1. The data below represent the weights (in grams) of a random sample of 50 candies. 0.99 0.87 0.84 0.85 0.82 0.86 0.98 0.85 0.82 0.82 0.83 0.89 0.79 0.85 0.89 0.83 0.71 0.82 0.76 0.83 0.93 0.79 0.78 0.93 0.84 0.94 0.88 0.87 0.84 0.75 0.97 0.83 0.78 0.79 0.82 0.79 0.85 0.89 0.89 0.79 0.71 0.82 0.75 0.73 0.81 0.81 0.89 0.94 0.92 0.84 a. Determine the sample standard deviation weight between 0.709 and 0.973 gram. b. Determine the actual percentage of candies that weigh between 0.709 and 0.973 gram, inclusive.

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Can someone explain question 1 (a & b), please.

1. The data below represent the weights (in grams) of a random sample of 50 candies.
0.99
0.87
0.84
0.85
0.82
0.86
0.98
0.85
0.82
0.82
0.83
0.89
0.79
0.85
0.89
0.83
0.71
0.82
0.76
0.83
0.93
0.79
0.78
0.93
0.84
0.94
0.88
0.87
0.84
0.75
0.97
0.83
0.78
0.79
0.82
0.79
0.85
0.89
0.89
0.79
0.71
0.82
0.75
0.73
0.81
0.81
0.89
0.94
0.92
0.84
a. Determine the sample standard deviation weight between 0.709 and 0.973 gram.
b. Determine the actual percentage of candies that weigh between 0.709 and 0.973 gram, inclusive.
2. An economist believes that the percentage of urban households with Internet access is greater
Transcribed Image Text:1. The data below represent the weights (in grams) of a random sample of 50 candies. 0.99 0.87 0.84 0.85 0.82 0.86 0.98 0.85 0.82 0.82 0.83 0.89 0.79 0.85 0.89 0.83 0.71 0.82 0.76 0.83 0.93 0.79 0.78 0.93 0.84 0.94 0.88 0.87 0.84 0.75 0.97 0.83 0.78 0.79 0.82 0.79 0.85 0.89 0.89 0.79 0.71 0.82 0.75 0.73 0.81 0.81 0.89 0.94 0.92 0.84 a. Determine the sample standard deviation weight between 0.709 and 0.973 gram. b. Determine the actual percentage of candies that weigh between 0.709 and 0.973 gram, inclusive. 2. An economist believes that the percentage of urban households with Internet access is greater
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