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PSTAT 5LS UCSB Final 2025/2026 Exam Questions with 100% Correct Answers | Latest Update

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PSTAT 5LS UCSB Final 2025/2026 Exam
Questions with 100% Correct Answers |
Latest Update



data - 🧠 ANSWER ✔✔collection of observations (e.g. measurements,

survey responses)


population - 🧠 ANSWER ✔✔-Complete collection of all of the data of

interest

-In many cases the population conceptual (e.g. daily yields of a power plant

for next 2 years

-In most cases measuring the whole population is too costly, unnecessary

or impossible

-The entire group of individuals in which we are interestedbut can't usually

assess directly


sample - 🧠 ANSWER ✔✔-Subset of the population


-a subset of measurements selected from the population of interest



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,-should be representative of the population

-could be the whole population (e.g. US Census in ideal situations)

-many possible samples when sample is a subset of the whole population

-The part of the population we actually examine and for which we do have

data


parameter - 🧠 ANSWER ✔✔-is a number summarizing a characteristic of

the population

-A numerical measure describing a

population characteristic


statistic - 🧠 ANSWER ✔✔-is a number summarizing a characteristic of a

sample

-A numerical measure describing a samplecharacteristic


statistical inference - 🧠 ANSWER ✔✔makes use of information from a

sample to draw conclusions about the population from which the sample

was taken


inference process - 🧠 ANSWER ✔✔Step 1: What is the QUESTION of

interest?


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,Step 2: What POPULATION is associated with the

QUESTION?

Step 3: Take a SAMPLE from the POPULATION.

Step 4: Measure one or more VARIABLES on each unit in the Sample.

Step 5: Make a SUMMARY of all Sample Data obtained on the

VARIABLES.

Step 6: Make an INFERENCE about the POPULATION from the Sample

Summary.


context - 🧠 ANSWER ✔✔-What do the values represent?


-Where did the data come from?

-Why were they collected?

-An understanding of the context will directly affect the statistical procedure

used.


source of data - 🧠 ANSWER ✔✔-Is the source objective?


-Is the source biased?

-Is there some incentive to distort or spin results to support some self-

serving position?

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, -Is there something to gain or lose by distorting results?

-Be vigilant and skeptical of studies from sources that may be biased.


sampling method? - 🧠 ANSWER ✔✔-Does the method chosen greatly

influence the validity of the conclusion?

-Voluntary response (or convenience) samples often have bias (those with

special interest are more likely to participate or sample is not representative

of the population). These samples' results are not necessarily valid.

-The gold standard is random sampling.

the best sampling method (good sampling method) - 🧠 ANSWER

✔✔random sampling


conclusion and practical implications - 🧠 ANSWER ✔✔-Make statements

that are clear to those without an understanding of statistics and its

terminology.

-Avoid making statements not justified by the statistical analysis.

-State practical implications of the results.

-There may exist some statistical significance yet

there may be NO practical significance.


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