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C207 WGU Exam Newest Exam Complete Questions and Correct Answers with Rationales | Already Graded A+||Brand New Version!!

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C207 WGU Exam Newest Exam Complete Questions and Correct Answers with Rationales | Already Graded A+||Brand New Version!! What is the key focus on analysis? - Answer- To predict trends using quantitative data. What are the four levels of measurement? - Answer- 1. Nominal 2. Ordinal 3. Interval 4. Ratio Nominal data - Answer- 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) Ordinal data - Answer- 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 Interval data - Answer- 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) Ratio data - Answer- 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) To challenge the validity and reliability of data, ask two things. - Answer- Are there any outliers and are there any errors? Outliers - Answer- 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 those two days. That's an outlier. You include the outliers to know how its effecting your bottom line. 2 categories of errors - Answer- 1. Random 2. Systematic Random error - Answer- 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. Systematic error - Answer- 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. Omission error - Answer- 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. out of range error - Answer- What is used to reduce errors? - Answer- 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. Treatment - Answer- 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. Blind study - Answer- when the subjects don't know if they are receiving the treatment or a placebo (a harmless procedure prescribed for the psychological benefit of the recipient) Double blind study - Answer- 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) Descriptive - Answer- For companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to... - Answer- analytics A manufacturer wants to maximize their factory output while specifically minimizing labor costs. What type of analytics might they employ to achieve this goal? - Answer- prescriptive analytics What type of data error that occurs in measurement is constant within a data set and is sometimes caused by faulty equipment or bias? - Answer- measurement bias 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? - Answer- Omission The use of Big Data is increasingly important to businesses in competitive markets. Which of the following characteristics is not true of big data? - Answer- can be analyzed with traditional spreadsheets The Davenport-Kim three-stage model consists of framing the problem, solving the problem, and communicating results. Which two of the following are part of framing the problem stage? - Answer- -determine the scope of the problem -review of previous findings A healthcare provider is researching blood glucose levels before and after exercising. What two elements should be part of any experimental study such as this? - Answer- treatment procedures Runners cover 26.2 miles in the Olympics marathon. What level of measurement is this? - Answer- ratio What level of measurement is the type of cars produced in Ford factory? - Answer- nominal What level of measurement is this the 10 best cities in the U.S. to retire in? - Answer- Ordinal What level of measurement are women's dress sizes (2,4,6, etc.)? - Answer- Interval A local school board is studying the impact of a proposed change in testing on math scores. Bias can be introduced into the study by both students and teachers. Which research technique would eliminate this type of bias? - Answer- Double blind study A Company's product development team test 3 new car waxes by waxing 5 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. What is the term for the five cars? - Answer- The experimental unit Random sample - Answer- samples need to be the right size and represent your population. Example: 1. What represents the population of NBA players? A: 50 players selected from the 2017 roster. Response Bias - Answer- You the responder feel persuaded or that you only have one answer (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 them asking you to. Conscious Bias - Answer- The researcher creates the bias in question phrasing. Lawyers call it "leading." -The "agree with me" approach. Example: - wouldn't you ...? - don 't you ...? - of course this is the obvious choice * it's important to test a survey before giving it out. Lack of binding - Answer- * one of the tools researcher use to remove bias. -removes previous experiences or perceptions. Causality - Answer- To test for causality, make sure we understand every variable that could influence the outcome. Once variable has been indentified, then we can say what the cause is. Example: Correlation is not "cause." Relationship is not "cause."

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C207 WGU Exam Newest Exam
Complete Questions and Correct
Answers with Rationales | Already
Graded A+||Brand New Version!!
What is the key focus on analysis? - Answer- To predict trends using quantitative data.

What are the four levels of measurement? - Answer- 1. Nominal
2. Ordinal
3. Interval
4. Ratio

Nominal data - Answer- 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)

Ordinal data - Answer- 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

Interval data - Answer- 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)

Ratio data - Answer- 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)

To challenge the validity and reliability of data, ask two things. - Answer- Are there any
outliers and are there any errors?

Outliers - Answer- 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 those
two days. That's an outlier. You include the outliers to know how its effecting your
bottom line.

2 categories of errors - Answer- 1. Random
2. Systematic

Random error - Answer- 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.

Systematic error - Answer- 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.

Omission error - Answer- 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.

out of range error - Answer-

What is used to reduce errors? - Answer- 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.

Treatment - Answer- 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.

Blind study - Answer- when the subjects don't know if they are receiving the treatment
or a placebo (a harmless procedure prescribed for the psychological benefit of the
recipient)

Double blind study - Answer- 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)

Descriptive - Answer-

, For companies to attract and retain their best customers they need a complete portrait
of who they are. To develop this portrait companies turn to... - Answer- analytics

A manufacturer wants to maximize their factory output while specifically minimizing
labor costs. What type of analytics might they employ to achieve this goal? - Answer-
prescriptive analytics

What type of data error that occurs in measurement is constant within a data set and is
sometimes caused by faulty equipment or bias? - Answer- measurement bias

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? - Answer- Omission

The use of Big Data is increasingly important to businesses in competitive markets.
Which of the following characteristics is not true of big data? - Answer- can be analyzed
with traditional spreadsheets

The Davenport-Kim three-stage model consists of framing the problem, solving the
problem, and communicating results. Which two of the following are part of framing the
problem stage? - Answer- -determine the scope of the problem
-review of previous findings

A healthcare provider is researching blood glucose levels before and after exercising.
What two elements should be part of any experimental study such as this? - Answer-
treatment procedures

Runners cover 26.2 miles in the Olympics marathon. What level of measurement is
this? - Answer- ratio

What level of measurement is the type of cars produced in Ford factory? - Answer-
nominal

What level of measurement is this the 10 best cities in the U.S. to retire in? - Answer-
Ordinal

What level of measurement are women's dress sizes (2,4,6, etc.)? - Answer- Interval

A local school board is studying the impact of a proposed change in testing on math
scores. Bias can be introduced into the study by both students and teachers. Which
research technique would eliminate this type of bias? - Answer- Double blind study

A Company's product development team test 3 new car waxes by waxing 5 cars with
each wax and then running them through a car wash. They then record number of

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