The accompanying histogram shows the number of runs scored by baseball teams for three seasons. The distribution is roughly unimodal and symmetric, with a mean of 686 and a standard deviation of 68 runs. An interval one standard deviation above and below the mean is marked on the histogram. Assume the values in a bin are distributed uniformly. For example, if the leftmost line is at the midpoint, then half of that bin's values are below the line and half are above. Complete parts (a) through (0) below. Ii Click the icon to view the histogram. a. According to the Empirical Rule. approximately what percent of the data should fall in the interval from 618 to 754 (that is, one standard deviation above and below the mean)? Approximately % of the data should fall in the interval from 618 to 754. b. Use the histogram to estimate the actual percent of teams that fall in this interval. How did your estimate compare to the value predicted by the Empirical Rule? 0 A. 68% of the data falls in the interval from 618 to 754. The estimate is very close to the value predicted by the Empirical Rule. 0 B. 50% of the data falls in the interval from 618 to 754. The estimate is not close to the value predicted by the Empirical Rule. 0 c. 68% of the data falls in the interval from 618 to 754. The estimate is not close to the value predicted by the Empirical Rule. 0 D. 94% of the data falls in the interval from 618 to 754. The estimate is very close to the value predicted by the Empirical Rule. c. Between what two values would you expect to nd about 95% of the teams? You expect to nd about 95% of the teams between the two values (Simplify your answers. Use ascending order.) and Help me solve this View an example Statcrunch Histogram Frequency 2 at 30- 27 20 16 1o 4 2 2 3 o 500 600 700 300 900