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What is the single parameter in the binomial distribution and what sample statistic would be used to estimate it?
Wiki User
∙ 14y ago
The binomial distribution is defined by two parameters so there is not THE SINGLE parameter.
Wiki User
∙ 14y ago
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What is the purpose of a sampling distribution?
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.
Is point estimate a range of values used to estimate a population parameter?
mabye, mabye not
What is the smallest measure of central tendency in a positively skewed distribution?
If the distribution is positively skewed distribution, the mean will always be the highest estimate of central tendency and the mode will always be the lowest estimate of central tendency. This is true if we assume the distribution has a single mode.
When the population standard deviation is not known?
Context of this question is not clear because it is NOT a full question. However when attempting to estimate an parameter such as µ using sample data when the population standard deviation σ is unknown, we have to estimate the standard deviation of the population using a stastitic called s where _ Σ(x-x)² s = ▬▬▬▬ n -1 _ and estimator for µ , in particular x ........................................._ has a standard deviation of s(x)= s/√n and the statistic _ x - hypothesized µ T = ▬▬▬▬▬▬▬▬▬▬ s has a student's T distribution with n-1 degrees of freedom If n> 30 , then by the Central Limit Theorem, the T distribution approaches the shape and form of the normal(gaussian) probability distribution and the Z table may be used to find needed critical statistical values for hypothesis tests , p-values, and interval estimates.
When do you know when to use t-distribution opposed to the z-distribution?
z- statistics is applied under two conditions: 1. when the population standard deviation is known. 2. when the sample size is large. In the absence of the parameter sigma when we use its estimate s, the distribution of z remains no longer normal but changes to t distribution. this modification depends on the degrees of freedom available for the estimation of sigma or standard deviation. hope this will help u.... mona upreti.. :)
What is the difference between statistics and parameters?
Parameter is any attribute Statistic are the measured values of a parameter. A statistic is a sample value such as the average height of a group of students. A parameter is a functional constant such as the mean of a normal distribution. Statistics are often used to estimate parameters. For instance, a sample average is an estimate of the mean.
What sample statistic is used to estimate a population parameter?
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
What studies use parametric statistics?
to estimate the parameter values of a known distribution like normal distribution in this we estimate the parameters pop.mean and s.d
What is the the relationship between population and sample parameter and statistic?
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
What is Confidence Intervals of Margin of Error?
The magnitude of difference between the statistic (point estimate) and the parameter (true state of nature), . This is estimated using the critical statistic and the standard error.
What is used to estimate the population parameter?
point estimate
What is the purpose of a sampling distribution?
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.
What is Hypothesis Testing of Point Estimate?
A statistical estimate of the population parameter.
Is the sample mean a point estimate of the population mean?
A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
Can you use the formulas for a probability distribution to calculate parameters for a binomial probability distribution or can you just use the given formulas for a binomial probability distribution?
This depends on what information you have. If you know the success probability and the total number of observations, you can use the given formulas. Most of the time, this is the case. If you have data or experience which allow you to estimate the parameters, it may sometimes happen that you work like this. This mostly happens when n is very large and p very small which results in an approximation with the Poisson distribution.
Is point estimate a range of values used to estimate a population parameter?
mabye, mabye not
In statistics what is the difference between average and normal?
Given a set of n numbers, the average is the sum of the set of numbers divided by n. An average implies that I have a set of data and I've made the calculation as above. The word "normal" is usually used as "normal distribution." Two terms often confused are "mean" and "average." When an average (a statistic) is calculated, this is the best estimate of the mean (a parameter) of the distribution. If I am referring to the properties of a distribution, I should use the term "mean" and not "average." Often, people will refer to the mean of a dataset, when they have calculated an average.
