Multiple-choice questions have a special grading rule determined by your instructor. Assume that your instructor has decided to
2 answers:
Answer:
The credit will you lose for the part of question is 1/4 or 25%.
Step-by-step explanation:
Consider the provided information.
It is given that, if you submit an incorrect answer to a multiple-choice question with n options, you will lose 1/(n−1) of the credit for that question.
Suppose the given multiple choice question has 5 answer. So for one wrong answer the loss will be:
Substitute the value of n=5 in above formula.
That means you will lose 1/4 or 0.25credit.
Now convert it into %.
Hence, the credit will you lose for the part of question is 1/4 or 25%.
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Answer:
a)
b)
Step-by-step explanation:
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by:
Let X the random variable that represent the variable of interest on this case, and for this case we know the distribution for X is given by:
And let represent the sample mean, by the central limit theorem, the distribution for the sample mean is given by:
(a) Describe the sampling distribution of x overbar.
(b) What is Upper P (x overbar greater than 91.2 )
First we can to find the z score for the value of 91.2. And in order to do this we need to apply the formula for the z score given by:
If we apply this formula to our probability we got this:
And we want to find this probability:
On this last step we use the complement rule.