Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Does the sample size have an effect on the mean of all possible sample mean? Explain your answer.

Short Answer

Expert verified

No, sample size does not have an effect on the mean of all possible sample mean .

Step by step solution

01

Given Information 

We have to explain whether the sample size have an effect on the mean of all possible sample mean .

02

Explanation

Because the mean of all conceivable sample means is always equal to the population mean, regardless of sample size.

Assume we have a population of size4and the population observations are x1,x2,x3,x4.

Consider all possible size 2 samples now.

X1,X2X1+X22

X1,X3X1+X32

X1,X3X1+X32

X1,X4X1+X42

X2,X3X2+X32

X2,X4X2+X42

X3,X4X3+X42

The mean of all possible sample is

=x1+x22+x1+x32+x1+x42+x2+x32+x2+x42+x3+x426

=3X1+X2+X3+X42×6

=X1+X2+X3+X44

=μ=populationmean

For sample size of 3

sample mean:

X1,X2,X3X1+X2+X33

X1,X3,X4X1+X3+X43

X2,X3,X4X2+X3+X43

X1,X2,X4X1+X2+X43

The mean of all possible sample means of size 3


localid="1650494721215" =x1+x2+x33+x1+x3+x43+x2+x3+x43+x1+x2+x434

=x1+x2+x3+x1+x3+x4+x2+x3+x4+x1+x2+x434

=3X1+X2+X3+X43×4

=X1+X2+X3+X44

=μpopulationmean

For the sample size 4

The only possible sample= population mean

therefore Sample mean = population mean

i.e., mean of sample mean = population mean

So, we observe that for every sample size mean of the sample mean is equal to the population mean and it does not depend on the sample size.

as the result, No, sample size does not have an effect on the mean of all possible sample mean .

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Worker Fatigue. A study by M. Chen et al. titled "Heat Stress Evaluation and Worker Fatigue in a Steel Plant (American Industrial Hygiene Association, Vol. 64. Pp. 352-359) assessed fatigue in steelplant workers due to heat stress. If the mean post-work heart rate for casting workers equals the normal resting heart rate of 72beats per minute (bpm), find the probability that a random sample of 29 casting workers will have a mean post-work heart rate exceeding 78.3bpm Assume that the population standard deviation of post-work heart rates for casting workers is 11.2 bpm. State any assumptions that you are making in solving this problem.

Young Adults at Risk. Research by R. Pyhala et al. shows that young adults who were born prematurely with very low birth weights (below 1500 grams) have higher blood pressure than those born at term. The study can be found in the article. "Blood Pressure Responses to Physiological Stress in Young Adults with Very Low Birth Weight" (Pediatrics, Vol. 123, No, 2, pp. 731-734 ). The researchers found that systolic blood pressures, of young adults who were born prematurely with very low birth weights have mean 120.7 mm Hg and standard deviation 13.8 mm Hg.
a. Identify the population and variable.
b. For samples of 30 young adults who were born prematurely with very low birth weights, find the mean and standard deviation of all possible sample mean systolic blood pressures. Interpret your results in words.
c. Repeat part (b) for samples of size 90.

Refer to Fig. 7.6on page 306 .

a. Why are the four graphs in Fig. 7.6(a) all centered at the same place?

b. Why does the spread of the graphs diminish with increasing sample size? How does this result affect the sampling error when you estimate a population mean, μby a sample mean, x~ ?

c. Why are the graphs in Fig. 7.6(a) bell shaped?

d. Why do the graphs in Figs. 7.6(b)and (c) become bell shaped as the sample size increases?

Poverty and Dietary Calcium. Calcium is the most abundant mineral in the human body and has several important functions. Recommendations for calcium are provided in Dietary Reference Intakes, developed by the Institute of Medicine of the National Academy of Sciences, The recommended adequate intake (RAI) of calcium for adults (ages 19-50) is 1000milligrams (mg) per day. If adults with incomes below the poverty level have a mean calcium intake equal to the RAI. what percentage of all samples of 18 such adults have mean calcium intakes of at most 947,4mg? Assume that σ=188mgState any assumptions that you are making in solving this problem.

Refer to Exercise 7.7 on page 295.

a. Use your answers from Exercise 7.7(b) to determine the mean, μs, of the variable x¯for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μs, of the variable x¯, using only your answer from Exercise 7.7(a).

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free