Unrestricted random sampling normally results in a smaller sample size than does stratified sampling. True or...
Unrestricted random sampling normally results in a smaller sample size than does stratified sampling. True or false?
True
False
Homework Answers
FALSE: the results of an unrestricted random sampling will result in a larger sample size than a stratified sampling.
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Unrestricted random sampling normally results in a smaller
sample size than does stratified sampling. True or...
stratified random sampling question : + s2019/ 3. To estimate the total of the number of socio-democratic seats (SD...
stratified random sampling question :
+ s2019/ 3. To estimate the total of the number of socio-democratic seats (SDS), y in a municipal council, the population was stratified into four strata using the total number seats in the municipal council. Some information about these strata is given in the following table. Population Sample Number of N. ΣνΗ seats 31-40 756 44 1,647 13,784 72.223 89 441 41-50 168 3.383 9,735 51 -70 56 1,545 617 44,529 24,137 250 8.294 71-...
A random sample of size n = 25 is obtained from a normally distributed population with...
A random sample of size n = 25 is obtained from a normally distributed population with population mean μ =200 and variance σ^2 = 100. a) What are the mean and standard deviation of the sampling distribution for the sample means? b) What is the probability that the sample mean is greater than 203? c) What is the value of the sample variance such that 5% of the sample variances would be less than this value? d) What is the...
- The required sample size for the interval estimation of the population mean μ can be...
- The required sample size for the interval estimation of the population mean μ can be computed if we specify the population standard deviation σ, the value of zα/2zα/2based on the confidence level 100(1 − α)% and the desired margin of error E. A) True B) False - In stratified random sampling, the population is first divided up into mutually exclusive and collectively exhaustive groups, called strata. Then simple random samples are drawn from each stratum, which are proportional to...
True or False. (Determining sample size n for the purpose of estimating mean) For a specified...
True or False. (Determining sample size n for the purpose of estimating mean) For a specified sampling error (SE) and given population standard deviation, increase in the confidence level (1-alpha) will lead to a larger sample sizen. True False True or False The smaller the p-value associated with a test of hypothesis, the stronger the support for the research hypothesis. True False
A random sample of size 90 is selected from a population of over 2,000 students. The...
A random sample of size 90 is selected from a population of over 2,000 students. The sample is measured on an achievement test and the mean score on the test is 79.5. The difference between the sample mean and the population mean is due to: sampling bias sampling error the sampling fraction sampling stratification Sampling bias is variation caused by random fluctuation. True False
Which of the following is true about the sampling distribution of means? Shape of the sampling...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
A random sample of size n=12 obtained from a population that is normally distributed results in...
A random sample of size n=12 obtained from a population that is normally distributed results in a sample mean of 455 and sample standard deviation 116 An independent sample of silen.17 obtained from a population that is normally distributed results in a sample mean of 528 and sample standard deviation 15.1. Does this constate suficient evidence to conclude that the population means differ at the a=0 10 level of significance? Click here to view the standard normal distribution table (page...
A random sample of size 15 was taken from a normally distributed population with a population...
A random sample of size 15 was taken from a normally distributed population with a population mean 26 and a population standard deviation 4. Determine each of the following about the sampling distribution of the sample mean. Round your answer to at least 3 decimal places where appropriate. a) μx_= b) σx_= c) Can we conclude that the sampling distribution of the sample mean is normal?
o be 4.5. A simple random sample of size n is drawn. The sample mean, X,...
o be 4.5. A simple random sample of size n is drawn. The sample mean, X, is found to be 17.9, and the sample standard deviation, s, is found Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about H if the sample size, n, is 35. Lower bound: Upper bound: (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about if the sample...
A simple random sample of size n 43 is obtained from a population that is skewed...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
stratified random sampling question :
+ s2019/ 3. To estimate the total of the number of socio-democratic seats (SDS), y in a municipal council, the population was stratified into four strata using the total number seats in the municipal council. Some information about these strata is given in the following table. Population Sample Number of N. ΣνΗ seats 31-40 756 44 1,647 13,784 72.223 89 441 41-50 168 3.383 9,735 51 -70 56 1,545 617 44,529 24,137 250 8.294 71-...
True or False. (Determining sample size n for the purpose of estimating mean) For a specified sampling error (SE) and given population standard deviation, increase in the confidence level (1-alpha) will lead to a larger sample sizen. True False True or False The smaller the p-value associated with a test of hypothesis, the stronger the support for the research hypothesis. True False
A random sample of size n=12 obtained from a population that is normally distributed results in a sample mean of 455 and sample standard deviation 116 An independent sample of silen.17 obtained from a population that is normally distributed results in a sample mean of 528 and sample standard deviation 15.1. Does this constate suficient evidence to conclude that the population means differ at the a=0 10 level of significance? Click here to view the standard normal distribution table (page...
o be 4.5. A simple random sample of size n is drawn. The sample mean, X, is found to be 17.9, and the sample standard deviation, s, is found Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about H if the sample size, n, is 35. Lower bound: Upper bound: (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about if the sample...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
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