Question

True or False? 1. σM  equals the standard deviation divided by the square root of the sample...

True or False?

1. σM  equals the standard deviation divided by the square root of the sample size

2. Larger samples more accurately reflect the population than smaller samples

3. If n = 1, the standard error will equal the standard deviation of the population

4. If a population is skewed, the distribution of sample means will never be normal

5. The mean for the distribution of samples means is equal to the mean of the population

6. As the sample size increases, the value of M decreases

7. The mean is a biased statistic

8. As sample size increases, the standard error increases

9. The distribution of sample means is normal if n is at least 30

10. If the samples are selected from a normal population, the distribution of sample means will also be normal.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A population has a mean mu equals 87 and a standard deviation sigma equals 21. Find...
A population has a mean mu equals 87 and a standard deviation sigma equals 21. Find the mean and standard deviation of a sampling distribution of sample means with sample size n equals 259.
Which of the following is a characteristic of the normal distribution? A. The standard deviation equals...
Which of the following is a characteristic of the normal distribution? A. The standard deviation equals to 0. B. The mean equals to 1 C. The curve Is symmetrical D. The bell curve is skewed The normal distribution curve has the property of being asymptotic; this means that . A. The area under the curve is not skewed to the left B. The curve is symmetrical C. The area under the curve is not skewed to the right D. The...
Question 5 ` If the standard deviation of the population is 15 and the sample size...
Question 5 ` If the standard deviation of the population is 15 and the sample size is 10,000, the standard error will be: 0 .15 .22 .43 1 points Question 6 If you draw a sample of 500, you can be confident that the sampling distribution of means will: Have a mean of 500. Will have a standard error of 50. Will be heavily skewed. Will be a standard normal curve.
Indicate whether the following statement is true or false. 1. When estimating a confidence interval for...
Indicate whether the following statement is true or false. 1. When estimating a confidence interval for the difference between the means of two independent populations, the pooled variance is the average of two sample variances, if the two sample sizes are equal. 2. Both the t-distribution and standard normal distribution have the same mean, but the t-distribution has a smaller standard deviation than the standard normal distribution. 3. The standard deviation of the distribution of   (i.e. standard error of the mean)...
1.What is the best way to describe the expected value of M?​ ​a.The sample standard deviation...
1.What is the best way to describe the expected value of M?​ ​a.The sample standard deviation ​b.The standard deviation for the distribution of sample means ​c.A sample mean ​d.The mean of the distribution of sample means 2.Which combination of factors is more likely to produce small standard error? a.σ = 5; n = 25 b.σ = 5; n = 100 c.σ = 10; n = 25 d.σ = 10; n = 100 3.The standard error is written out with which...
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct...
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct answer below. A. The distribution of the sample means x overbar ​will, as the sample size​ increases, approach a normal distribution. B. The mean of all sample means is the population mean mu. C. The distribution of the sample data will approach a normal distribution as the sample size increases. D. The standard deviation of all sample means is the population standard deviation divided...
IQ scores are normally distributed with a mean of 105 and a standard deviation of 15....
IQ scores are normally distributed with a mean of 105 and a standard deviation of 15. Assume that many samples of size n are taken from a large population of people and the mean IQ score is computed for each sample a. If the sample size is n equals= 64, find the mean and standard deviation of the distribution of sample means. The mean of the distribution of sample means is: 105 The standard deviation of the distribution of sample...
A population has a mean mu equals=75 and a standard deviation sigmaσequals=8. Find the mean and...
A population has a mean mu equals=75 and a standard deviation sigmaσequals=8. Find the mean and standard deviation of a sampling distribution ​( muμx​ &​) of sample means with sample size n=64
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...
Random samples of size n were selected from a normal population with the means and variances...
Random samples of size n were selected from a normal population with the means and variances given here. n = 25, μ = 12, σ2 = 9 Describe the shape of the sampling distribution of the sample mean. a. The distribution is normal b. The distribution is skewed left c. The distribution is bimodal d. The distribution is uniform e. The distribution is skewed right Find the mean and the standard error of the sampling distribution of the sample mean....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT