Question

1.
What is the difference between population and sample? Use samples
to explain.

Answer #1

The “population” in statistics includes all members of a defined group that we are studying or collecting information on for data driven decisions.

A part of the population is called a sample. It is a proportion of the population, a slice of it, a part of it and all its characteristics. A sample is a scientifically drawn group that actually possesses the same characteristics as the population – if it is drawn randomly.

Lets take a class which contains 50 students is population.

From that class we select few students lets say, students who are from a particular city is a sample.

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1. The difference between a sample mean and the population mean
or the difference between the means of two random samples is
called: A. nonresponse error. B. selection bias. C. sampling error.
D. nonsampling error.
2. The manager of the customer service division of a major
consumer electronics company is interested in determining whether
the customers who have purchased a videocassette recorder over the
past 12 months are satisfied with their products. If there are 4
different brands of videocassette...

1. What is the difference between population proportion vs
sample proportion vs probability? Please explain.

. Describe the difference between a "population" and a "sample."
What is a "representative sample"? What is the best way to achieve
representativeness in a sample?

a. What is the difference between population mean and sample
mean?
b. Describe the difference between point estimate and a
confidence interval?
c. Describe the role that confidence level play in the
confidence interval?

Consider the following results for independent samples taken
from two populations.
Sample 1
Sample 2
n1 = 500
n2= 200
p1= 0.45
p2= 0.34
a. What is the point estimate of the difference
between the two population proportions (to 2 decimals)?
b. Develop a 90% confidence interval for the
difference between the two population proportions (to 4 decimals).
Use z-table.
to
c. Develop a 95% confidence interval for the
difference between the two population proportions (to 4 decimals).
Use z-table....

Consider the following results for independent samples taken
from two populations.
Sample 1
Sample 2
n1 = 500
n2= 300
p1= 0.43
p2= 0.36
a. What is the point estimate of the difference
between the two population proportions (to 2 decimals)?
b. Develop a 90% confidence interval for the
difference between the two population proportions (to 4 decimals).
Use z-table.
to
c. Develop a 95% confidence interval for the
difference between the two population proportions (to 4 decimals).
Use z-table....

Probability And Statistics
Question:
What is the difference between sample and population?
Why we have choose sampling method instead of population analysis?
Explain sampling procedures with suitable examples?

What could be the explanation for the difference between the
sample mean and the population mean ?

In testing the difference between two population means using two
independent samples, the population standard deviations are assumed
to be unknown, each sample size is 30, and the calculated test
statistic z = 2.56. If the test is a two-tailed and the 5% level of
significance has been specified, the conclusion should be:
a.
none of these answers is correct.
b.
choose two other independent samples.
c.
reject the null hypothesis.
d.
not to reject the null hypothesis.

Consider the following results for independent samples taken
from two populations.
Sample 1
Sample 2
n1 = 400
n2 = 300
p1 = 0.53
p2 = 0.36
A. What is the point estimate of the difference between the two
population proportions? (Use
p1 − p2.
)
B. Develop a 90% confidence interval for the difference between
the two population proportions. (Use
p1 − p2.
Round your answer to four decimal places.)
to
C. Develop a 95% confidence interval for the...

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