Q1 If all other quantities remain the same, what affect does increasing the stan
ID: 3322602 • Letter: Q
Question
Q1 If all other quantities remain the same, what affect does increasing the standard deviation, have on the width of the confidence interval?
It will widen the confidence interval
It will make the confidence interval more narrow
It will have no affect on the confidence interval.
Q2 The product of Z(alpha/2) multiplied by the the standard error is refered to as
A Point Estimate
An Interval Estimate
Level of Confidence
Margin of Error
Standard Error
Q3
The following is true regarding the central limit theorem
The central limit theorem is the probability of a binomial distribution
The central limit theorem describes the relationship between the sampling distribution of sample means and the population that the samples are taken from
The central limit theorem assumes a probability value of 0
The central limit theorem is related to the poisson distribution
The central limit theorem has nothing at all to do with statistics
Q4 What percentatge of a normal distribution is associated with an interval that lies within 2 standard deviations (plus / minus) of the mean?
0%
68%
95%
99.7%
100%
Q5
The following are properties of the normal distribution
The mean, median and mode are equal
The normal curve is bell shaped and symmetric about the mean
The total area under the normal curve is equal to one
The normal curve approaches, but never touches, the x-axis as it extends farther and farther away from the mean
all of the above
Q6
The standard normal distribution is a normal distribution with the following characteristics
A mean of 1 and a standard deviation of 0
A mean of 0 and a standard deviation of 1
A mean of 50 and a standard deviation of 10
All of the above
None of the above
a.It will widen the confidence interval
b.It will make the confidence interval more narrow
c.It will have no affect on the confidence interval.
Explanation / Answer
1. a. It will widen the confidence interval
2. d. Margin of Error
3. b. The central limit theorem describes the relationship between the sampling distribution of sample means and the population that the samples are taken from
4. c. 95%
5. e. all of the above
6. b. A mean of 0 and a standard deviation of 1
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