Consider the following confidence interval interpretation: We are 98% confident that the true mean laptop screen size is between
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In this question, the Poisson distribution is used.
Poisson distribution:
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 interval.
Parameter of 5.2 per square yard:
This means that , in which r is the radius.
How large should the radius R of a circular sampling region be taken so that the probability of finding at least one in the region equals 0.99?
We want:
Thus:
We have that:
Then
Thus, the radius should be of at least 0.89.
Another example of a Poisson distribution is found at brainly.com/question/24098004
Answer: Two-tailed test.
Population mean is the parameter which is tested.
Step-by-step explanation:
Given :
We know that , the alternative hypothesis () indicates kind of the hypothesis test we need to perform whether left-tailed, right-tailed, or two-tailed.
Here, the alternative hypothesis () is two-tailed, so the hypothesis test is a two-tailed test.
Also, the parameter present in the hypothesis is which is a symbol to represent the population mean.
Thus , Population mean is the parameter which is tested.