Question

A recent study of the lifetimes of cell phones found the average is 24.3 months. The...

A recent study of the lifetimes of cell phones found the average is 24.3 months. The standard deviation is 2.6 months. If a company provides its 34 employees with a cell phone, find the probability that the mean lifetime of these phones will be less than 23.8 months. Assume cell phone life is a normally distributed variable.
P(x < 23.8) =

Homework Answers

Answer #1

Solution :

Let X be a random variable which represents the lifetime of cell phones.

Given that,

Mean (μ) = 24.3 months

Standard deviation (σ) = 2.6 months

Sample size (n) = 34

We have to obtain P(x̄ < 23.8).

(Where, x̄ is mean lifetime of 34 cellphones).

We know that if X ~ N(μ, σ²) then  x̄ ~ N(μ, σ²/n)

And if x̄ ~ N(μ, σ²/n) then,

Using "pnorm" function of R we get, P(Z < -1.1213) = 0.1311

Hence, the probability that the mean lifetime of 34 phones will be less than 23.8 months is 0.1311.

Please rate the answer. Thank you.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A recent study of the lifetimes of smart phones found the average is 24.3 months. Assume...
A recent study of the lifetimes of smart phones found the average is 24.3 months. Assume the population standard deviation is 4.6 months. A simple random sample of 35 smartphones was selected a) Is it necessary to assume that the lifetimes of smartphones follow a Normal distribution? Briefly explain. b) What is the probability that the sample mean lifetime would be less than 23 months? c) What is the probability that the sample mean lifetime would be more than 22...
A recent study of the lifetimes T of cellphones found that the mean is 30 months...
A recent study of the lifetimes T of cellphones found that the mean is 30 months with a standard deviation of 6 months. A sample of 36 cellphones is randomly selected. If the sample average lifetime is T ̄, find the followings: (a) E(T ̄) = V ar(T ̄) = (b) Distribution of T ̄ ∼ What is the probability that the average lifetime is (c) between 25 and 29 months? (d) more than 36 months?
A researcher knew that before cell phones, a person made on average 2.8 calls per day....
A researcher knew that before cell phones, a person made on average 2.8 calls per day. He believes that the number of calls made per day today is higher. He selects a random sample of 33 individuals who use a cell phone and asks them to keep track of the number of calls that they made on a certain day. The mean was 3.1. At a=0.10, is there enough evidence to support the researcher's claim? The standard deviation for the...
A Manufacturing Company has completed a study of its Cuddly Candy and found that their lifetimes...
A Manufacturing Company has completed a study of its Cuddly Candy and found that their lifetimes are normally distributed with a mean of 40 years with a standard deviation of 7 years. Round answers to the nearest tenth of a year. What is the minimum lifetime of Cuddly Candy that are in the top 11% of lifetimes?   If the Company wants to offer a lifetime warranty on its candy, what is the maximum lifetime that the company should warranty so...
#5 A study of adult cell phone owners found that their annual income was normally distributed...
#5 A study of adult cell phone owners found that their annual income was normally distributed with a mean of $41,200 and a standard deviation of $18500. If sellers of cell phones wish to target the adult owners of cell phones whose incomes are in the top 83%. What is the minimum income level for the top 83% of the group? #4 The heights of high-school students are normally distributed with a mean of μ = 62.5 inches and standard...
In a recent study, Lepp, Barkley, and Karpinski (2014) reported that undergraduate students spend an average...
In a recent study, Lepp, Barkley, and Karpinski (2014) reported that undergraduate students spend an average of 278.67 (standard error of the mean = 9.79) minutes per day using their cell phones. You may wonder whether cell phone usage at your university differs significantly from Lepp, Barkley, and Karpinski’s (2014) findings. Suppose a recent survey of students at your university found that students spend 255 minutes per day using their cell phones. Note that standard error of the mean and...
A recent survey found that 72% of all adults over 50 own cell phones. You randomly...
A recent survey found that 72% of all adults over 50 own cell phones. You randomly select 43 adults over 50, and ask if he or she owns a cell phone. Find the mean number of cell phones owned by a sample of 43 adults over 50 years old. Round to two decimal places
the amount of money that students spend on their cell phones per week in normally distributed...
the amount of money that students spend on their cell phones per week in normally distributed with a mean of 52.00 and standard deviation of 6.00. 1.2.1 What is the probability that a student studies for more that 60.00 per week? 1.2.2 find the probability that the mean amount of money on cell phones for three randomly selected students is less than 60.66 per week.
In a study of 412 comma 126 cell phone​ users, it was found that 162 developed...
In a study of 412 comma 126 cell phone​ users, it was found that 162 developed cancer of the brain or nervous system. Assuming that cell phones have no​ effect, there is a 0.000474 probability of a person developing cancer of the brain or nervous system. We therefore expect about 196 cases of such cancer in a group of 412 comma 126 people. Estimate the probability of 162 or fewer cases of such cancer in a group of 412 comma...
In a study of 321 comma 324 cell phone users, it was found that 106 developed...
In a study of 321 comma 324 cell phone users, it was found that 106 developed cancer of the brain or nervous system. Assuming that cell phones have no effect, there is a 0.000371 probability of a person developing cancer of the brain or nervous system. We therefore expect about 120 cases of such cancer in a group of 321 comma 324 people. Estimate the probability of 106 or fewer cases of such cancer in a group of 321 comma...