x. The multiplicity of a root is the number of times the root appears.
x= -6.847415 (multiplicity of 1)
x= 0.793705 (multiplicity of 1)
Answer:
The average number of days that will pass between measurable rain is 7.5.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given time interval.
The expected period between the event happening is 
During the dry month of August, one U.S. city has measurable rain on average only 4 days per month. Assume all months have 30 days.
This means that

(a) If the arrival of rainy days is Poisson distributed in this city during the month of August, what is the average number of days that will pass between measurable rain? *

The average number of days that will pass between measurable rain is 7.5.
12+65=77 her balance will be $77 if you where asking how much she spent in total