Answer:
Option D is the correct answer - Estimation is best defined as a process of inferring the values of unknown samples statistics from those of known population parameters
Step-by-step explanation:
Estimation involves the usage of the value of a statistic derived from a sample to estimate the value of a corresponding population parameter.
The sample provides information that can be extended, through several formal or informal processes, to determine a range most suitable to describe the missing information.
An estimate that turns out to be incorrect would either be termed as over-estimation or under-estimation. If the estimate exceeds the actual result, it is termed as an over-estimation, and as an under-estimation, if the estimate came short of the actual result.
Thus, option D is correct.
Answer:
Step-by-step explanation:
Suppose we think of an alphabet X to be the Event of the evidence.
Also, if Y be the Event of cheating; &
Y' be the Event of not involved in cheating
From the given information:
Thus, 
P(Y') = 1 - 0.01
P(Y') = 0.99
The probability of cheating & the evidence is present is = P(YX)
The probabilities of not involved in cheating & the evidence are present is:
(b)
The required probability that the evidence is present is:
P(YX or Y'X) = 0.006 + 0.000099
P(YX or Y'X) = 0.006099
(c)
The required probability that (S) cheat provided the evidence being present is:
Using Bayes Theorem
Answer:
A. $6360, B. He doesn't have enough money.
Step-by-step explanation:
Answer:
Huh?? I have no idea what you said.
Step-by-step explanation:
