Question

AS THE SAMPLE SIZE N GETS LARGER/THE STUDENT'S T-DISTRIBUTION GETS FAR A WAY TO THE STANDARD...

AS THE SAMPLE SIZE N GETS LARGER/THE STUDENT'S T-DISTRIBUTION GETS FAR A WAY TO THE STANDARD NORMAL DISTRIBUTION

Homework Answers

Answer #1

Solution: The given statement "As the sample size n gets larger, the Student's T-distribution gets far away to the standard normal distribution" is false.

Explanation: The shape of the T-distribution is symmetric like normal distribution but the tails of the t-distribution are heavier than the normal. As the sample size gets larger, the tails of the t-distribution get flattened and the shape of the t-distribution becomes identical with the shape of normal distribution. Therefore, as the sample size n gets larger, the student's T-distribution gets closer to the standard normal distribution. Hence the given statement is "false".

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
In the sampling distribution of the sample means, the standard error of the mean will vary...
In the sampling distribution of the sample means, the standard error of the mean will vary according to the size of the sample. As the sample size, n, gets larger, the dispersion of the sampling distribution of the means gets larger.
When σ is unknown and the sample is of size n ≥ 30, there are two...
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
When σ is unknown and the sample is of size n ≥ 30, there are two...
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
When σ is unknown and the sample is of size n ≥ 30, there are two...
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
When σ is unknown and the sample is of size n ≥ 30, there are two...
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
Assume you begin with some distribution of data. Now, take many, many samples of size n...
Assume you begin with some distribution of data. Now, take many, many samples of size n and create a distribution of sample means from these samples. 1. What will happen to the mean of the new distribution as n gets larger and larger? 2. What will happen to the standard deviation of the new distribution as n gets larger and larger?
Consider a sampling distribution with p equals 0.13p=0.13 and samples of size n each. Using the...
Consider a sampling distribution with p equals 0.13p=0.13 and samples of size n each. Using the appropriate​ formulas, find the mean and the standard deviation of the sampling distribution of the sample proportion. a. For a random sample of size n=5000. The standard deviation is ____ (Round to four decimal places as needed) b. For a random sample of size n=1000. The standard deviation is ____ (Round to four decimal places as needed) c. For a random sample of size...
Generating a sample size of 100 from Student's t distribution with v degrees of freedom. Question:...
Generating a sample size of 100 from Student's t distribution with v degrees of freedom. Question: For v = 2, 10, 25, which method works better, Metropolis Algorithm or Accept/Reject Algorithm?
When ? is unknown and the sample is of size n?30, there are two methods for...
When ? is unknown and the sample is of size n?30, there are two methods for computing confidence intervals for ?. Method 1: Use the Student's t distribution with d.f.= n?1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ? 30, use the sample standard deviation sas an estimate for ?, and then use the standard normal distribution. This method is...
1.The Nearly Normal condition is met in one of either of two ways: the sample size...
1.The Nearly Normal condition is met in one of either of two ways: the sample size is large or... a.the population (and sample) distribution are already normal distribtuions. b.we know the standard deviation of the population. c.if the units we are measuring can only be positive (e.g. weights of chickens). d.the two samples are independent. 2.Assume there exists a sample distribution that is normally distributed. For the sampling distribution to be approximately normal the central limit theorem requires the sample...