ISDS 361A Exam 1
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1. Statistics a way of getting information
-helps make valid decisions.
2. Data the facts and figures collected, analyzed, and summarized for presentation and
interpretation
3. information Data converted into a meaningful and useful context
4. business deci- these include strategic decisions (very important ones which can affect the overall
sions success of the business)
5. Business Analyt- the scientific process of transforming data into insight for making better business
ics decisions.
6. Data science Managing and analyzing massive sets of data for purposes such as target market-
ing, trend analysis, and the creation of individually tailored products and services.
7. Descriptive sta- Data that is summarized and presented in a form that is easy for the reader to
tistics understand.
-statistical information in newspapers, magazines, company reports, and other
publications
--summaries of data which may be tabular, graphical, or numerical.
8. inferential statis- statistics using data from a sample to make estimates and test hypotheses about
tics the characteristics of a population.
-goes beyond the data at our disposal.
-drawing conclusions. large set of data: population, which is based on smaller set
of sample data.
9. population the set of all elements of interest in a particular study.
10. sample a subset of the population
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, ISDS 361A Exam 1
Study online at https://quizlet.com/_80etiv
11. Parameter a descriptive measure of the population that is of interest.
- EX: the mean, mu
12. statistic a descriptive measure that is calculated from the sample.
EX: the sample mean
13. purpose of infer- -make inferences about a parameter if a population
ential statistics -based on information obtained from a statistic of a sample ( with a certain degree
of confidence)
14. Data collection -to obtain a "representative sample" that exhibits the characteristics of the entire
population.
15. Sources of Data a) Primary = the CLIENT
b) Secondary = all other sources which does NOT COME FROM THE client
16. Why random targets population and eliminates bias, but extremely difficult to achieve.
sampling?
17. Non-random the result of using a sampling method that is not random, such as using a
sampling error convenience sample or a voluntary response sample
18. selection bias A polling error in which the sample is not representative of the population being
studied, so that some opinions are over- or underrepresented
19. non-response Bias introduced into survey results because individuals refuse to participate.
bias
20. statistical ethics important to give the right direction to research so that it is objective and reflects
the truth
21. Histogram a bar graph depicting a frequency distribution
2/6
Study online at https://quizlet.com/_80etiv
1. Statistics a way of getting information
-helps make valid decisions.
2. Data the facts and figures collected, analyzed, and summarized for presentation and
interpretation
3. information Data converted into a meaningful and useful context
4. business deci- these include strategic decisions (very important ones which can affect the overall
sions success of the business)
5. Business Analyt- the scientific process of transforming data into insight for making better business
ics decisions.
6. Data science Managing and analyzing massive sets of data for purposes such as target market-
ing, trend analysis, and the creation of individually tailored products and services.
7. Descriptive sta- Data that is summarized and presented in a form that is easy for the reader to
tistics understand.
-statistical information in newspapers, magazines, company reports, and other
publications
--summaries of data which may be tabular, graphical, or numerical.
8. inferential statis- statistics using data from a sample to make estimates and test hypotheses about
tics the characteristics of a population.
-goes beyond the data at our disposal.
-drawing conclusions. large set of data: population, which is based on smaller set
of sample data.
9. population the set of all elements of interest in a particular study.
10. sample a subset of the population
1/6
, ISDS 361A Exam 1
Study online at https://quizlet.com/_80etiv
11. Parameter a descriptive measure of the population that is of interest.
- EX: the mean, mu
12. statistic a descriptive measure that is calculated from the sample.
EX: the sample mean
13. purpose of infer- -make inferences about a parameter if a population
ential statistics -based on information obtained from a statistic of a sample ( with a certain degree
of confidence)
14. Data collection -to obtain a "representative sample" that exhibits the characteristics of the entire
population.
15. Sources of Data a) Primary = the CLIENT
b) Secondary = all other sources which does NOT COME FROM THE client
16. Why random targets population and eliminates bias, but extremely difficult to achieve.
sampling?
17. Non-random the result of using a sampling method that is not random, such as using a
sampling error convenience sample or a voluntary response sample
18. selection bias A polling error in which the sample is not representative of the population being
studied, so that some opinions are over- or underrepresented
19. non-response Bias introduced into survey results because individuals refuse to participate.
bias
20. statistical ethics important to give the right direction to research so that it is objective and reflects
the truth
21. Histogram a bar graph depicting a frequency distribution
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