WGU C207 Questions
1. What is the key focus on analysis?: To predict trends using quantitative data.
2. What are the four levels of measurement?: 1. Nominal
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 subtracted)
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 sequentialvalue. 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 ozspaced)
6. Ratio data: 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 of data, ask two things.: Are there anyoutliers and are
there any errors?
8. Outliers: Don't throw them out. Do them in both ways.Example:
last week, you were closed for two days for renovations. Sales were a zero for thosetwo 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 overtime.
,Example:
if you are trying to find average delivery times and one delivery was effected by afour hour
Chicago traffic delay, that's random.
11. Systematic error: is when your deliveries (example) are slow and it is not bychance.
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. Itrepeats itself.
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 includedin 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 select 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 applythree
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 receiving the treatment or a placebo
(a harmless procedure prescribed for the psychological benefit of therecipient)
17. Double blind study: An experiment in which neither the participant nor the researcher
knows whether the participant has received the treatment or the placebo(a harmless procedure
prescribed for the psychological benefit of the recipient)
18. Descriptive:
19. For companies to attract and retain their best customers they need a complete portrait of
who they are. To develop this portrait companies turnto...: analytics
20. A manufacturer wants to maximize their factory output while specifically minimizing
labor costs. What type of analytics might they employ to achieve this goal?: prescriptive
analytics
21. What type of data error that occurs in measurement is constant within a data set and is
sometimes caused by faulty equipment or bias?: measurementbias
22. A city government is trying to determine 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?: Omission
, 23. The use of Big Data is increasingly important to businesses in competitive markets. Which
of the following characteristics is not true of big data?: can be analyzed with traditional
spreadsheets
24. The Davenport-Kim three-stage model consists of framing the problem, solving the
problem, and communicating results. Which two of the followingare part of framing the
problem stage?: -determine the scope of the problem
-review of previous findings
25. A healthcare provider is researching blood glucose levels before and after exercising. What
two elements should be part of any experimental study suchas this?: treatment procedures
26. Runners cover 26.2 miles in the Olympics marathon. What level of mea-surement is this?:
ratio
27. What level of measurement is the type of cars produced in Ford factory?-
: nominal
28. What level of measurement is this the 10 best cities in the U.S. to retirein?: Ordinal
29. What level of measurement are women's dress sizes (2,4,6, etc.)?: Interval
30. A local school board is studying the impact of a proposed change in testingon math scores.
Bias can be introduced into the study by both students and teachers. Which research technique
would eliminate this type of bias?: Doubleblind study
31. A Company's product development team test 3 new car waxes by waxing5 cars with each
wax and then running them through a car wash. They then record number of washes it takes
before the wax begins to deteriorate. Whatis the term for the five cars?: The experimental unit
32. Random sample: samples need to be the right size and represent your popu-lation.
Example:
1. What represents the population of NBA players?A: 50 players selected from the 2017 roster.
33. Response Bias: You the responder feel persuaded or that you only have oneanswer (one
way to answer it).
Example:
Your teacher ask you to fill in a survey for teacher of the year.
-In directly, you're inclined to fill in something favoring that teacher without themasking you
to.
34. Conscious Bias: The researcher creates the bias in question phrasing. Lawyerscall it
"leading."
1. What is the key focus on analysis?: To predict trends using quantitative data.
2. What are the four levels of measurement?: 1. Nominal
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 subtracted)
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 sequentialvalue. 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 ozspaced)
6. Ratio data: 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 of data, ask two things.: Are there anyoutliers and are
there any errors?
8. Outliers: Don't throw them out. Do them in both ways.Example:
last week, you were closed for two days for renovations. Sales were a zero for thosetwo 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 overtime.
,Example:
if you are trying to find average delivery times and one delivery was effected by afour hour
Chicago traffic delay, that's random.
11. Systematic error: is when your deliveries (example) are slow and it is not bychance.
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. Itrepeats itself.
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 includedin 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 select 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 applythree
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 receiving the treatment or a placebo
(a harmless procedure prescribed for the psychological benefit of therecipient)
17. Double blind study: An experiment in which neither the participant nor the researcher
knows whether the participant has received the treatment or the placebo(a harmless procedure
prescribed for the psychological benefit of the recipient)
18. Descriptive:
19. For companies to attract and retain their best customers they need a complete portrait of
who they are. To develop this portrait companies turnto...: analytics
20. A manufacturer wants to maximize their factory output while specifically minimizing
labor costs. What type of analytics might they employ to achieve this goal?: prescriptive
analytics
21. What type of data error that occurs in measurement is constant within a data set and is
sometimes caused by faulty equipment or bias?: measurementbias
22. A city government is trying to determine 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?: Omission
, 23. The use of Big Data is increasingly important to businesses in competitive markets. Which
of the following characteristics is not true of big data?: can be analyzed with traditional
spreadsheets
24. The Davenport-Kim three-stage model consists of framing the problem, solving the
problem, and communicating results. Which two of the followingare part of framing the
problem stage?: -determine the scope of the problem
-review of previous findings
25. A healthcare provider is researching blood glucose levels before and after exercising. What
two elements should be part of any experimental study suchas this?: treatment procedures
26. Runners cover 26.2 miles in the Olympics marathon. What level of mea-surement is this?:
ratio
27. What level of measurement is the type of cars produced in Ford factory?-
: nominal
28. What level of measurement is this the 10 best cities in the U.S. to retirein?: Ordinal
29. What level of measurement are women's dress sizes (2,4,6, etc.)?: Interval
30. A local school board is studying the impact of a proposed change in testingon math scores.
Bias can be introduced into the study by both students and teachers. Which research technique
would eliminate this type of bias?: Doubleblind study
31. A Company's product development team test 3 new car waxes by waxing5 cars with each
wax and then running them through a car wash. They then record number of washes it takes
before the wax begins to deteriorate. Whatis the term for the five cars?: The experimental unit
32. Random sample: samples need to be the right size and represent your popu-lation.
Example:
1. What represents the population of NBA players?A: 50 players selected from the 2017 roster.
33. Response Bias: You the responder feel persuaded or that you only have oneanswer (one
way to answer it).
Example:
Your teacher ask you to fill in a survey for teacher of the year.
-In directly, you're inclined to fill in something favoring that teacher without themasking you
to.
34. Conscious Bias: The researcher creates the bias in question phrasing. Lawyerscall it
"leading."
