Homework Answers
1) statistic
a fact or piece of data obtained from a study of a large quantity of numerical data.
2) Sampling
The sampling distribution of a statistic is the distribution of
that statistic, considered as a random variable, when derived from
a random sample of size . It may be considered as the distribution
of the statistic for all possible samples from the same population
of a given sample size.
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1.) possible answers:
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2.) possible answers:
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What is the sampling distribution of a statistic? A) The distribution of observations of the statistic...
What is the sampling distribution of a statistic? A) The distribution of observations of the statistic for all possible sizes of samples from a population B) The distribution of all possible observations of the statistic for samples of a given size from a population C) The distribution of observations of a variable in a sample for a given value of the statistic
Please answer all parts. 7. A sample statistic is an estimator of the population parameter, if...
Please answer all parts.
7. A sample statistic is an estimator of the population parameter, if the mean of the sampling distribution for the sample statistic is the 8. A distribution has a mean of 12 and a variance of 250. Find the second moment about the origin. Answer:
A. Suppose you take a sample of size n from a population and calculate a statistic...
A. Suppose you take a sample of size n from a population and calculate a statistic from that sample. The statistic could be a sample proportion p, a sample mean x, or another statistic. Then suppose we repeat this process over and over again until we find all possible samples of size n from the population (this is a theoretical idea) and we calculate the same statistic from 1. each sample. The collection of all of the statistics calculated is...
_____________I. The value(s) assigned to a population parameter based on the value(s) of a sample statistic...
_____________I. The value(s) assigned to a population parameter based on the value(s) of a sample statistic is(are) ______________? a) the probabilities B) a sampling distribution C) the probability distribution D) estimates(s) _____________II. For any shaped distribution, we can use the Student t distribution to make a confidence interval for a population mean provided that the sample standard deviation, s, is known and the sample size, n, is ______________? greater than 10 B) at least 30 C) less than 25 ...
Which of the following is an accurate statement regarding sampling distribution? A. Each population exception rate...
Which of the following is an accurate statement regarding sampling distribution? A. Each population exception rate and sample size has the same sampling distribution. B. Sampling distributions allow the auditor to make probability statements about the likely representativeness of any sample that is in the distribution. C. Auditors cannot use sampling distributions to draw statistical conclusions about the unknown population being sampled. D. A sampling distribution is a sample with characteristics the same as those of the population.
Identify a situation as either a sample statistic or population parameter. Which of the following is an...
Identify a situation as either a sample statistic or population parameter. Which of the following is an example of a parameter? a.) 50 random students are asked how much they spent on supplies b.) 30 random adults are asked how much they spent on health insurance c.) Average number of all adults who smoke regularly d.) Summary value of a sample
The represents the number of standard deviations the sample statistic can be from the parameter and...
The represents the number of standard deviations the sample statistic can be from the parameter and still produce an interval that includes the parameter How to find 1 Take confidence level and sketch the normal distribution 1 ais the area in both outer takes of 2. the distribution 3. Divide 1-a in half to get a/2 that represents the area in 1 tai 4. Use the invNorm function in the calculator with a/2 as the area in the left tail...
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling...
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling (1) True. (2) False (32) Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of will be exactly normal. (4) If the...
Selecting a random sample is an example of a statistical experiment, and the sample statistic p i...
Selecting a random sample is an example of a statistical experiment, and the sample statistic p is a numerical description of the result of the experiment. Therefore, p is a random variable. The probability distribution of p is called the sampling distribution of p In practice, you select one random sample and use the information from that sample to estimate the population parameter of interest. However statisticians sometimes perform a procedure called repeated sampling, in which the experiment is run...
urgent one hours plz help quick t-distribution PARAMETER equal to n-1, where n the the sample...
urgent one hours plz help quick t-distribution PARAMETER equal to n-1, where n the the sample size used to estimate the sample mean and standard deviation. 123456789101112131415 Gives the number of STANDARD DEVIATIONS a value is from the mean. 123456789101112131415 Standard deviation of a sample statistic. 123456789101112131415 Using data to determine properties of population parameters. 123456789101112131415 A NORMAL distribution with mean 0 and standard deviation 1. 123456789101112131415 Gives the NORMALITY of sample means for large sample. 123456789101112131415 A known percentage...
Please answer all parts.
7. A sample statistic is an estimator of the population parameter, if the mean of the sampling distribution for the sample statistic is the 8. A distribution has a mean of 12 and a variance of 250. Find the second moment about the origin. Answer:
A. Suppose you take a sample of size n from a population and calculate a statistic from that sample. The statistic could be a sample proportion p, a sample mean x, or another statistic. Then suppose we repeat this process over and over again until we find all possible samples of size n from the population (this is a theoretical idea) and we calculate the same statistic from 1. each sample. The collection of all of the statistics calculated is...
Identify a situation as either a sample statistic or population parameter. Which of the following is an example of a parameter? a.) 50 random students are asked how much they spent on supplies b.) 30 random adults are asked how much they spent on health insurance c.) Average number of all adults who smoke regularly d.) Summary value of a sample
The represents the number of standard deviations the sample statistic can be from the parameter and still produce an interval that includes the parameter How to find 1 Take confidence level and sketch the normal distribution 1 ais the area in both outer takes of 2. the distribution 3. Divide 1-a in half to get a/2 that represents the area in 1 tai 4. Use the invNorm function in the calculator with a/2 as the area in the left tail...
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling (1) True. (2) False (32) Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of will be exactly normal. (4) If the...
Selecting a random sample is an example of a statistical experiment, and the sample statistic p is a numerical description of the result of the experiment. Therefore, p is a random variable. The probability distribution of p is called the sampling distribution of p In practice, you select one random sample and use the information from that sample to estimate the population parameter of interest. However statisticians sometimes perform a procedure called repeated sampling, in which the experiment is run...
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