Question

In the limit of a very large number of measurements of NO2concentration in the air, would...

In the limit of a very large number of measurements of NO2concentration in the air, would the probability distribution of the measured values approach a Gaussian distribution, as per the central limit theorem? Why or why not?

Homework Answers

Answer #1

Let us first understand what is central limit theorem

The central limit theorem tells us exactly what the shape of the distribution of means will be when we draw repeated samples from a given population. Specifically, as the sample sizes get larger, the distribution of sample statistics calculated from repeated sampling will approach normality.

As it is given that a very large number of measurements of NO2concentration in the air, so as per central limit theorem probability distribution of the measured values approach a Gaussian (i.e. Normal) distribution.

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
(Central Limit Theorem) An insurance company serves 10 large customers. The insurance claim placed by each...
(Central Limit Theorem) An insurance company serves 10 large customers. The insurance claim placed by each customer in a year is uniformly distributed between 0 and 100. Assume that the insurance claims from different customers are independent. Use the central limit theorem to approximately compute the probability that the total insurance claim placed by all customers in a year exceeds 625. Let Φ(x) denote the cumulative distribution function of a standard normal distribution, i.e. a normal distribution with mean 0...
Q. A scientist plans to perform a series of measurements to find the diameter of a...
Q. A scientist plans to perform a series of measurements to find the diameter of a particle in nanometer (nm). He believes that the values obtained from the measurements are independent and identically distributed random variables having a common mean ? (the actual diameter) and a common variance of 4 nm. Please estimate the number of measurements he needs to perform so that the average value is accurate to within 0.5 nm, with probability at least 0.95, based on Central...
True or False. The central limit theorem states that as the number of sample size increases,...
True or False. The central limit theorem states that as the number of sample size increases, the distribution of the sample means approximates to a normal distribution.
Workers at a large toxic cleanup project are concerned that their white blood cell counts may...
Workers at a large toxic cleanup project are concerned that their white blood cell counts may have been reduced. Let x be a random variable that represents white blood cell count per cubic millimeter of whole blood in a healthy adult. Then μ = 7500 and σ ≈ 1750.† A random sample of n = 50 workers from the toxic cleanup site were given a blood test that showed x = 6820. What is the probability that, for healthy adults,...
The number of errors in each of 300 files has a Poisson distribution with 1.4 errors...
The number of errors in each of 300 files has a Poisson distribution with 1.4 errors per file on average. Assume the errors in different files are independent. Use the Central Limit Theorem to approximate the probability that the total number of errors exceeds 400.
What is the Central Limit Theorem? Try to state it in your own words. States that...
What is the Central Limit Theorem? Try to state it in your own words. States that the sample means of large sized samples will be normally distrution Consider the random variable x, where x is the number of dots after rolling a die. Make a sketch of the probability distribution of this variable. What is the expected value of x? Now consider the random variable that is the average number of dots after four rolls. Is this variable normally distributed?...
The probability distribution for the number of bacterial colonies on a square foot of kitchen can...
The probability distribution for the number of bacterial colonies on a square foot of kitchen can be modeled by a Binomial Distribution. True False The age distribution of residents in retirement communities is right skewed. The average age of residents in one very large residential retirement community is 79 years with standard deviation 5.8 years. A simple random sample of 100 residents is to be selected, and the sample mean age x̅ of these residents will be computed. We know...
Part I: Chi-squared Distribution & the Central Limit Theorem The idea here is that you will...
Part I: Chi-squared Distribution & the Central Limit Theorem The idea here is that you will explore a type of rv on your own (we only briefly mentioned this one in class) a) Imagine sampling 50 values from χ2(8) a chi-squared distribution with 8 degrees of freedom. According to the CLT (central limit theorem), what should be the expected value (mean) of this sample? You should not need to do any coding to answer this. This is worth 1/2 EC...
According to a recent poll, 64% of adults who use the Internet have paid to download...
According to a recent poll, 64% of adults who use the Internet have paid to download music. In a random sample of size 675, adults who use the Internet, let [^(p)] represent the sample proportion who have paid to download music. Find the mean of the sampling distribution of [^(p)]. Answer to 2 decimal places. Tries 0/5 Find the standard deviation of the sampling distribution of [^(p)]. Answer to 4 decimal places. Tries 0/5 What does the Central Limit Theorem...
Apply the Central Limit Theorem for Sample Means A population of values has a normal distribution...
Apply the Central Limit Theorem for Sample Means A population of values has a normal distribution with μ = 220 and σ = 33.8. You intend to draw a random sample of size n = 35. Find the probability that a single randomly selected value from the population is less than 224.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT