Front

Which of the following could the photographer NOT do based on the metadata of her photographs?
- Filter photos to those taken in the last week
- Filter photos to those taken in a particular country
- Filter photos to those taken of buildings
- Filter photos to those taken with her favorite camera

Back

Filter photos to those taken of buildings

Answer explanation

9.1 - Since the metadata contains nothing about the content of the images themselves, the photographer could not filter photos to those taken of any particular object, including buildings.

Front

Due to a computer error, the Time metadata for all of the photographs is accidentally set to the same time of day. Which of the following is MOST likely to be the result of this problem?
The photographer will not be able to view any of the images, The photographer will not be able to sort images by the date they were taken, The photographer will not be able to filter to photographs taken in the morning, The photographer will not be able to find images taken on the same date

Back

The photographer will not be able to filter to photographs taken in the morning

Answer explanation

9.1 - With all of the metadata about the time the photographs were taken set the same time of day, it will be impossible for the photographer to tell which photos were taken at that time of day and when all the others were truly taken.

Front

Which column of data might be able to be visualized or analyzed but first would need to be cleaned? Options: How Travel, How Long, Time Arrive, Biggest Challenges

Back

How Long

Answer explanation

After deciding on a standard form for the data in this column, the data could all be converted to this form and then visualized and analyzed.

Front

Which information could likely NOT be found with the data collected? Options: Whether students who are new to the school take longer to get to school than other students, The average time it takes students to get to school, The most common travel mode students use to get to school, Whether students who arrive to school later take longer to get to school

Back

Whether students who are new to the school take longer to get to school than other students

Answer explanation

Since there is no information about how long each student has attended the school, we can't make any claims about how long new students take to get to school.

Front

The chart above shows the frequency of searches for the words "pencil" and "pen" over a 5 year period. Which of the following is the best interpretation of the chart above?

Back

At any point in time there are typically more people searching for the word "pen" than "pencil"

Answer explanation

The facts of the matter are related to searches. The other options are either opinions or would require more data than what is shown in the graph.

Front

The mayor of a city is interested in learning what goals are most important for residents of the city. Members of her staff visit one of the many neighborhoods in the city and ask 20 residents to fill out a survey. The mayor is concerned that the survey may be biased and not accurately reflect the overall interests in her town. Which strategy is MOST likely to address concerns about the data being biased or inaccurate? Options: Finding the same people surveyed previously to ask more detailed questions, Visiting the same neighborhood to collect more survey responses, Visiting multiple new neighborhoods to collect more survey responses, Having her staff collect the data using an app rather than paper surveys.

Back

Visiting multiple new neighborhoods to collect more survey responses

Answer explanation

Compared with all the other options, visiting multiple new neighborhoods will allow the mayor to collect a set of responses more representative of her town as a whole.

Front

In which of the following situations would parallel systems MOST likely be used to help analyze data? Data analysis involving two or more columns of data, Data analysis involving both string and numeric data, Data analysis involving large datasets, Data analysis that could result in two or more different types of visualizations

Back

Data analysis involving large datasets

Answer explanation

Since parallel systems are easily scalable, they lend themselves to handing data sets too big to be processed on one computer.

Front

Which of the following conclusions is BEST supported by the scatter plot?
Dog breeds with a higher maximum weight tend to have shorter maximum lifespans, Dog breeds with a higher maximum weight tend to have longer maximum lifespans, All dog breeds tend to have the same average lifespan, Older dogs weigh more than younger dogs

Back

Dog breeds with a higher maximum weight tend to have shorter maximum lifespans

Answer explanation

The points on the left side of the graph tend to be higher than the points on the right side of the graph. You can see this pattern if you add a trendline to the data.

Front

Which of the following conclusions is BEST supported by the scatter plot? Most dogs breeds have a maximum weight of 100 lbs or more, Most dog breeds have a maximum life span of 10 or fewer years, All dog breeds that weigh less than 50 pounds have a maximum lifespan of more than 10 years, No dog breeds that weigh more than 150 pounds are expected to live more than 10 years.

Back

All dog breeds that weigh less than 50 pounds have a maximum lifespan of more than 10 years.

Answer explanation

In the picture below, you can see there are no data points below 10yrs on the y-axis. All of the other claims are contradicted by the data shown on the graph.

Front

Which of the following conclusions is BEST supported by the histogram chart?
More than half of all states are larger than 100,000 square miles,
More than half of all states are smaller than 50,000 square miles,
Some states are larger than 200,000 square miles,
The most common size of states is between 50,000 and 100,000 square miles

Back

The most common size of states is between 50,000 and 100,000 square miles

Answer explanation

Histograms show frequency of data in a range or "bucket". In this case, the range that contained the most data (individual states) was 50,000-100,000 square miles.