A distribution of a single statistic from repeated random samples of the same size from the same population refers to which of the following?Group of answer choicesDistribution of summary statisticsRandom samplingDistribution of population parametersThe normal curveSampling distribution of a statistic
Question
A distribution of a single statistic from repeated random samples of the same size from the same population refers to which of the following?Group of answer choicesDistribution of summary statisticsRandom samplingDistribution of population parametersThe normal curveSampling distribution of a statistic
Solution
The answer to your question is "Sampling distribution of a statistic". This term refers to the distribution of a single statistic (like the mean, median, mode etc.) obtained from repeated random samples of the same size from the same population.
Similar Questions
Which of the following best describes the sampling distribution of a statistic?Group of answer choicesA distribution of all parameters from the population that is to be randomly sampled.A normal curve, for which probabilities are obtained by standardizing.The mechanism that determines whether the random sampling was effective.A distribution of all possible summary statistics from a single random sample, from the same population.A distribution of a single statistic from repeated random samples of the same size, from the same population.
Which of the following statements is correct about a parameter and a statistic associated with repeated random samples of the same size from the same population?Review LaterValues of a parameter will vary from sample to sample but values of a statistic will notValues of both a parameter and a statistic may vary from sample to sampleValues of a parameter will vary according to the sampling distribution for that parameter.Values of a statistic will vary according to the sampling distribution for that statistic.
Suppose we take repeated random samples of size 20 from a population with a mean of 60 and a standard deviation of 8. Which of the following statements is true about the sampling distribution of the sample mean (x̄)? Check all that apply. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. The distribution will be normal as long as the population distribution is normal. The distribution's mean is the same as the population mean 60. The distribution's standard deviation is larger than the population standard deviation of 8.
Which of the following statements best describes the relationship between a parameter and a statistic?Question 17Select one:a.A parameter has a sampling distribution with the statistic as its mean.b.A parameter has a sampling distribution used to determine values a statistic may have in repeated samples.c.A statistic is used to estimate a parameter.d.A parameter is used to estimate a statistic.
Use the following to answer questions 26-33:The sampling distribution shows sample means from samples of size n = 50.What does one dot on the sampling distribution represent?Group of answer choicesThe mean of the quantity being estimated in one sample of 50 people.One person in the sampling distributionOne person in one sample of 50 people.The proportion of quantity being estimated in one sample of 50 people.None of the other answers are correct.
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