Question

Which of the following is the inherent reason why sampling errors occur? A. because samples represent...

Which of the following is the inherent reason why sampling errors occur?

A. because samples represent the whole population

B. because samples are only a subset of the population

C. because samples never provide enough data to estimate standard deviation

D. because the means cannot be accurately estimated using samples

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Ans:

Option B is correct.

Because samples are only a subset of the population.

Sampling error occurs when sample does not represent the population and there is difference in sample statistic and true value of the parameter.

Add a comment
Know the answer?
Add Answer to:
Which of the following is the inherent reason why sampling errors occur? A. because samples represent...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • R problem 1: The reason that the t distribution is important is that the sampling distribution...

    R problem 1: The reason that the t distribution is important is that the sampling distribution of the standardized sample mean is different depending on whether we use the true population standard deviation or one estimated from sample data. This problem addresses this issue. 1. Generate 10,000 samples of size n- 4 from a normal distribution with mean 100 and standard deviation σ = 12, Find the 10,000 sample means and find the 10,000 sample standard deviations. What are the...

  • Would you agree to the statement on random sampling methods. Please explain why. In probability samples...

    Would you agree to the statement on random sampling methods. Please explain why. In probability samples “each population element has a known (non-zero) chance of being chosen for the sample.” (StatTrek 2020). Some examples of probability samples are, simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling. Simple random sampling is the population and sample consists of “N” objects, and an example is when people play the lottery. Stratified sampling is based on some type of...

  • Select all of the statements that are true for representative samples.

    Select all of the statements that are true for representative samples. Simple random sampling is used to collect the sample. The size of the sample is greater than 30 to ensure greater accuracy in the results of the study. Every member of the population has an equal probability of being selected to participate in the study. The relevant characteristics of the population are included accurately in the members of the sample. The intended results of the study are unbiased and can be generalized to the...

  • The following data represent the number of days absent per year in a population of 6...

    The following data represent the number of days absent per year in a population of 6 employees of a small company:   1   3   6   7   9   10 Assuming that you sample without replacement, select all possible samples of size n = 3 and construct the sampling distribution of the sample mean and the sample median. Compute the mean of all sample means and all sample medians. Are they equal? What is this property? Which estimator, the sample mean or the...

  • Given two independent random samples with the following results: ni = 15 n2 = 13 Xi...

    Given two independent random samples with the following results: ni = 15 n2 = 13 Xi = 153 X2 = 114 $i = 19 S2 = 21 Use this data to find the 95 % confidence interval for the true difference between the population means. Assume that the population variances are equal and that the two populations are normally distributed. Copy Data Step 1 of 3: Find the critical value that should be used in constructing the confidence interval. Round...

  • 4 The Sampling Distributions of Means and Proportions The Central Limit Theorem] Suggested Readin...

    4 The Sampling Distributions of Means and Proportions The Central Limit Theorem] Suggested Reading #6 (The Central Limit Theorem) 41 Ponder this and calculate: Consider all possible random samples of 5 in a class of 28 many different samples are there? Show your work (not as tedious as it appears) Note: Please continue to use the algebraic notation, as discussed in class, to obtain the answer e.9. Px<54) or P (x> 112)-1-P(x< 112)-1-Pizs ete. 4.2 A nurse supervisor has found...

  • The following data are from matched samples taken from two populations Population Element 10 15 14...

    The following data are from matched samples taken from two populations Population Element 10 15 14 15 4 13 a. Compute the difference value for each element (difference between element of population 1 and population 2 and enter negative values as negative numbers) Element Difference Value b. Compute d (to 3 decimals) c. Compute the standard deviation sd (to 3 decimals) d. What is the point estimate of the difference between the two population means (to 3 decimals)? e. Provide...

  • Problem 4. Using samples of 200 credit card statements, an auditor found the following: Number with...

    Problem 4. Using samples of 200 credit card statements, an auditor found the following: Number with errors 4 25 9 a. Determine the fraction defective in each sample. b. If the true fraction defective for this process is unknown, what is your estimate of it? e. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? d. What control limits would give an alpha risk of 03 for...

  • 1. What is a sampling distribution? A) A distribution of respondent frequencies for all variables in...

    1. What is a sampling distribution? A) A distribution of respondent frequencies for all variables in a survey. B) A visual method for displaying statistics. C) A theoretical distribution of all possible sample values for the statistic in which we are interested. D) None of the above. 2. True or false, the Central Limit Theorem for sample means says that if larger and larger samples are drawn from the population, the distribution of the sample means will approximate a normal...

  • For the independent-measures t test, which of the following describes the estimated standard error of M1 - M2 (whose sy...

    For the independent-measures t test, which of the following describes the estimated standard error of M1 - M2 (whose symbol is )? O The variance across all the data values when both samples are pooled together O A weighted average of the two sample variances (weighted by the sample sizes) O The difference between the standard deviations of the two samples O An estimate of the standard distance between the difference in sample means (M, - M2) and the difference...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT