Question

To find the sampling distribution of x bar, we need to:

Group of answer choices

Compute the mean of the standard error

Compute the mean of the proportion

Collect many samples, then find the mean of each sample

Collect many samples, then find the mean of the proportion

To use the Central Limit Theorem:

Group of answer choices

We need to know the type of distribution the underlying population follows

We do not need to know the type of distribution the underlying population follows

We need the underlying distribution to follow a normal distribution

We need the underlying distribution to follow a centrally limited distribution

A sample size is considered large if:

Group of answer choices

It is 10 or more

It is 30 or more

It is 50 or more

It is 100 or more

Answer #1

1)To find the sampling distribution of x bar, we need to:

**- Collect many samples, then find the mean of each
sample**

( As to find the sampling distribution of x bar we first find the mean of a large number of sample)

2)To use the Central Limit Theorem:

**-We do not need to know the type of distribution the
underlying population follows**

( Because The central limit theorem says that doesn't matter what the distribution of the underlying poplation follows as the sample size increases the sampling distribution of the mean follows normal distribution)

3)A sample size is considered large if:

-**It is 30 or more**

1. In a standard normal distribution, the
Group of answer choices
mean is 1 and the standard deviation is 0.
mean and the standard deviation can have any value.
mean is 0 and the standard deviation is 1.
mean and the standard deviation are both 1.
2.
For the density curve below, which of the following is true?
Group of answer choices
It is skewed left.
The mean is about 0.7.
The total area under the curve is 1.
It...

To construct a confidence interval for the mean you will
need?
Group of answer choices
the expected value from the underlying distribution.
a point estimate.
a p-value.
the maximum value of the distribution.

The spread or variation in the sampling distribution of means is
called the __________ of the mean.
Group of answer choices:
Standard error
Standard deviation
Standardization
Standard dispersion
----
The Central Limit Theorem tells us that : .
Group of answer choices
- If we keep taking samples from a population, and plot those
means on a curve, they will form a bell-shaped, or normal,
curve.
- Standard error is a measure of how much the sample means do
vary....

TRUE OR FALSE:
1. The sampling distribution of (X-bar) is
always a normal distribution according to the Central limit
theorem.
4. If the sampled population is a normal distribution, then the
sampling distribution of (X-bar is normal only for a
large enough sample size.
5. If p=.8 and n=50, then we can conclude that the sampling
distribution of the proportions is approximately a normal
distribution.
8. Assuming the same level of significancea, as the
sample size increases, the critical t-value...

You may need to use the appropriate appendix table or technology
to answer this question. Software companies work hard to produce
software that does not have bugs in it. The average number of bugs
found in a new software program at its inception is 26.5 with a
standard deviation of 3.5 bugs. A random sample of size 45 software
programs was examined. (a) Determine the mean (in bugs) of the
sampling distribution of the sample mean for samples of size...

1.
The power of a statistical hypothesis test should be
Group of answer choices
small
large
equal to 1 - Î±
2.
If the Type II error rate of a statistical hypothesis test is
0.15,
Group of answer choices
the Type I error rate is 0.15
the Type I error rate is 0.85
the power is 0.15
the power is 0.85
3.
If sampled observations are from a normal distribution, the
QQplot should look
Group of answer choices
bell-shaped
u-shaped...

Statistics sampling concept
1. we sample 7groups from the population and each group has
n=10,then we calculate the mean for each group . Finally, we use
the mean of each group to calculate the mean . The mean should be
closed to the population mean
2. we only sample one group but the n is large so the mean of
that group would be close to population mean as well
my question is when I should apply the first method...

What is Probability Sampling? Group of answer choices .
a. is a technique in which every unit in the population has a
chance (non-zero probability) of being selected in the sample, and
this chance can be accurately determined. Sample statistics thus
produced, such as sample mean or standard deviation, are unbiased
estimates of population parameters, as long as the sampled units
are weighted according to their probability of selection.
b.is a technique where all possible subsets of a population
(more...

1. Suppose X approximates a binomial
distribution with n = 10, p = .35 . Compute Pr (
X = 4 ).
The population of students that took the last
statistics quiz had a mean score of 17 and a standard deviation of
2. Assume a normal distribution. What is the Z score of
17?
Group of answer choices
2
Cannot be determined
1
0
Group of answer choices
0.1285
0.4000
0.2377
0.2901
The population of students that took the...

Suppose you are interested in finding out how happy the students
are at UNR. You design a survey that probes aspects of an
individualâ€™s emotional life, and using this survey are able to
compute an accuracy index score ranging from 0 (completely
miserable) to 100 (nauseatingly happy). You know that the standard
deviation of the population (sigma) equals 8; however you do not
know, and want to know, what the mean of the population (mu) is.
Rather than give the...

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