Question

Which of the statements below is true: a. Larger sample sizes produce greater sampling error b....

Which of the statements below is true:

a. Larger sample sizes produce greater sampling error

b. Larger sample sizes produce greater margin of error

c. Greater sampling error produces greater margin of error

d. Sampling error is not related to Margin of Error

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
Which of the following statements is not true for sampling distributions? a. A sampling distribution is...
Which of the following statements is not true for sampling distributions? a. A sampling distribution is necessary for making confidence statements about an unknown population parameter. b. A sampling distribution depends on the nature of the population being sampled. c. When sampling at random from a normal population, the sampling distribution for the sample average is a normal distribution. d. None of the above. AND TRUE or FALSE Assume a random sample of size n is from a normal population....
Suppose we are sampling from a normally distributed population, and we wish to use the t...
Suppose we are sampling from a normally distributed population, and we wish to use the t procedure to find a confidence interval for the population mean. Consider the following 3 statements: I. All else being equal, the greater the sample size, the smaller the margin of error. II. All else being equal, the greater the confidence level, the greater the margin of error. III. All else being equal, the greater the sample variance, the smaller the margin of error. Which...
Question 2: Which of the following statements about the sampling distribution of means is not true?...
Question 2: Which of the following statements about the sampling distribution of means is not true? A. A sample distribution's mean will always equal the parent population distribution's mean B. The sampling distribution of means approximates the normal curve. C. The mean of a sampling distribution of means is equal to the population mean. D. The standard deviation of a sampling distribution of means is smaller than the standard deviation of the population.
Which statements are true, relative to systematic error? a. Systematic error is measurement error that is...
Which statements are true, relative to systematic error? a. Systematic error is measurement error that is not random b. If the amount of the systematic error is known, true scores can be determined c. Systematic error may be decreased by proper instrument calibration d. Systematic error results in values that vary in one direction from the true scores e. Systematic error results from researcher fatigue or inattention f. None of the above
1.when the sample mean is close to the population mean , the sampling error is a....
1.when the sample mean is close to the population mean , the sampling error is a. larger b. smaller c. equals to 1 d. none of the above is correct 2. when the sample size increases, the dispersion among the sample means a. increases b. decreases c. remain the same d. depends upon the specific population being sampled
Which of the following is NOT true regarding the sampling distribution of the mean (Sample mean...
Which of the following is NOT true regarding the sampling distribution of the mean (Sample mean X-bar) for a large sample size (sample size is greater than 36)? A. It has the same mean as the population. B. It has a smaller standard deviation than the population standard deviation. C. Approximately it follows a normal distribution. D. It has the same distribution as the population.
Which of the following statements are TRUE? Note that there may be more than one correct...
Which of the following statements are TRUE? Note that there may be more than one correct answer; select all that are true. 1. a) All else being equal, the standard deviation of the sampling distribution of the sample mean will be smaller for n = 10 than for n = 40. b) The value of a statistic does not vary from sample to sample. c) Statistics have sampling distributions. d) The value of a parameter does not vary from sample...
State whether each of the following is True or False. a. A smaller sample could provide...
State whether each of the following is True or False. a. A smaller sample could provide less sampling error than a larger sample from a given population. b. The correct critical value a lower tail hypothesis test when sigma is unknown, the sample size = 15, and alpha = 0.05 is -1.645. c. A larger sample size can reduce the potential for extreme sampling error. d. It is impossible for the population mean to equal the mean of a sample...
Which of the following statements is true? The 95% confidence interval is wider than the 99%...
Which of the following statements is true? The 95% confidence interval is wider than the 99% confidence interval. The ONLY way to reduce the width of a confidence interval is to reduce the confidence level. The required sample size for a population mean is ONLY dependent on population variance. Given population variance and sampling error, higher confidence level results in larger sample size.
1) Determine whether the statements are true/ false. a. T      F       The probability of making a...
1) Determine whether the statements are true/ false. a. T      F       The probability of making a type II error is related to the power of a statistical test b. T     F         When I compare two estimates of the mean, the one with a smaller standard error has                         less precision c. T      F           If I do cluster sampling, the sample mean is always within the 95% confidence interval. d. T      F            If I do simple random sampling, the true...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT