Weights of female cats of a certain breed are normally distributed with mean 4.1 kg and standard deviation 0.6 kg.What proportion of female cats have weights between 3.7 and 4.4 kg? A certain female cat has a weight that is 0.5 standard deviations above the mean. What proportion of female cats are heavier than this one? How heavy is a female cat whose weight is on the 80th percentile? A female cat is chosen at random. What is the probability that she weighs more than 4.5 kg? Six female cats are chosen at random. What is the probability that exactly one of them weighs more than 4.5 kg?

Answered: Weights of female cats of a certain…

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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Weights of female cats of a certain breed are normally distributed with mean 4.1 kg and standard deviation 0.6 kg.

1. What proportion of female cats have weights between 3.7 and 4.4 kg?  
2. A certain female cat has a weight that is 0.5 standard deviations above the mean. What proportion of female cats are heavier than this one?  
3. How heavy is a female cat whose weight is on the 80th percentile?  
4. A female cat is chosen at random. What is the probability that she weighs more than 4.5 kg?  
5. Six female cats are chosen at random. What is the  probability that exactly one of them weighs more than 4.5 kg?

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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