C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
1. What is the key focus on analysis? To predict trends using quantitative data.
2. What are the four levels of measure- 1. Nominal
ment? 2. Ordinal
3. Interval
4. Ratio
3. Nominal data is categorical. It has no numerical value. It's not
a number.
Examples:
-the types of pizza you sell
-meatball
-veggie
-cheese
(these are labels, they can't be added or sub-
tracted)
4. Ordinal data is ranked, but doesn't have a specific value.
Example:
-the size of pizza (small, medium, large)
(we can't add or subtract these but we can put
them in sequential order)
- order (key word)
- no numerical value
5. Interval data data is numeric. You can add and subtract it.
It has a sequential value. Each value is equally
spaced from the previous value.
Example:
- drink sizes are interval (16 oz, 20 oz, 24 oz) they
are equally spaced about (4 oz spaced)
6. Ratio data
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
is numeric. Your sales per day are ratio data.
Example"
- 10 sales of $12.99 a piece = $129.99
(the value has a true value from zero)
7. To challenge the validity and reliability Are there any outliers and are there any errors?
of data, ask two things.
8. Outliers Don't throw them out. Do them in both ways.
Example:
last week, you were closed for two days for ren-
ovations. Sales were a zero for those two days.
That's an outlier. You include the outliers to know
how its effecting your bottom line.
9. 2 categories of errors 1. Random
2. Systematic
10. Random error is something that happens just once and will not
repeat over time.
Example:
if you are trying to find average delivery times
and one delivery was effected by a four hour
Chicago traffic delay, that's random.
11. Systematic error is when your deliveries (example) are slow and
it is not by chance.
Example:
A delivery driver has nursed the fuel injector on
his car for the past six months. It breaks down
one out of every 20 deliveries he makes. This is
Systematic error. It repeats itself.
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
12. Omission error An error because something is missing.
Example:
A delivery driver didn't clock in or out for his
delivery. That data will not be included in study
and it's relevant.
-A data set with an omission error is defined as
distorted.
13. out of range error
14. What is used to reduce errors? a number of quality control tools.
Example:
a survey customers take only allows them to se-
lect responses from a list. That way, they can't
type anything in wrong.
15. Treatment Example: You want to make a crispier pizza and
to do this, you apply three different sets of oil to
three different pizza to measure the crispiness of
the crust.
16. Blind study when the subjects don't know if they are receiv-
ing the treatment or a placebo (a harmless pro-
cedure prescribed for the psychological benefit
of the recipient)
17. Double blind study An experiment in which neither the participant
nor the researcher knows whether the partici-
pant has received the treatment or the placebo
(a harmless procedure prescribed for the psy-
chological benefit of the recipient)
18. Descriptive
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
19. For companies to attract and retain analytics
their best customers they need a com-
plete portrait of who they are. To devel-
op this portrait companies turn to...
20. A manufacturer wants to maximize prescriptive analytics
their factory output while specifically
minimizing labor costs. What type of
analytics might they employ to achieve
this goal?
21. What type of data error that occurs in measurement bias
measurement is constant within a data
set and is sometimes caused by faulty
equipment or bias?
22. A city government is trying to deter- Omission
mine the national origins of its recent
immigrant population. If a survey of the
immigrant population is conducted in
English what type of error be present in
the data?
23. The use of Big Data is increasingly im- can be analyzed with traditional spreadsheets
portant to businesses in competitive
markets. Which of the following charac-
teristics is not true of big data?
24. The Davenport-Kim three-stage model -determine the scope of the problem
consists of framing the problem, solv- -review of previous findings
ing the problem, and communicating
results. Which two of the following are
part of framing the problem stage?
C207 WGU
Study online at https://quizlet.com/_68ggfb
1. What is the key focus on analysis? To predict trends using quantitative data.
2. What are the four levels of measure- 1. Nominal
ment? 2. Ordinal
3. Interval
4. Ratio
3. Nominal data is categorical. It has no numerical value. It's not
a number.
Examples:
-the types of pizza you sell
-meatball
-veggie
-cheese
(these are labels, they can't be added or sub-
tracted)
4. Ordinal data is ranked, but doesn't have a specific value.
Example:
-the size of pizza (small, medium, large)
(we can't add or subtract these but we can put
them in sequential order)
- order (key word)
- no numerical value
5. Interval data data is numeric. You can add and subtract it.
It has a sequential value. Each value is equally
spaced from the previous value.
Example:
- drink sizes are interval (16 oz, 20 oz, 24 oz) they
are equally spaced about (4 oz spaced)
6. Ratio data
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
is numeric. Your sales per day are ratio data.
Example"
- 10 sales of $12.99 a piece = $129.99
(the value has a true value from zero)
7. To challenge the validity and reliability Are there any outliers and are there any errors?
of data, ask two things.
8. Outliers Don't throw them out. Do them in both ways.
Example:
last week, you were closed for two days for ren-
ovations. Sales were a zero for those two days.
That's an outlier. You include the outliers to know
how its effecting your bottom line.
9. 2 categories of errors 1. Random
2. Systematic
10. Random error is something that happens just once and will not
repeat over time.
Example:
if you are trying to find average delivery times
and one delivery was effected by a four hour
Chicago traffic delay, that's random.
11. Systematic error is when your deliveries (example) are slow and
it is not by chance.
Example:
A delivery driver has nursed the fuel injector on
his car for the past six months. It breaks down
one out of every 20 deliveries he makes. This is
Systematic error. It repeats itself.
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
12. Omission error An error because something is missing.
Example:
A delivery driver didn't clock in or out for his
delivery. That data will not be included in study
and it's relevant.
-A data set with an omission error is defined as
distorted.
13. out of range error
14. What is used to reduce errors? a number of quality control tools.
Example:
a survey customers take only allows them to se-
lect responses from a list. That way, they can't
type anything in wrong.
15. Treatment Example: You want to make a crispier pizza and
to do this, you apply three different sets of oil to
three different pizza to measure the crispiness of
the crust.
16. Blind study when the subjects don't know if they are receiv-
ing the treatment or a placebo (a harmless pro-
cedure prescribed for the psychological benefit
of the recipient)
17. Double blind study An experiment in which neither the participant
nor the researcher knows whether the partici-
pant has received the treatment or the placebo
(a harmless procedure prescribed for the psy-
chological benefit of the recipient)
18. Descriptive
, C207 WGU
C207 WGU
Study online at https://quizlet.com/_68ggfb
19. For companies to attract and retain analytics
their best customers they need a com-
plete portrait of who they are. To devel-
op this portrait companies turn to...
20. A manufacturer wants to maximize prescriptive analytics
their factory output while specifically
minimizing labor costs. What type of
analytics might they employ to achieve
this goal?
21. What type of data error that occurs in measurement bias
measurement is constant within a data
set and is sometimes caused by faulty
equipment or bias?
22. A city government is trying to deter- Omission
mine the national origins of its recent
immigrant population. If a survey of the
immigrant population is conducted in
English what type of error be present in
the data?
23. The use of Big Data is increasingly im- can be analyzed with traditional spreadsheets
portant to businesses in competitive
markets. Which of the following charac-
teristics is not true of big data?
24. The Davenport-Kim three-stage model -determine the scope of the problem
consists of framing the problem, solv- -review of previous findings
ing the problem, and communicating
results. Which two of the following are
part of framing the problem stage?
