C207 WGU REVIEW ACTUAL QUESTIONS AND
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Terms in this set (344)
What is the key focus on analysis? To predict trends using quantitative data.
What are the four levels of 1. Nominal
measurement? 2. Ordinal
3. Interval
4. Ratio
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)
, 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
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)
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)
To challenge the validity and Are there any outliers and are there any errors?
reliability of data, ask two things.
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 those two days.
That's an outlier. You include the outliers to know
how its effecting your bottom line.
2 categories of errors 1. Random
2. Systematic
CORRECT DETAILED ANSWERS | ALREADY
SCORED A+ | NEWLY UPDATED
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Terms in this set (344)
What is the key focus on analysis? To predict trends using quantitative data.
What are the four levels of 1. Nominal
measurement? 2. Ordinal
3. Interval
4. Ratio
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)
, 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
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)
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)
To challenge the validity and Are there any outliers and are there any errors?
reliability of data, ask two things.
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 those two days.
That's an outlier. You include the outliers to know
how its effecting your bottom line.
2 categories of errors 1. Random
2. Systematic
