He data to the right represent the weights (in grams) of a random sample of 50 candies.

0.96 0.84 0.93 0.98 0.74 0.86 0.86 0.75 0.82 0.95
0.84 0.77 0.79 0.79 0.71 0.86 0.87 0.82 0.84 0.83
0.82 0.94 0.77 0.74 0.89 0.82 0.89 0.77 0.82 0.98
0.73 0.86 0.84 0.89 0.83 0.84 0.88 0.88 0.94 0.86
0.71 0.81 0.86 0.91 0.91 0.82 0.77 0.76 0.82

complete parts (a) through (f).

(a) determine the sample standard deviation weight. 068 gram(s) (round to three decimal places as needed.)

(b) on the basis of the histogram to the right, comment on the appropriateness of using the empirical rule to make any general statements about the weights of the candies. o a. the histogram is approximately bell-shaped so the empirical rule cannot be used. frequency o b. the histogram is not approximately bell-shaped so the empirical rule can be used. c. the histogram is approximately bell-shaped so the empirical rule can be used. od. the histogram is not approximately bell-shaped so the empirical rule cannot be used. 0. 71 weights (g)

(c) use the empirical rule to determine the percentage of candies with weights between 0.704 and 0.976 gram. hint: x=0.840. ype an integer or decimal. do not round.)

(d) determine the actual percentage of candies that weigh between 0.704 and 0.976 gram, inclusive. 1% (type an integer or decimal. do not round.)

(e) use the empirical rule to determine the percentage of candies with weights more than 0.908 gram. % (type an integer or decimal. do not round.)

(f) determine the actual percentage of candies that weigh more than 0.908 gram. % (type an integer or decimal. do not round.)