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
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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: