Statistical Mathematics - Statistics Project Example

The peak is flat, which is characterized by kurtosis = -0.05. The peak is off centered; the distribution is slightly skewed to the right, which is marked by skewness = 0.06. Figure 2 illustrates histogram of daytime accidents. Visual inspection shows that the frequency distribution does not have a bell curve shape. The histogram does not have a peak and frequencies are not equally distributed. The peak is flat, which is characterized by kurtosis = -0.07. The peak is off centered; the distribution is moderately skewed to the right, which is marked by skewness = 0.42. Figure 3 illustrates histogram of total vehicles on the street.

Visual inspection shows that the frequency distribution does not have a bell curve shape. The histogram resembles the back of a two-humped camel; it is close to a bimodal distribution. The histogram does not have a peak and frequencies are not equally distributed. The peak is flat, which is characterized by kurtosis = -0.88. The peak is off centered; the distribution is moderately skewed to the left, which is marked by skewness = -0.14. The assignment is using a data set that has three variables: daytime car accidents, nighttime car accidents and total observed cars in evaluating number of accidents (Table 1). . The distribution characters of the variable in statistics are measured through the calculation and analysis of central tendency and dispersion of the data set.

The following section provides the analysis mentioned above. Each variable has twelve values. The assignment uses mean, mode, median, and midrange to study the central tendency of the data set. Table 2 describes the central tendency. The mean and median tell us about data those are on the right and left sides of theses values. For example, total cars mean is 450. In ascending orders, the set shows that five values are on the left, and seven values are on the right side of the average. When we compare the same set with the median value of