Kunny DHA Quiz 4 & 5

You want to visually depict the quarterly sales of different product categories over the past two years. Which chart type would be best suited for this task?

• Stacked Bar Chart
• Dual-Axis Line Chart
• Scatter Plot
• Box Plot

Your dataset consists of the distribution of employee salaries within your organization. Which type of chart would be most appropriate to visualize this data?

• Line Chart
• Pie Chart
• Box Plot
• Column Chart

You aim to illustrate the percentage of total annual revenue contributed by different business segments. Which chart would best present this data?

• Scatter Plot
• Pie Chart
• Line Chart
• Bubble Chart

You wish to highlight the relationship between a person's height and their weight, and also indicate the person's age. Which chart type would be most fitting for this purpose?

• Line Chart
• Box Plot
• Bubble Chart
• Column Chart

Your task is to compare the monthly performance of two different sales teams over the past year. What chart type would best facilitate this comparison?

• Bar Chart
• Tree Map
• Box Plot
• Scatter Plot

You are analyzing a dataset with two variables, and you want to understand if there is any correlation between them. Which chart type would be best for this task?

• Column Chart
• Scatter Plot
• Pie Chart
• Box Plot

You have a dataset with multiple categories and you want to show how the individual parts make up the whole. Which chart type is best suited for this task?

• Stacked Bar Chart
• Line Chart
• Box Plot
• Scatter Plot

You are interested in understanding the trends in stock prices over the last decade. What chart type should you choose?

• Box Plot
• Line Chart
• Pie Chart
• Bar Chart

A line chart has been used to show the total monthly rainfall in a city over a year. However, the city is known to have micro-climates and the distribution of rainfall can vary dramatically within the city. What potential issue might this presentation of data have?

• The line chart is misleading because rainfall does not occur in a continuous manner.
• The line chart does not capture the variability of rainfall within the city, potentially leading to incorrect assumptions about rainfall patterns.
• The line chart is inappropriate because rainfall should be measured annually, not monthly.
• The line chart is incorrect because it does not show the relationship between rainfall and temperature.

You have been presented with a scatter plot showing the relationship between employee satisfaction and productivity. There is a clear positive correlation, but one outlier shows an employee with extremely high satisfaction but low productivity. How should this outlier be treated?

• The outlier should be ignored because it doesn't fit the overall pattern.
• The outlier should be removed from the analysis because it skews the results.
• The outlier needs to be investigated further because it might indicate a situation where the general trend does not apply.
• The outlier should be included to show the full range of data.