Please help with d, e, & f. The world's smallest mammal is the Kitti's hog-nosed bat, with a mean weight of 1.5 grams and a standard deviation of 0.25 grams. Assuming that the weights are normally distributed, find the probablilty of randomly selecting a bat that weighs. a)between 1.0 gram and 2.0 grams b)more than 2.2 grams c)less than 1.6 grams d)out of a population of 2,500,000 bats, how many could you expect to weigh less than 1.5 grams e)What percentage of bats weigh between 1.25 grams and 1.75 grams? f)Out of 1,500 bats, how many could you expect to find who weigh more than 1.75 grams?

Please help with d, e, & f. The world's smallest mammal is the Kitti's hog-nosed bat, with a mean weight of 1.5 grams and a standard deviation of 0.25 grams. Assuming that the weights are normally distributed, find the probablilty of randomly selecting a bat that weighs. a)between 1.0 gram and 2.0 grams b)more than 2.2 grams c)less than 1.6 grams d)out of a population of 2,500,000 bats, how many could you expect to weigh less than 1.5 grams e)What percentage of bats weigh between 1.25 grams and 1.75 grams? f)Out of 1,500 bats, how many could you expect to find who weigh more than 1.75 grams?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

100%

a)between 1.0 gram and 2.0 grams

b)more than 2.2 grams

c)less than 1.6 grams

d)out of a population of 2,500,000 bats, how many could you expect to weigh less than 1.5 grams

e)What percentage of bats weigh between 1.25 grams and 1.75 grams?

f)Out of 1,500 bats, how many could you expect to find who weigh more than 1.75 grams?

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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