Data and Information HW #1

I have a dataset from a music streaming service with the following columns: Song name, artist, number of total plays, song genre. Which of the following questions CANNOT be answered with this data?

• Which song has the highest number of plays?

• Do artists with one really popular song tend to have other really popular songs?

• Are folk songs or r&b songs more popular, on average?

• Do users who listen to one of an artist's songs also listen to their other songs?

Metadata is "data about data". For example, a photo's data is the actual information contained in the photo (the color of each pixel), while its metadata could include things like where and when the photo was taken. Which of the following would NOT be considered metadata of a text message?

• The length of the text message

• The phone numbers of the sender and receiver

• The content of the text message

• The time at which the text message was sent and received

I took a survey of a bunch of PHS seniors that asked them about their current grades and future plans. I collected the following information:

-- Student's GPA

-- Student's intended college major

-- List of colleges the student is applying to

-- The academy the student is currently in

Which of the following could NOT be answered by analyzing this data?

• Whether more App Academy students are interested in engineering majors than LPS students

• The average GPA of students accepted to a college

• Which college interests the most students with a 4.0 or above

• Which college major is the most common choice for students who said they were interested in Caltech

I wrote a function to do some fancy math with a large input array of numbers. When testing my program, I collected this data about how long my program takes to run for different-sized arrays. Which of the following is the best guess as to how long my code will take for an array of length 4,000?

• 10 minutes

• 5 minutes

• 2 minutes

• 1.5 minutes

One way that data can be useful is predicting the future by looking at past trends. Which of these websites do you predict will have the most visits in 2020?

• Site A

• Site B

• Site C

• Site D