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WorksheetsDES 230 - Quatitative Data Measurements
Total questions: 45
Worksheet time: 23mins
Name
Class
Date
1.
Why is Quantitative Data important?
a)
Always the same. The difference between 60 degrees and 70 degrees is the same as 70 degrees and 80 degrees.
b)
It is easy to collect a very large amount of data very efficiently
c)
Middle.
d)
Data that has a hierarchy and can be ranked
2.
What's more efficient than qualitative data?
a)
Average. Sum total / number of elements
b)
Straightforward Analyses
c)
It is easy to collect a very large amount of data very efficiently
d)
Quantitative Data COLLECTION
3.
What are commonly-used types of quantitative data?
a)
They relate to one another but have no ordered hierarchy
b)
Very highly standardized
c)
You can order them, but no math
d)
Mode can have multiple results
4.
What is safe to assume about all quantitative data?
a)
Space between units is not uniform; may not even be a zero
b)
The average of those two elements
c)
Not all quantitative data is standardized
d)
Always the same. The difference between 60 degrees and 70 degrees is the same as 70 degrees and 80 degrees.
5.
Quantitative Data ANALYSIS are what?
a)
Addition and Subtraction only
b)
Very highly reliable
c)
It is easy to collect a very large amount of data very efficiently
d)
Multiple points of the same category data
6.
What is not reliable for Quantitative Data?
a)
Quantitative Data COLLECTION
b)
Not all quantitative data is standardized
c)
Math isn't possible with nominal data
d)
The average of those two elements
7.
What issue do both Quantitative Data Analysis and Quantitative Data Collection share?
a)
Not necessarily valid
b)
Middle.
c)
Basic Descriptive Data
d)
Means something other than nothing
8.
Analysis wise, what type of data is often very straightforward?
a)
Space between units is not uniform; may not even be a zero
b)
Basic Descriptive Data
c)
Quantitative Data COLLECTION
d)
Mode can have multiple results
9.
What are examples of basic descriptive data?
a)
Name, height and weight
b)
Depends on the levels of measurement
c)
Not all quantitative data is standardized
d)
Name, place of birth, ethnicity, favorite game
10.
How can basic descriptive be analyzed and used?
a)
Depends on the levels of measurement
b)
Mean, Median, and Mode (I)
c)
Very highly standardized
d)
Name, place of birth, ethnicity, favorite game
11.
What are Levels of Measurement?
a)
Determined by how the data is collected. Not the methodology, but the form which it is encoded
b)
Numerical data as we generally understand it.
c)
Mean, Median, and Mode (I)
d)
Means something other than nothing
12.
What are the four levels of measurement?
a)
You can order them, but no math
b)
Nominal, Ordinal, Interval, Ratio
c)
Categorical Data , Qualitative Variable
d)
Math isn't possible with nominal data
13.
What does Ratio mean in Data?
a)
Addition and Subtraction only
b)
Very highly standardized
c)
Numerical data as we generally understand it.
d)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
14.
What are some examples of Ratio in data?
a)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
b)
They relate to one another but have no ordered hierarchy
c)
Length, mass, weight, HP, money
d)
The average of those two elements
15.
What is true about ratio data space?
a)
The average of those two elements
b)
Categorical Data , Qualitative Variable
c)
It's always the same. The difference in $1 and $2 is the same as $2 and $3.
d)
Numerical data as we generally understand it.
16.
What does Zero mean in Ratio data?
a)
Numerical data that does not have an absolute zero
b)
Addition and Subtraction only
c)
Measures of central tendency
d)
Nothing / absence of whatever is being measured
17.
What type of Data can you use multiplication, division, addition, and subtraction on?
a)
Ratio data
b)
Nominal, Ordinal, Interval, Ratio
c)
They relate to one another but have no ordered hierarchy
d)
Depends on the levels of measurement
18.
What is Interval Data?
a)
mean, median, mode
b)
Nominal, Ordinal, Interval, Ratio
c)
Categorical Data , Qualitative Variable
d)
Numerical data that does not have an absolute zero
19.
What are some examples of Interval Data?
a)
Fahrenheit, Celsius, time of day
b)
Nominal, Ordinal, Interval, Ratio
c)
Straightforward Analyses
d)
Very highly reliable
20.
What is true about Interval data space?
a)
Always the same. The difference between 60 degrees and 70 degrees is the same as 70 degrees and 80 degrees.
b)
Nothing / absence of whatever is being measured
c)
mean, median, mode
d)
It is easy to collect a very large amount of data very efficiently
21.
What does zero mean in Interval Data.
a)
The average of those two elements
b)
Straightforward Analyses
c)
Median and Mode
d)
Means something other than nothing
22.
What kind of math can you do on Interval Data?
a)
Means something other than nothing
b)
Addition and Subtraction only
c)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
d)
Very highly standardized
23.
What is Ordinal Data?
a)
Data that has a hierarchy and can be ranked
b)
Depends on the levels of measurement
c)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
d)
Multiple points of the same category data
24.
What are some examples of Ordinal Data?
a)
Quantitative Data COLLECTION
b)
Addition and Subtraction only
c)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
d)
Average. Sum total / number of elements
25.
What is true about Ordinal data space?
a)
Nominal, Ordinal, Interval, Ratio
b)
The most common number
c)
Space between units is not uniform; may not even be a zero
d)
Not necessarily valid
26.
Can you do basic math on Ordinal Data?
a)
You can order them, but no math
b)
mean, median, mode
c)
Very highly standardized
d)
Math isn't possible with nominal data
27.
What is Nominal Data?
a)
Measures of central tendency
b)
Names or Categories
c)
Straightforward Analyses
d)
Mode can have multiple results
28.
What are other terms for Nominal Data?
a)
Multiple points of the same category data
b)
Categorical Data , Qualitative Variable
c)
Numerical data as we generally understand it.
d)
You can order them, but no math
29.
What are some examples of Nominal Data?
a)
Name, place of birth, ethnicity, favorite game
b)
With controls in place, this helps identify reliable patterns through derived statistics
c)
The most common number
d)
Not all quantitative data is standardized
30.
What is true about Nominal data space?
a)
Mode
b)
They relate to one another but have no ordered hierarchy
c)
Not necessarily valid
d)
Middle.
31.
Can you do basic math on nominal data?
a)
Multiple points of the same category data
b)
Very highly reliable
c)
Mode can have multiple results
d)
Math isn't possible with nominal data
32.
What can you do number wise with Nominal Data?
a)
You can count it! (how many names, how many genders in a room, etc.)
b)
The most common number
c)
Fahrenheit, Celsius, time of day
d)
Space between units is not uniform; may not even be a zero
33.
What does Quantitative analysis require collecting?
a)
It's always the same. The difference in $1 and $2 is the same as $2 and $3.
b)
Multiple points of the same category data
c)
Nothing / absence of whatever is being measured
d)
Name, place of birth, ethnicity, favorite game
34.
Why does Quantitative data require multiple points of the same category data?
a)
Middle.
b)
The most common number
c)
Very highly reliable
d)
With controls in place, this helps identify reliable patterns through derived statistics
35.
What are the most basic derived statistics measured as?
a)
Measures of central tendency
b)
Not all quantitative data is standardized
c)
Numerical data that does not have an absolute zero
d)
Ratio data
36.
What are the measures of central tendency?
a)
mean, median, mode
b)
Median and Mode
c)
Mean, Median, and Mode (I)
d)
1. Rank the difficulty from 1-5 2. infant, toddler, preteen, teenager, adult 3. bad, okay, good, great
37.
What does Mean mean?
a)
Average. Sum total / number of elements
b)
It is easy to collect a very large amount of data very efficiently
c)
Names or Categories
d)
Measures of central tendency
38.
What does Median mean?
a)
Nominal, Ordinal, Interval, Ratio
b)
Middle.
c)
Determined by how the data is collected. Not the methodology, but the form which it is encoded
d)
Name, height and weight
39.
If there are two middle elements in a median, how do you get the median?
a)
Numerical data as we generally understand it.
b)
The average of those two elements
c)
It's always the same. The difference in $1 and $2 is the same as $2 and $3.
d)
Nothing / absence of whatever is being measured
40.
What does Mode mean?
a)
Numerical data as we generally understand it.
b)
The most common number
c)
Very highly reliable
d)
Nothing / absence of whatever is being measured
41.
Which out of Mean, Median, and Mode can have more than one?
a)
Nominal, Ordinal, Interval, Ratio
b)
Basic Descriptive Data
c)
Fahrenheit, Celsius, time of day
d)
Mode can have multiple results
42.
What can Nominal Variables calculate?
a)
Mode
b)
The most common number
c)
Numerical data that does not have an absolute zero
d)
Length, mass, weight, HP, money
43.
What can Ordinal Variables calculate?
a)
Depends on the levels of measurement
b)
Median and Mode
c)
Addition and Subtraction only
d)
They relate to one another but have no ordered hierarchy
44.
What can Interval Variables calculate?
a)
Basic Descriptive Data
b)
Middle.
c)
Mean, Median, and Mode (I)
d)
Name, place of birth, ethnicity, favorite game
45.
What can Ratio Variables calculate?
a)
The average of those two elements
b)
Mode
c)
Mean, Median, and Mode (0)
d)
Nothing / absence of whatever is being measured
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