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MVP AP CSP UNIT 9 DATA Review Flashcards | StudBud
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MVP AP CSP UNIT 9 DATA Review
MVP AP CSP UNIT 9 DATA Review
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Answers
1
Visualizations help us look at lots of data at once and see patterns that are "invisible" if you just look at the table.
True
False
2
What is the bucket size of this histogram?
75
35
5
16
3
What is Citizen Science?
Something no one is interested in
Citizen's that do not like science
Scientific research about people
Public participation in scientific research
4
Which of the following conclusions is BEST supported by the scatter plot?
Older dogs weigh more than younger dogs
Dog with a higher maximum weight tend to have longer maximum lifespans
All dog breeds tend to have the same average lifespan
Dog with a higher maximum weight tend to have shorter maximum lifespans
5
Cleaning data and filtering data are the same thing.
True
False
6
What is Big Data?
More massive volume of data than could be evaluated by traditional methods
QuickBooks or SAP R/3
Transactions that fit in an ordinary database
A lot of data that aren’t using effectively
7
Big data doesn't help marketing
False
True
8
What is the most accurate description of what this data is actually showing from Google Trends
People search for "dogs" more frequently than "cats"
People like dogs more than cats
The popularity of dogs as pets is slightly increasing over time
There was a sharp increase in the dog population between 2014 and 2015
9
Data that describes other data.
heuristic
metadata
dataset
algorithm
10
Which of the following is
MOST
likely to address concerns about the biased or inaccurate data?
Visiting the same neighborhood to collect more survey responses
Visiting multiple new neighborhoods to collect more survey responses
Surveying the same people to ask more detailed questions.
Using an app rather than paper surveys
11
Which of the following is an example of crowdsourcing?
calling a friend to ask a question about a personal topic
tweeting a trending hashtag for your followers to see
posting questions to Yahoo! Online community for answers
writing a blog post about your daily activities
12
What is open source data?
Data that is gathered from a large group of people
Datasets that are larger than ever before, used in machine learning
Data freely available to anyone
Data that is specifically numerical
13
Chili's is interested in learning about menu preferences. Which strategy is of
LEAST
help in analyzing the data?
Cleaning data to remove inconsistencies in response (e.g, ten & 10)
Filtering data for responses within certain categories (age, region, etc)
Cleaning data to remove unwanted patterns
Iteratively creating visualizations to ask and answer new questions
14
What is crowdsourced data?
Data freely available to anyone
Data that is specifically numerical
Data that is gathered from a large group of people
Datasets that are larger than ever before, used in machine learning
15
In which of the following situations would parallel computing systems
MOST
likely be used to help analyze data?
Data analysis involving large datasets
Data analysis resulting in 2 or more different types of visualizations
Data analysis involving both string and numeric data
Data analysis involving two or more columns of data
16
Why is machine learning powerful?
Scale and Reach
Trusting the machine means you can focus more on strategy
Better creative output.
It's not. Don't trust the Machine. Trust Florence.
17
What is Machine learning?
ML is a subset of artificial intelligence
ML is when multiple Artificial Intelligences are combined
ML is software that performs automated analysis
ML is the same of Artificial Intelligence
18
Which of the following is
not
a purpose of cleaning and filtering a data set?
draw conclusions from the data
make information easier for computer to process
examining a subset of responses
remove/change inconsistent response formats
