The weights of a certain brand of candies are normally distributed with a mean weight of 0.86 g and a standard deviation of 0.6 g. A sample of 36 candies was selected. What is the approximate probability that the mean weight (x¯) of the 36 candies is more than or equal to 0.9 g? Question 9 (1 point)The weights of a certain brand of candies are normally distributed with a meanweight of 0.86 g and a standard deviation of 0.6 g. A sample of 36 candies wasselected. What is the approximate probability that the mean weight (X) of the 36candies is more than or equal to 0.9 g?0.860.90.340.47

The random variable X follows normal distribution. The population mean is 0.86. The population…

Answered: The weights of a certain brand of…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.CR: Chapter 13 Review

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The weights of a certain brand of candies are normally distributed with a mean weight of 0.86 g and a standard deviation of 0.6 g. A sample of 36 candies was selected. What is the approximate probability that the mean weight (x¯) of the 36 candies is more than or equal to 0.9 g?

Transcribed Image Text:Question 9 (1 point) The weights of a certain brand of candies are normally distributed with a mean weight of 0.86 g and a standard deviation of 0.6 g. A sample of 36 candies was selected. What is the approximate probability that the mean weight (X) of the 36 candies is more than or equal to 0.9 g? 0.86 0.9 0.34 0.47

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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