Question

In: Math

3.27. Problem. (Section 11.5) The following are applications of Theorem 11.6 or the Central Limit Theorem....

3.27. Problem. (Section 11.5) The following are applications of Theorem 11.6 or the Central Limit Theorem.

(a) Determine the distribution of (1/5)X1 + (2 /5)X2 + (2/5)X3 if X1, X2 and X3 are independent normal distributions with µ = 2 and

σ = 3.

(b) The weight (kg) of a StarBrite watermelon harvested under certain environmental conditions is normally distributed with a mean of 8.0 with standard deviation of 1.9. Suppose 24 StarBrite watermelons grown in these conditions are harvested; compute the probability that the average weight of all 24 watermelons is less than 7.8 kg/fruit

(c) A study of elementary school students reports that the mean age at which children begin reading is 5.7 years with a standard deviation of 1.1 years. If 55 elementary school students are selected at random, approximate the probability that the average age at which these 55 children begin reading is at least 6.

(d) Let the random variable X be defined as the number of pips that show up when a fair, six-sided die is rolled. The mean and standard deviation of X can be shown to be µX = 3.5 and σX = 1.71, respectively. If 100 fair, six-sided dice are rolled, aproximate the probability that the mean of number of pips on the 100 dice is less than 3.25

Solutions

Expert Solution


Related Solutions

This week we’ve introduced the central limit theorem. According to the central limit theorem, for all...
This week we’ve introduced the central limit theorem. According to the central limit theorem, for all samples of the same size n with n>30, the sampling distribution of x can be approximated by a normal distribution. In your initial post use your own words to explain what this theorem means. Then provide a quick example to explain how this theorem might apply in real life. At last, please share with us your thoughts about why this theorem is important.
Instead of the control-volume formulation, such as the Reynolds transport theorem (Eqs. 11.5 and 11.6 of...
Instead of the control-volume formulation, such as the Reynolds transport theorem (Eqs. 11.5 and 11.6 of WMD), please consult fluid mechanics textbooks such as “Viscous Fluid Flow” by F.M. White (Chapter 1 & 2) and derive the Navior-Stokes equation for a Newtonian fluid flow starting from Newton’s second law: F= ma where F, m, a are the force, mass, and acceleration respectively, following a fluid element. In the derivation you should state (or argue) clearly the assumptions you made and...
In this problem, you are going to numerically verify that the Central Limit Theorem is valid...
In this problem, you are going to numerically verify that the Central Limit Theorem is valid even when sampling from non-normal distributions. Suppose that a component has a probability of failure described by a Weibull distribution. Let X be the random variable that denotes time until failure; its probability density is: f X(x; γ, k) = (k/γ)(x/γ)k−1 e −(x/γ)k , for x ≥ 0, and zero elsewhere. In this problem, assume k = 2, γ = 125 [hours]. a) Simulate...
It is said that the Central Limit Theorem is the most important theorem in all of...
It is said that the Central Limit Theorem is the most important theorem in all of Statistics. In your own words, describe why it is so important.
Use the central limit theorem to solve the problem. Quiz scores for Grammer 222 class are...
Use the central limit theorem to solve the problem. Quiz scores for Grammer 222 class are normally distributed with a mean of 60.5 and a standard deviation of 10.5. 1. If a student is chosen, find the probability that this student's score is at least 70.2? 2. If a sample of 22 students is randomly selected, find the probability that their mean score is at least 70.2?
This problem involves using R to examine the Central Limit Theorem more in detail. For all...
This problem involves using R to examine the Central Limit Theorem more in detail. For all answers in this problem, round to four decimal places. We will first generate 10 Poisson(λ=1) random variables and then calculate the sample mean of these 10 random variables. We will do this process 10,000 times to generate 10,000 simulated sample means. Run the following code and use the output to answer the following questions. set.seed(2020) nsims = 10000 # number of simulations means =...
Give an example of a problem when you may need to use the central limit theorem...
Give an example of a problem when you may need to use the central limit theorem to compute thr cjances of an event and why
For each of the following, explain if the Central Limit Theorem applies a) Estimating a right...
For each of the following, explain if the Central Limit Theorem applies a) Estimating a right skewed distribution like income b) Estimating the mean of a right skewed distribution like income with a large sample size c)Finding the exact probability of getting a proportion of successes less than a value d) Creating an approximate confidence interval for a proportion assuming normality.
Use the Central Limit Theorem to calculate the following probability. Assume that the distribution of the...
Use the Central Limit Theorem to calculate the following probability. Assume that the distribution of the population data is normally distributed. A person with “normal” blood pressure has a diastolic measurement of 75 mmHg, and a standard deviation of 4.5 mmHg. i) What is the probability that a person with “normal” blood pressure will get a diastolic result of over 80 mmHg, indicating the possibility of pre-hypertension? ii) If a patient takes their blood pressure every day for 10 days,...
For which of the following situations would the central limit theorem not imply that the sample...
For which of the following situations would the central limit theorem not imply that the sample distribution for ?¯x¯ is approximately Normal? a population is not Normal, and we use samples of size ?=50n=50 . a population is not Normal, and we use samples of size ?=6n=6 . a population is Normal, and we use samples of size ?=50n=50 . a population is Normal, and we use samples of size ?=6n=6 .
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT