One of the most important distributions in statistics is the standard normal distribution. Technology was used to generate a sample of 3000 observations from a variable that has the standard normal distribution and to generate the accompanying histogram for the observations. Based on the histogram, what specific shape does the standard normal distribution have? Explain your reasoning. -4 -3 -2 -1 0 1 2 3 4 0 0.1 0.2 0.3 0.4 Class Relative Frequency A histogram has a horizontal axis labeled Class from negative 4.5 to 4.5 in increments of 1 and a vertical axis labeled Relative Frequency from 0 to 0.4 in increments of 0.02. The histogram contains 8 vertical bars of width 1 starting at the horizontal axis value negative 4. The heights of the bars are as follows, where the left horizontal axis value is listed first and the approximate height is listed second: negative 4, 0.002; negative 3, 0.021; negative 2, 0.131; negative 1, 0.338; 0, 0.352; 1, 0.132; 2, 0.023; 3, 0.001. Question content area bottom Part 1 The standard normal distribution is bimodal multimodal unimodal and right skewed. uniform. symmetric. left skewed. The distribution has a single peak at 1 comma a single peak at minus 1 comma a single peak at 0 comma peaks and minus 1 and 1 comma no discernible peak comma peaks at minus 1 comma 0 comma and 1 comma and the left tail is longer than the right tail. the right tail is longer than the left tail. the distribution is symmetric around the peak