The lifespans of the light bulbs produced by a Filip Company are normally distributed with a mean of 1150 hours and a standard deviation of 175 hours. (Note: For z-scores, round off to two decimal places.)What is the probability that a randomly chosen light bulb will have a lifespan of less than 1250 hours? 82.38% 17.62% 71.57% 28.43% In a normal distribution, a score of 80 when standardize is equal to 1.84.What is the probability that a random score is at least 80?AP[x 2 80]=3.29%B P[x>80]=3.29%© P[x < 80]=96.71%D P[x<80]=96.71%D

As per our company guidelines we are supposed to answer only first question. Kindly repost other…

Answered: The lifespans of the light bulbs…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

The lifespans of the light bulbs produced by a Filip Company are normally distributed with a mean of 1150 hours and a standard deviation of 175 hours. (Note: For z-scores, round off to two decimal places.)

What is the probability that a randomly chosen light bulb will have a lifespan of less than 1250 hours?
82.38%

17.62%

71.57%

28.43%

In a normal distribution, a score of 80 when standardize is equal to 1.84.
What is the probability that a random score is at least 80?
A
P[x 2 80]=3.29%
B P[x>80]=3.29%
© P[x < 80]=96.71%
D P[x<80]=96.71%
D

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.

Expert Solution