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Because electorn ionised the moisture content and evaporated. Every trial for the same sample moisture content get reduced which helps to improve dielectric strength a bit. But if the sample having very low dielerctric strength it should be thrown.
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Describe the conditions necessary for a measure of variation to have the value zero?
The measurements for all members of the sample are the same.
What is the median of 1 number only?
Your single number is your only information of the median value of the population, so the median value is the same as your single number. It is also the mode and mean of your sample.
Is sample standard deviation the same as standard deviation?
No, the standard deviation is a measure of the entire population. The sample standard deviation is an unbiased estimator of the population. It is different in notation and is written as 's' as opposed to the greek letter sigma. Mathematically the difference is a factor of n/(n-1) in the variance of the sample. As you can see the value is greater than 1 so it will increase the value you get for your sample mean. Essentially, this covers for the fact that you are unlikely to obtain the full population variation when you sample.
Is it possible for two sample sets to have the same range but different means?
could a sample set have the same range but different means
What is the primary characteristic of a probability sample?
In the context of a sample of size n out of a population of N, any sample of size n has the same probability of being selected. This is equivalent to the statement that any member of the population has the same probability of being included in the sample.
What happens to the confidence interval as the sample estimate increases?
Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.Assuming that other measures remain the same, as the sample estimate increases both ends of the confidence interval will increase. In effect, the confidence interval will be translated to a higher value without any change in its size.
How do you calculate distribution of sample means?
The sample mean is distributed with the same mean as the popualtion mean. If the popolation variance is s2 then the sample mean has a variance is s2/n. As n increases, the distribution of the sample mean gets closer to a Gaussian - ie Normal - distribution. This is the basis of the Central Limit Theorem which is important for hypothesis testing.
What is each sample does not necessarily have the same properties as every other sample?
You will typically have an experimental parameter that will be varied as part of testing a hypothesis.
Why does the density of a substance not change with the sample size?
Density = mass / volume As sample size increases, both mass and volume increase in the same ratio.
What is the difference between biopsy and blood test and are they the same thing?
A biopsy is a sample of tissue that is sent to the lab for testing. A blood test is testing of the blood itself.
What happens when the y value increases does the x value increase decrease or stay the same?
The value of x is directly proportional to to the value of y.hence when the value of x increases the value of y decrteses and vice verse
A large sample of solid calcium sulfate is crushed into smaller pieces for testing Which two physical properties are the same for both the large sample and one of the smaller pieces?
Solubility and density
What does the term control sample mean?
A 'control' is a sample with a known outcome. By testing the control at the same time, with the same operator, under the same conditions as the 'test sample' one builds validity into the test result, assuming of course, that the result gives the expected outcome.
Difference between mean and expected value?
For a population the mean and the expected value are just two names for the same thing. For a sample the mean is the same as the average and no expected value exists.
Will the value of the expression 20- x increasedecreaseor stay the same as x increases?
Try it out. 20 - 3 = 17 20 - 4 = 16 The value decreases as x increases.
How do you prove that the sample variance is equal to the population variance?
You cannot prove it because it is not true.The expected value of the sample variance is the population variance but that is not the same as the two measures being the same.
What distribution does the F distribution approach as the sample size increases?
The F distribution is used to test whether two population variances are the same. The sampled populations must follow the normal distribution. Therefore, as the sample size increases, the F distribution approaches the normal distribution.
