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Sampling and Sampling Techniques: A. Census or Complete Enumeration

This document discusses different sampling techniques and concepts in statistics. It covers sampling methods like simple random sampling and stratified sampling. It also discusses key estimation concepts like point estimation, interval estimation, and standard error. Finally, it outlines elements of hypothesis testing like the null hypothesis, p-values, types of errors, and one-tailed versus two-tailed tests.

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Aura Lee
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468 views3 pages

Sampling and Sampling Techniques: A. Census or Complete Enumeration

This document discusses different sampling techniques and concepts in statistics. It covers sampling methods like simple random sampling and stratified sampling. It also discusses key estimation concepts like point estimation, interval estimation, and standard error. Finally, it outlines elements of hypothesis testing like the null hypothesis, p-values, types of errors, and one-tailed versus two-tailed tests.

Uploaded by

Aura Lee
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Sampling and Sampling Techniques

Question
1. _________ the process of gathering information from every unit in the
population.
a. Census or complete enumeration
b. Sample survey
c. Sample in survey work

2. __________ is an object on which a measure is taken.


a. Target population
b. Sampled population
c. Element

3. ____________ is a list of sampling units.


a. Sample
b. Frame
c. Sampling units

4. ____________ procedure wherein every element of the population is


given a (known) nonzero chance of being selected in the sample.
a. Nonprobability sampling
b. Probability sampling
c. Purposive sampling
5. ____________ observation of the population is a sample that is
chosen in such a way that each subset on n observations of the
population has the same chance of being selected.
a. Systematic sampling
b. Stratified sampling
c. Simple random sampling
Estimation
Question
1. Scores on a variable are _______ if the graph of its relative frequency
distribution is a bell-shape curve.
a. Point estimation
b. Normal distribution
c. Population mean
2. Formula that gives a range of values for estimating a parameter.
a. Point estimator.
b. Interval estimator
c. Estimation
3. Measures the closeness of the different possible values of the
estimator to each other.
a. Standard error
b. Precision
c. Point estimation
4. ___________ are estimation methods wherein a range of values, or an
interval is used to estimate the unknown value of the parameter.
a. Confidence interval estimation
b. Interval estimation
c. Sample error
5. Deals with verifying a claim or a conjecture about a parameter or
distribution of the population.
a. Estimation
b. Hypothesis testing
c. Normal distribution
Elements of hypothesis
Question
1. This is a statement of equality or status qou or no difference.
a. Ho
b. Ha
c. µ
2. This value indicates the chance of committing a certain type of error:
rejection the null hypothesis when in fact it is true.
a. Levels of significance α
b. P-value
c. Test statistics
3. The probability of observing a value of the test statistics more extreme
than the computed/observed value given that the null hypothesis is
true.
a. P-value
b. Type II error
c. Type I error
4. Do not reject the null hypothesis when in fact it is false.
a. Reject
b. Type II error
c. Type III error
5. It is a test where the alternative hypothesis does not specify a
directional difference for the parameter of interest.
a. One tailed test of hypothesis
b. Two tailed test of hypothesis
c. Alternative hypothesis

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