Question

*explain the difference between creating a sampling
distribution (i.e. plotting sample means or sample proportions in a
probability distribution) vs. plotting individual data
points.*

*explain why it makes sense that increasing the
sample size should decrease the standard deviation in a normal
distribution. Explain what this does to the overall shape of the
normal curve*

Answer #1

PLEASE TYPE ANSWERS. THANKS!
1. What is the sampling distribution model for a difference
between proportions? (i.e., what is the mean and standard deviation
of this distribution?) Use both words and formulas.
2. What is a two-proportion z-interval? Use words and
symbols.

Question 2: Which of the following statements about the
sampling distribution of means is not true?
A. A sample distribution's mean will always equal the parent
population distribution's mean
B. The sampling distribution of means approximates the normal
curve.
C. The mean of a sampling distribution of means is equal to the
population mean.
D. The standard deviation of a sampling distribution of means is
smaller than the standard deviation of the population.

Describe the distribution of sample means (i.e., shape, measure of
central tendency, and variability) for samples of size n = 49
selected from a population with mean µ = 14 and standard deviation
σ = 7. Be specific and calculate as necessary.

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....

When we can consider the Sampling distribution of the sample
means as a Normal distribution?
Choose 1 response :
a. If the population is Normally distributed
b. If there is no information about population distribution and
sample size is 24
c. If the population is not Normally distributed and sample size is
24
d. If population is not Normally distributed but sample size
n≥30

Can a normal approximation be used for a sampling distribution
of sample means from a population with μ=43 and σ=8, when
n=36?
Answer
TablesKeypad
Yes, because the mean is greater than 30.
No, because the sample size is more than 30.
Yes, because the sample size is at least 30.
No, because the standard deviation is too small.

1. When conducting a t test for differences between means,
increasing sample size impacts the
a. standard deviation of the sampling distribution
b. degrees of freedom
c. t score
d. all of the above
2. In terms of finding importance vs. statistics
a. researchers can analyze importance as well as
significance
b. there is no difference between importance and
significance
c. the distinction is entirely dependent upon data
d. researchers cannot formally assess importance
3. When finding significance involving two...

Which of the following statements about the sampling
distribution of the sample mean, ¯xx¯ , is the correct?
1The distribution is normal regardless of the shape of the
population distribution, as long as the sample size, n, is large
enough.
2The distribution is normal regardless of the sample size, as
long as the population distribution is normal.
3The distribution's mean is the same as the population mean.
4The distribution's standard deviation is smaller than the
population standard deviation.
5All of...

Select the correct definition of a sampling distribution of a
sample proportion.
a. a probability distribution of the count of a certain
characteristic of interest for all possible random samples of size
?ntaken from a population
b. a probability distribution of the sample proportions of a
certain characteristic of interest for all possible random samples
of size ?n taken from the population
c. a probability distribution of a population proportion of a
certain characteristic of interest for all possible random...

1) Determine whether the following hypothesis test involves a
sampling distribution of means that is a normal distribution,
Student t distribution, or neither.
Claim about IQ scores of statistics instructors: μ > 100.
Sample data: n = 15, x ¯= 118, s = 11.
The sample data appear to come from a normally distributed
population with unknown μand σ.
a) student T-distribution
b) Normal distribution
c) Neither
2)
Determine whether the following hypothesis test involves a
sampling distribution of means...

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