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WGU C207 Data-Driven Decision Making: Course Materials & Resources 2025

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Access essential WGU C207 Data-Driven Decision Making resources for 2025. This collection includes key concepts, analytical techniques, and models for business analytics to help you prepare for assessments and excel in the course.

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WGU C207 EXAMS NEWEST 2025 PACKAGE DEAL|

C207 DATA DRIVEN DECISION MAKING FINAL EXAM

PREP WITH COMPLETE ACTUAL EXAM QUESTIONS

AND CORRECT VERIFIED ANSWERS/ ALREADY

GRADED A+ (MOST RECENT!!)

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:

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-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

,Page 3 of 134


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.

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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:

Connected book
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Parul Gandhi, Surbhi Bhatia, Kapal Dev Data Driven Decision Making using Analytics
Publisher: 2021 ISBN: 9781000506433 Edition: Unknown

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