BUAL 2600 exam 1 Questions And Answers Rated 100% Correct!!
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Course
BUAL 2600
Institution
BUAL 2600
Systematic sampling - ️️list population, select random starting point w no pattern,
sample each nth element
disadvantages= lose precision of characteristics
Stratified random sample - ️️divide population into non-overlapping groups (strata)
then select a random sample from each strata
...
BUAL 2600 exam 1
Systematic sampling - ✔️✔️list population, select random starting point w no pattern,
sample each nth element
disadvantages= lose precision of characteristics
Stratified random sample - ✔️✔️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
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.
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
Systematic sampling formula - ✔️✔️number in population/number in sample
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
Undercoverage - ✔️✔️sampling from a list that is incomplete because not all the
population is on the list
Point-of-Sale Systems (POS) - ✔️✔️accept payments from customers; keep track of
sales and inventory for online and/or physical stores
Sensor Data - ✔️✔️a device that detects the change in the environment and converts
change into a measurable digital signal for reading or further processing
Social Media Data - ✔️✔️computer-based sharing of ideas, thoughts, and information
through virtual networks e.g. Facebook, Twitter
Difference between this and CSD is you are sharing/posting
confidential - ✔️✔️identification is coded but known by someone in charge
Response Bias - ✔️✔️leading questions to get data you want
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