However, the distribution looks skewed to the left with a longer tail starting at 25. There is also a second peak at 35. The frequency distribution tells us that the margin of victory is between 10-15 and occasional margin of victory at 35 above.
3. Based on the Frequency distribution and the Histogram chart, the distribution of the data has 3 peaks at 111-119, 127-135, 159-167. This means that the data may contain three types or categories because it is not normally distributed. The frequency distribution tells us that the different brands of vehicles can be categorized into three, depending on their vehicle quality ratings. The number of defects per 100 vehicles would depend on where the vehicle brand belongs.
4. Based on the Frequency distribution and the Histogram chart, the distribution of the consumer fraud complaints is centered on 30 to 49 years of age. The distribution follows a normal bell curve. This means that younger and older people has filed less consumer fraud complaints than those at the middle age. Younger people aged 19 and under files lesser complaints as shown by the negative skewness of the distribution.
5. The table was made into a chart that easily analyzes the trends in terms of investment type. Since the data is categorized into investment types, the data is color coded according to its type. Since the table is a time-series with data from 1996 to 2002, the x-axis of the graph is labeled with years. With this type of column graph, the reader can easily identify the different percentages per year as well as the different trends over