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…

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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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 (¤) of the 36 candies is more than or equal to 0.9 g? 0.86 0.9 0.34 0.47