Question

Please explain your answer

1 - Which of the following statements is true regarding a 95%
confidence interval? Assume numerous large samples are taken from
the population.

a. In 95% of all samples, the sample proportion will fall within 2
standard deviations of the mean, which is the true proportion for
the population.

b. In 95% of all samples, the true proportion will fall within 2
standard deviations of the sample proportion.

c. If we add and subtract 2 standard deviations to/from the sample
proportion, in 95% of all cases we will have captured the true
population proportion.

d. All of the above.

Answer #1

1 - Which of the following statements is true regarding a 95%
confidence interval? Assume numerous large samples are taken from
the population.
a. In 95% of all samples, the sample proportion will fall within 2
standard deviations of the mean, which is the true proportion for
the population.
b. In 95% of all samples, the true proportion will fall within 2
standard deviations of the sample proportion.
c. If we add and subtract 2 standard deviations to/from the sample...

Question 1.
Which of the following is the CORRECT interpretation of a 95%
confidence interval?
a) There is a 95% probability that the interval contains the
population value
b) There is a 95% chance that the true population value is
inside the interval
c) if we sampled from a population repeatedly and created
confidence intervals, 95% of those confidence intervals would
contain the population mean
d) We are 95% sure of the sample statistic
Question 2.
What is the mean...

Which of the following statements is true?
The 95% confidence interval is wider than the 99% confidence
interval.
The ONLY way to reduce the width of a confidence interval is to
reduce the confidence level.
The required sample size for a population mean is ONLY
dependent on population variance.
Given population variance and sampling error, higher confidence
level results in larger sample size.

Which of the following statements is true?
Group of answer choices
1)The variance of the time taken to complete an activity is
equal to (b − a)/6.
2)The critical path is the path with the largest probability of
being completed on time.
3)The standard deviation of a project completion time is the sum
of the standard deviations for the critical path activities.
4)Three time estimates are necessary so that we can estimate the
parameters of the Beta distribution.
thanks

1- Which of the following statements is true?
I. For a certain confidence level, you get a higher margin of
error if you reduce your sample size.
II. For a given sample size, increasing the margin of error will
mean higher confidence.
III. For a fixed margin of error, smaller samples will mean
lower confidence.
I only
II only
III only
II and III only
All of them
----------------------------------
2- Which must be true about a 90% confidence interval based...

Which of the following statements is true about the confidence
interval for a population proportion?
Group of answer choices:
(A) It is equal to the population proportion plus or minus a
calculated amount called the standard error.
(B) It is equal to the sample proportion plus or minus a
calculated amount called the margin of error.
(C) The confidence interval for a proportion will always contain
the true population proportion.
(D) The confidence interval for a proportion does not need...

A random sample of n individuals were selected. A 95% confidence
interval ($52,000 to $70,000) was constructed using the sample
results.
Which of the following statement(s) is/are true? (Can choose
answer more than 1)
If all possible samples of size n were drawn from this
population, about 95% of the population means would fall in the
interval ($52,000 to $70,000).
We do not know for sure whether the population mean is in the
interval $52,000 and $70,000.
If all possible...

A random sample of n individuals were selected. A 95% confidence
interval ($52,000 to $70,000) was constructed using the sample
results.
Which of the following statement(s) is/are true? ( Can choose
more than one answer)
If all possible samples of size n were drawn from this
population, about 95% of the population means would fall in the
interval ($52,000 to $70,000).
We do not know for sure whether the population mean is in the
interval $52,000 and $70,000.
If all...

1. The 95% confidence interval states that 95% of the sample
means of a specified sample size selected from a population will
lie within plus and minus 1.96 standard deviations of the
hypothesized population mean. T or F
2. Which of the following is NOT necessary to determine how
large a sample to select from a population?
Multiple Choice
The level of confidence in estimating the population
parameter
The size of the population
The maximum allowable error in estimating the...

Please criticize the following statement regarding the
interpretation of a confidence interval:
Results for a 95% Confidence Interval for estimating the
population mean: 74.1< Mean< 83.1
" After looking at the above results we can conclude that there
is a 95% chance that the confidence interval contains the true mean
of the population"
Is the above statement correct? Why? If it is not correct how
can we re-state the conclusion in order to interpret correctly the
above confidence interval?

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