The video tutorial explores the concepts of symmetry and skewness in data distributions. It explains how to identify symmetrical and skewed distributions using histograms, stem plots, and box plots. The tutorial also discusses how skewness affects the median and mean, with specific focus on left and right skewness. Techniques for determining skewness in stem plots and box plots are provided, including the impact of outliers and the role of whiskers in box plots.

What are the tools mentioned for displaying a distribution?

• Bar graphs, histograms, and scatter plots

• Pie charts, bar graphs, and line graphs

• Histograms, stem plots, and box plots

• Scatter plots, line graphs, and pie charts

How is a symmetrical distribution defined?

• It has a long tail on one side

• It can be divided into two equal parts of the same shape

• It has more data points on one side

• It has outliers affecting its shape

What indicates a distribution is skewed to the left?

• A long tail that trails towards the left

• No tails on either side

• Equal data points on both sides

• A long tail that trails towards the right

How can you determine the skew of a stem plot?

• By flipping it onto its side

• By counting the number of stems

• By measuring the height of the stems

• By comparing it to a histogram

What should you look at to determine skewness in a box plot with unequal boxes?

• The side of the box that is larger

• The number of outliers

• The length of the whiskers

• The position of the median

If the boxes in a box plot are equal in size, what should you examine next to determine skewness?

• The number of data points

• The position of the median

• The length of the whiskers

• The presence of outliers

Where is the plane of symmetry located in a symmetrical distribution?

• At the highest data point

• At the mode

• At the median

• At the mean

In a skewed distribution, where is the mean located relative to the median?

• Closer to the tail

• At the same position

• Always to the right

• Always to the left

If a distribution is skewed to the right, how does the mean compare to the median?

• The mean is not affected

• The mean is greater than the median

• The mean is equal to the median

• The mean is less than the median

What happens to the mean in a distribution skewed to the left?

• It remains equal to the median

• It is unaffected by skewness

• It becomes less than the median

• It becomes greater than the median