Here is the exam study guide: Exam 1 Study Guide.docx
Exam Date: Feb 20, 2020 (Thursday)
Exam Time: Class Time
Exam Location: Alter 607
ITAs’ Review Sessions:
- Oviya: Wednesday Feb 19 from 1pm – 2pm in Alter 236B – Breakout Room
Post your own exam question !
I ask you to come up with a question from the materials we covered as part of the Exam 1. You can work with a group of friends or individually to form your question. You will then post your question below in the comment box and indicate your name(s). I will then select one or two of these posted questions and use them in Exam 1.
Question format should be multiple choice, question should have a clear single answer and relate to our Exam 1 materials.
We will spare last 10 minutes of our class today to this activity. Due date to post your question is 2/18 @ 11:59PM.
Which of the following describes the “string” data type?
a. whole numbers
b. fractional values
c. binary values
d. numeric and non-numeric characters
correct answer is d
Which of the following is not traditionally considered one of the Vs of data?
– Velocity
– Volume
– Variety
– Value (this is the answer)
What is the name for the testable predictions from an idea?
– Theory
– Data
– Hypothesis (this is the answer)
– Scientific Law
1). A characteristic of open data is that
a. It can come from any sources
b. It can be redistributed to others
c. It be available for free
d. All of the above
Answer: d, All of the above
Which of the following is NOT a data visualization that was focused on?
A. Scatter Plot
B. Line Charts
C. Bubble Chart
D. Bar Charts
According to Unwin, the reason for using graphic displays is:
A. to delight and entertain the viewer
B. to present or explore data
C. to convince or to inform the viewer
D. to simplify or clarify relationships in the data
Answer: B.
Under Moore’s Law, how many months does it take the transistors on a computer chip to double>
A. 18 (this is the answer)
B. 12
C. 24
D. 6
Which Data Visualization should be used for finding and analyzing TRENDS in your data set?
1. Pie Chart
2. Line Chart
3. Heat Map
4. Bar Chart