Computer Science Principles Unit 9 Review

Computer Science Principles Unit 9 Review

Multiple Choice

Which of the following is LEAST likely to be part of the process used to analyze the data?

• Filtering the data to look at the responses from only certain groups

• Cleaning data to remove inconsistencies

• Iteratively creating visualizations to ask and answer new questions

• Cleaning a data visualization to remove unwanted patterns

Large Data sets

needs parallel systems to analyze beacuse it is too much for humans to process easily

Multiple Choice

Which type is data will likely be most difficult to visualize or analyze?

• height

• life span

• weight

• positive memories associated with dog breed

Multiple Choice

Which type of data might be able to be visualized or analyzed but first would need to be cleaned?

• date

• inconsistent measurement units

• time

• student ID

Multiple Choice

In the following dog dataset, which of the following would likely NOT be found with the the collected data?

• name

• height

• life span

• personality traits

Metadata

data about data

Multiple Choice

Which of the following is NOT collected as metadata?

• size of image file

• time image taken

• date image taken

• photographer's favorite image

Multiple Choice

If the time column of metadata of videos was deleted, which of the following is MOST likely to be the result of this problem?

• unable to filter by time of data

• unable to filter by size of video

• unable to filter by date

• unable to filter by file name

Open Data

• "sharing data with others so they can can analyze it"

• Open data is publicly available data shared by governments, organizations, and others

• Making data open help spread useful knowledge or creates opportunities for others to use it to solve problems

Crowd-Sourcing

• "collecting data from others so you can analyze it"

• Crowdsourcing is the practice of obtaining input or information from a large number of people via the Internet.

Multiple Choice

Which of the following is an example of crowd-sourced data?

• number of socks owned

• voting records

• online poll

• home exercise stats

Citizen Science

• Citizen science is research where some of the data collection is done by members of the public using own computing devices which leads to solving scientific problems

Multiple Choice

Which of the following is an example of citizen science?

• voting records

• home exercise stats

• peak visiting times of a local park

• number of socks owned

Google Trends

• shows search terms over time period, location

• can compare results for human data analysis

Multiple Choice

The chart below shows the frequency of searches for the words "car" and "truck" over a 5 year period. Which of the following is the best interpretation of the chart below?

• The number of cars sold has increased slowly over time

• cars are a better driving tool than trucks

• At any point in time there are typically more people searching for the word "car" than "truck"

• More people use cars than trucks

Histogram

• a graphical display of data using bars of different heights

• It is similar to a Bar Chart, but a histogram groups numbers into ranges

Multiple Choice

Which of the following conclusions is BEST supported by the histogram chart?

• The most common weight of dogs is between 20 and 100 lbs

• More than half of all dogs' max weights are larger than 100 lbs

• More than half of all dogs' max weights are smaller than 90 lbs

Scatterplot

type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. 

Multiple Choice

Which of the following conclusions is BEST supported by the scatter plot?

• Most dog breeds have a maximum life span of 10 or fewer years

• Most dogs breeds have a maximum height of 36 inches or more

• All dog breeds that are less than 15 inches have a maximum lifespan of more than 11 years

Bias

Machine Learning will likely replicate human bias with the data used to train it

Multiple Choice

Which of the following is likely to lead to machine learning bias?

• data samples were very large

• data was sorted by who the researcher thought was attractive

• inconsistent data was removed before sorting