Question

1. You have collected information on the brand of cell phone owned by 100 students. Which of the following visualizations should not be used on this type of data?

   		Histogram
   		Bar chart
   		Pie chart
   		Stacked column chart

2. I have collected data and for one of my variables, the mean is 100, the median is 90 and the mode is 80. What shape is the distribution of this variable?

   		Symmetric
   		Right skewed
   		Left skewed

3. You have recorded the level of traffic on I76 (as light, medium, or heavy) for every hour the day for the last 5 weeks. What is the variable type and level of measurement?

   		Categorical; nominal
   		Numerical discrete; ordinal
   		Numerical discrete; ratio
   		Categorical; ordinal

Answer 1

1)

You have collected information on the brand of cell phones owned by 100 students. Which of the following visualizations should not be used on this type of data?

Here we will get the data with Brand names & frequency

Brand A : 20

Brand B: 30

Brand C: 10

So here we have to use a bar chart to show this data.

In x-axis use Name of brand & bar have a length as a number of students have a brand phone,

Answer:- Bar Chart

2)

• if the distribution of data is skewed to the left(Negatively skewed), the mean is less than the median, which is often less than the mode.
  (median < median < mode)

• If the distribution of data is skewed to the right(Positively skewed), the mode is often less than the median, which is less than the mean.
  (mean > median > mode)

• If the distribution of data is symmetric, the mode = the median = the mean.

I have collected data and for one of my variables, the mean is 100, the median is 90 and the mode is 80. What shape is the distribution of this variable?

Mean = 100 > Median = 90 > Mode = 80

Answer:- Right Skewed

3)

You have recorded the level of traffic on I76 (as light, medium, or heavy) for every hour the day for the last 5 weeks. What is the variable type and level of measurement?

Here 3 levels

Light, medium, heavy

Here we know that the one level is greater than the other but don't know that the greater or less by how much.

So it is an ordinal type data

And we have categories it so it is categorical ordinal.

Answer:- Categorical; ordinal