Question

f the distribution of the population is not severely nonnormal, at what minimum sample size with...

  1. f the distribution of the population is not severely nonnormal, at what minimum sample size with the central limit theorem apply?

    60

    100

    90

    30

Question 3

  1. What are two fundamental point estimates that we use?

    Sample Mean, correlate

    Sample Variance, regressor

    Sample Mean, regressor

    Sample Mean, sample variance

Homework Answers

Answer #1

1.

If the population is non distributed then the sample size at least 30 is sufficient for apply CLT because it is approximately shows the data or distribution is normally distributed.

Therefore 4th option is correct.

2.

In the fundamental point statistics, the 5 basic concepts are mostly used, they are population, sample, static, parameter and variable. i.e. Sample mean and sample variance are two estimates in fundamental statistics.
And regressor and correlate we use for showing relation so they are not fundamental estimates.
Therefore 4th option is correct.

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
Suppose we repeatedly take samples of size 100 from the population distribution, calculate a sample mean...
Suppose we repeatedly take samples of size 100 from the population distribution, calculate a sample mean each time, and plot those sample means in a histogram. The histogram we created would be an example of a (variable, population, distribution, sampling distribution???) . According to the central limit theorem, the histogram would have a shape that is approximately (left skewed, right skewed or normal???) , with mean  (give a number???) and standard deviation  (give a number??). The standard deviation of the statistic under...
Question Central Limit Theorem a)According to the Central Limit Theorem, what are the mean and standard...
Question Central Limit Theorem a)According to the Central Limit Theorem, what are the mean and standard deviation of the sampling distribution of sample means? b)A population has a mean ?=1800 and a standard deviation ?=40. Find the mean and standard deviation of the sampling distribution of sample means when the sample size n=100.
Suppose a random sample of size n was drawn from a distribution with pdf f(y,a)=(1/a )...
Suppose a random sample of size n was drawn from a distribution with pdf f(y,a)=(1/a ) exp(-y/a) where y is between y>0 and a>0. Write down the central limit theorem for the standardized sample mean in terms of a and find a formula for a 95% confidence interval ..(hint: this is the exponential distribution with mean a)
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.
What is the minimum sample size needed to estimate a mean dollar amount of some population...
What is the minimum sample size needed to estimate a mean dollar amount of some population to within $0.50. Assume we want 90% confidence and the population standard deviation is $3?
The Central Limit Theorem says that when sample size n is taken from any population with...
The Central Limit Theorem says that when sample size n is taken from any population with mean μ and standard deviation σ when n is large, which of the following statements are true? The distribution of the sample mean is approximately Normal. The standard deviation is equal to that of the population. The distribution of the population is exactly Normal. The distribution is biased.
that what also confuses me because there is no sample size given Based on the central...
that what also confuses me because there is no sample size given Based on the central limit theorem: if the population mean = 2.0 kg and population standard deviation = 4 kg then we can say that the sample standard deviation equals
The population has mean μ=29 and standard deviation σ=9. This distribution is shown with the black...
The population has mean μ=29 and standard deviation σ=9. This distribution is shown with the black dotted line. We are asked for the mean and standard deviation of the sampling distribution for a sample of size 34. The Central Limit Theorem states that the sample mean of a sample of size n is normally distributed with mean μx¯=μ and σx¯=σn√. In our case, we have μ=29, σ=9, and n=34. So, μx¯=29 and σx¯=934‾‾‾√=1.5 This distribution is shown with the red...
Using the central limit theorem, what is the distribution of sample means when the population distribution...
Using the central limit theorem, what is the distribution of sample means when the population distribution is the following? Part (a) rectangular Part (b) normally distributed Part (c) positively skewed Part (d) nonmodal Part (e) multimodal Part (f) negatively skewed
According to the central limit theorem, if a sample of size 81 is drawn from a...
According to the central limit theorem, if a sample of size 81 is drawn from a population with a variance of 16, the standard deviation of the distribution of the sample means would equal _______. .98 .44 .68 .87 .75
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT