Constructing Histograms with Unequal Intervals

The video tutorial explains how to construct a histogram when class intervals are not the same. It covers the concept of class intervals, how to adjust frequencies for unequal intervals, and the steps to plot the histogram on a graph. The tutorial emphasizes the importance of using adjusted frequencies to ensure accurate data representation. It concludes with a call to action for viewers to subscribe for more educational content.

What is the main challenge when constructing a histogram with unequal class intervals?

• The x-axis and y-axis cannot be labeled.

• Direct comparison of frequencies is incorrect.

• The class intervals are difficult to identify.

• The bars will be of the same size.

Why can't we directly compare sequences of different class intervals?

• Because the intervals are too small.

• Because the intervals are not uniform.

• Because the intervals are too large.

• Because the intervals are not labeled.

What is the first step in calculating new frequencies for unequal class intervals?

• Multiply the frequency by the class interval.

• Divide the frequency by the class interval.

• Subtract the frequency from the class interval.

• Add the frequency to the class interval.

After dividing the frequency by the class interval, what is the next step?

• Multiply by the highest class interval.

• Multiply by the lowest class interval.

• Add the lowest class interval.

• Subtract the highest class interval.

What should be plotted on the x-axis when constructing the histogram?

• The class intervals

• The total data points

• The original frequencies

• The new frequencies

What should be plotted on the y-axis when constructing the histogram?

• The total data points

• The new frequencies

• The original frequencies

• The class intervals

What is the highest frequency used in the example histogram?

• 3

• 6

• 2

• 5

How should the bars be drawn when class intervals are different?

• Bars should be drawn randomly.

• Bars should be proportional to the class intervals.

• All bars should be the same size.

• Bars should be drawn with equal spacing.

What is the purpose of using new frequencies in the histogram?

• To simplify the calculation process.

• To ensure accurate representation of data.

• To avoid using the y-axis.

• To make the graph look more appealing.

What should you do if the highest frequency is over 6?

• Reduce the number of class intervals.

• Use the same scale for the y-axis.

• Ignore the highest frequency.

• Use a different scale for the y-axis.