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BUAL 2600 EXAM 1 QUESTIONS AND ANSWERS 2024/2025 $12.49   Add to cart

Exam (elaborations)

BUAL 2600 EXAM 1 QUESTIONS AND ANSWERS 2024/2025

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  • BUAL 2600
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  • BUAL 2600

Analyticsis → a PROCESS that examines data using a variety of statistical tools and involves Qualitative → • Data is ORDINAL or NOMINAL Continuous → decimal/fraction → example= GPA Discrete → whole number → example= students in class Census → An examination all of the pop...

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  • October 15, 2024
  • 22
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • BUAL 2600
  • BUAL 2600
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2 0 2 4 /2025 | © copyright | This work may not be copied for profit gain Excel!


BUAL 2600 EXAM 1 QUESTIONS AND
ANSWERS 2024/2025
Analyticsis

→ a PROCESS that examines data using a variety of statistical tools and involves


Qualitative

→ • Data is ORDINAL or NOMINAL


Continuous

→ decimal/fraction
→ example= GPA


Discrete


→ whole number
→ example= students in class


Census

→ An examination all of the population


population

→ is the entire group of individuals from which we want information.


Sample


→ is a part of the population (a subset) we actually collect as the dataset to analyze.
Then draw conclusions to apply to the entire population.



1|Page| GradeA+ | 2 0 0 2 5

,2 0 2 4 /2025 | © copyright | This work may not be copied for profit gain Excel!

Sample

→ from the population the descriptive data needed so that everyone in the population
has an equal chance to be part of the it


Convenient

→ select a sample of people/things because it is convenient or easy to get the data;
readily available data


Voluntary

→ self selected sample; those who want to participate, do so. Usually participate
because they have a strong opinion on the issue


Convenient and Voluntary

→ These sampling methods result in a bias called Undercoverage


Random Sampling


→ everyone in the population has an equal chance of being chosen as part of the sample


Multistage Cluster sampling

→ divide population into clusters and then randomly select clusters; sample
everyone/everything in each cluster


Simple Random Sampling

→ the basic method and included in the other three methods: Stratified, Systematic, or
Cluster
→ disadvantages= time consuming and also bias of lot of strata


Stratified random sample


1|Page| GradeA+ | 2 0 0 2 5

, 2 0 2 4 /2025 | © copyright | This work may not be copied for profit gain Excel!

→ divide population into non-overlapping groups (strata) then select a random sample
from each strata
→ •if one characteristic is important
→ disadvantages= if more than one group then not possible


Systematic sampling formula

→ number in population/number in sample


Systematic sampling

→ list population, select random starting point w no pattern, sample each nth element
→ disadvantages= lose precision of characteristics


Coverage Biases

→ sampling does not include representation from the entire population, people are
excluded


Measurement Error

→ procedures result in collecting incorrect data
→ or doesn't answer business problem


Coverage issues (selection & ethical)

→ can be caused by sampling method used or how sampling is conducted
→ under, nonresponse, low response


Low Response Rates

→ most national surveys result in a 40% or less response rate; sample is not
representative of population




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