Question

7. The histogram below represents the population distribution. Suppose a sampling distribution of is constructed from samplesThe histogram below represents the population distribution. Suppose a sampling distribution of x is constructed from samples of size 120 from this population. Which one of the following figures best approximates the sampling distribution of x?

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

According to the central limit theorem

the mean of sample will be equal to population = 6.1

Hence graph will be discarded

Now, the distribution will be normal as n > 30

Hence, Figure A is correct

Add a comment
Know the answer?
Add Answer to:
The histogram below represents the population distribution. Suppose a sampling distribution of x is constructed from...
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
  • Pictured below an scrambled order) are three histograms: One of them represents a population distribution The...

    Pictured below an scrambled order) are three histograms: One of them represents a population distribution The other two are sampling distributions of x-bar, one for sample size n-5, and one for sample size - 30 Histogram 1: 15 18 Histogram 2: 700 600 500 Frequency 400 300 200 100 0 15 18 21 24 200 150 100 50 0 12 15 18 21 24 Which of the following 6 possible orderings of the three histograms represents the sequence: • Population...

  • Pictured below (in scrambled order) are three histograms: One of them represents a populatio distribution. The...

    Pictured below (in scrambled order) are three histograms: One of them represents a populatio distribution. The other two are sampling distributions of x-bar; one for sample size n = 5, and for sample size n = 30. Histogram 1: 40 300 Frequency 200 100 0 0 3 6 9 12 15 18 21 24 Histogram 2: 800 700 500 Frequency 2 100 0 12 15 18 21 24 Histogram 3: 350 300 250 200 kaly 150 100 50 0 12...

  • Pictured below (in scrambled order) are three histograms: One of them represents a population distribution. The...

    Pictured below (in scrambled order) are three histograms: One of them represents a population distribution. The other two are sampling distributions of x-bar; one for sample size n = 5, and one for sample size n = 30. Histogram 1: 400 300 Frequency 200 100 0 3 6 9 12 15 18 21 24 Histogram 2: 800 700 600 500 Frequency 400 300 200 100 0 0 12 15 18 21 24 Histogram 3: 350 300 250 200 Frequency 150...

  • Use technology to create sampling distributions for a uniform population distribution. Complete parts a through d...

    Use technology to create sampling distributions for a uniform population distribution. Complete parts a through d below. Population Distribution a. Use technology to create a sampling distribution for the sample mean using sample sizes n=2. Take N=5000 repeated samples of size 2, and observe the histogram of the sample means. What shape does this sampling distribution have? O A. The sampling distribution is triangular. OB. The sampling distribution is normal. OC. The sampling distribution is uniform. OD. The sampling distribution...

  • The two curves below represent the sampling distribution of the sample mean X for two different...

    The two curves below represent the sampling distribution of the sample mean X for two different sample sizes: n = 256 and n = 576. In both cases the samples are selected from the same population. Note that the standard deviation for sampling distribution A is SD(X) = 8 and for sampling distribution B the standard deviation is SD(X) = 12. What is the standard deviation SD(X) of the population from which the samples are taken? A-8^2 B-(12+8)/2 C-13.86 D-12^2...

  • I need help with these sampling charts Your Turn (Continued) Sampling Distribution (n = 50) Sampling...

    I need help with these sampling charts Your Turn (Continued) Sampling Distribution (n = 50) Sampling Dotplot of Proportion Len Tail Two-Tall Right Tall Sangles - 120 0.591 std error -0.068 40 30 20 10 0 0.40 0.45 0.50 0.55 0.65 0.70 0.75 0.80 In the simulation, when we are building a sampling distribution, what does each dot represent in the graph? A random sample of 50 college students - The population proportion of female college students at is 60%,...

  • - Question 7 For families with 5 children, let X be the number of children with...

    - Question 7 For families with 5 children, let X be the number of children with Genetic Condition B. Can the following table be a probability distribution for the random variable X7 P(2) 1 0.2964 2. 0.0796 3 0.2148 4 0.2636 5 0.0227 yes Ono Pictured below an scrambled order) are three histograms: One of them represents a population distribution The other two are sampling distributions of x-bar, one for sample size n-5, and one for sample size - 30...

  • Using the population distribution below, suppose thousands of samples of size 40 are taken from this...

    Using the population distribution below, suppose thousands of samples of size 40 are taken from this population. What would the sampling distribution of all the sample means look like according to the Central Limit Theorem? Identify the shape. center, spread. Population Mean Median Std. dev. 11.2415 8.5987 9.4604 30 40 Population a. The sampling distribution would be normal with a mean that is less than 11.2415 and standard deviation less than 9.4604 b. The sampling distribution would be skewed to...

  • When samples of size n are drawn from a population, then the sampling distribution of the...

    When samples of size n are drawn from a population, then the sampling distribution of the sample mean X̄ is approximately normal, provided that n is reasonably large. a. True b. False The interval estimate 18.5±2.5 is developed for a population mean in which the sample standard deviation s is 7.5. Had s equaled 15 instead, the interval estimate would be 37±5.0. a. True b. False

  • In the notes there is a Central Limit Theorem example in which a sampling distribution of means i...

    R Programming codes for the above questions? In the notes there is a Central Limit Theorem example in which a sampling distribution of means is created using a for loop, and then this distribution is plotted. This distribution should look approximately like a normal distribution. However, not all statistics have normal sampling distributions. For this problem, you'll create a sampling distribution of standard deviations rather than means. 3. Using a for loop, draw 10,000 samples of size n-30 from a...

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