Question

Which of the following statements is true about a Bootstrap Distribution? Bootstrap samples are generated by...

Which of the following statements is true about a Bootstrap Distribution?

Bootstrap samples are generated by sampling with replacement from the original population.

Bootstrap samples are generated by sampling with replacement using the sample data.

Bootstrap samples are generated by sampling without replacement from the original population.

Bootstrap samples are generated by sampling without replacement using the original sample data.

Homework Answers

Answer #1

Bootstrapping, which means 'strapping your own boots' or in statistical terms being self sufficient on what you have. When we have a sample taken from a larger population, bootstrapping is the process wherein a sizeable number of smaller samples (of the same size) are taken from the sample to create something called a bootstrap distribution. This method of sampling is done very specifically, with replacement.

Therefore Option 2: Bootstrap samples are generated by sampling with replacement using the sample data.

Know the answer?
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
Similar Questions
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 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....
Which of the following statements about the sampling distribution of the sample mean, ¯xx¯ , is...
Which of the following statements about the sampling distribution of the sample mean, ¯xx¯ , is the correct? 1The distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough. 2The distribution is normal regardless of the sample size, as long as the population distribution is normal. 3The distribution's mean is the same as the population mean. 4The distribution's standard deviation is smaller than the population standard deviation. 5All of...
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...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation σ√nσn even if the population is not normally distributed. II. The sampling distribution of ¯xx¯ is normal if the population has a normal distribution. III. When nn is large, the sampling distribution of ¯xx¯ is approximately normal even if the the population is not normally distributed. I and II I and III II and III I, II, and III None of the above gives...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation σ√nσn even if the population is not normally distributed. II. The sampling distribution of ¯xx¯ is normal if the population has a normal distribution. III. When nn is large, the sampling distribution of ¯xx¯ is approximately normal even if the the population is not normally distributed. I and II I and III II and III I, II, and III None of the above gives...
Which of the following statements about random sampling is correct: (i) Each element of the population...
Which of the following statements about random sampling is correct: (i) Each element of the population has an equal probability of being included in the sample. (ii) It is impossible to collect 'bad' samples, that is samples which are unrepresentative of the population. (iii) The population is divided into 'clusters' and one or more of these clusters are then randomly chosen.
Which one of the following statements is true? A. The Central Limit Theorem states that the...
Which one of the following statements is true? A. The Central Limit Theorem states that the sampling distribution of the sample mean, y , is approximately Normal for large n only if the distribution of the population is normal. B. The Central Limit Theorem states that the sampling distribution of the sample mean, y , is approximately Normal for small n only if the distribution of the population is normal. C. The Central Limit Theorem states that the sampling distribution...
1 - Which of the following statements is true regarding a 95% confidence interval? Assume numerous...
1 - Which of the following statements is true regarding a 95% confidence interval? Assume numerous large samples are taken from the population. a. In 95% of all samples, the sample proportion will fall within 2 standard deviations of the mean, which is the true proportion for the population. b. In 95% of all samples, the true proportion will fall within 2 standard deviations of the sample proportion. c. If we add and subtract 2 standard deviations to/from the sample...
Which of the following is true? The shape of the sampling distribution of sample proportion is...
Which of the following is true? The shape of the sampling distribution of sample proportion is always bell-shaped. As n increases, the mean of the sampling distribution of sample proportion gets closer to the population proportion. The shape of the sampling distribution of sample proportion becomes approximately normal as n gets large. The shape of the sampling distribution of sample proportion gets closer to the shape of the population distribution as n gets large.