9 (b,c). The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag.The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams4.764.724.744.554.914.744.784.714.804.784.784.754.794.824.914.834.684.744.704.804.704.764.704.834.934.744.844.824.764.774.724.784.834.754.744.684.844.714.714.764.664.784.734.744.924.774.804.794.864.644.784.704.754.784.764.834.664.774.834.784.694.814.684.784.884.724.854.854.814.744.804.824.844.704.854.704.814.724.794.734.61 Standard Deviation & the Empirical Rule: Variation is a big factor in the analysis of most any data set and it will be very important to have a way of measuring it. Standard Deviation is one such measure. Find the Standard Deviation of the data. You can use the stdev or stdev.s functions in Excel. A bell-shaped distribution with a single peak is called a normal distribution. There is a rule for normal distributions that can help you have some feeling for what the standard deviation is telling you. It's called the Empirical Rule and is stated below: For any data set having a Normal distribution, the following are true:- Approximately 68% of the data values will be within one standard deviation of the mean.- Approximately 95% of the data values will be within two standard deviation of the mean. - Approximately 99.7% of the data values will be within three standard deviation of the mean. Use the mean (to the nearest thousandth), the standard deviation (to the nearest thousandth), and the Empirical Rule to find answers to the following: b) How close is the Empirical Rule in predicting the percentages that you calculated above? c) If your calculated percentages did not line up with the percentages claimed by the Empirical Rule, speculate on some possible reasons for this.

1. Let X be the number of kisses. X¯=4.768=AVERAGE(A1:A81), Excel functions=0.069=STDEV.S(A1:A81),…

Answered: The following data was collected from 1…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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9 (b,c). The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag.

The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag.

Hershey Kiss Weights in Grams
4.76	4.72	4.74	4.55	4.91	4.74	4.78	4.71	4.80
4.78	4.78	4.75	4.79	4.82	4.91	4.83	4.68	4.74
4.70	4.80	4.70	4.76	4.70	4.83	4.93	4.74	4.84
4.82	4.76	4.77	4.72	4.78	4.83	4.75	4.74	4.68
4.84	4.71	4.71	4.76	4.66	4.78	4.73	4.74	4.92
4.77	4.80	4.79	4.86	4.64	4.78	4.70	4.75	4.78
4.76	4.83	4.66	4.77	4.83	4.78	4.69	4.81	4.68
4.78	4.88	4.72	4.85	4.85	4.81	4.74	4.80	4.82
4.84	4.70	4.85	4.70	4.81	4.72	4.79	4.73	4.61

Standard Deviation & the Empirical Rule: Variation is a big factor in the analysis of most any data set and it will be very important to have a way of measuring it. Standard Deviation is one such measure. Find the Standard Deviation of the data. You can use the stdev or stdev.s functions in Excel. A bell-shaped distribution with a single peak is called a normal distribution. There is a rule for normal distributions that can help you have some feeling for what the standard deviation is telling you. It's called the Empirical Rule and is stated below:

For any data set having a Normal distribution, the following are true:
- Approximately 68% of the data values will be within one standard deviation of the mean.
- Approximately 95% of the data values will be within two standard deviation of the mean.
- Approximately 99.7% of the data values will be within three standard deviation of the mean.

Use the mean (to the nearest thousandth), the standard deviation (to the nearest thousandth), and the Empirical Rule to find answers to the following:

b) How close is the Empirical Rule in predicting the percentages that you calculated above?
c) If your calculated percentages did not line up with the percentages claimed by the Empirical Rule, speculate on some possible reasons for this.