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The sample variance is always smaller than the true value of the population variance is always larger than the true value of the population variance could be smaller equal to or?
yes, it can be smaller, equal or larger to the true value of the population varience.
Is it true or false that the standard deviation of a set is always smaller than the variance of that set?
False. The standard deviation of a set is the square root of the variance, so it is not always smaller; in fact, it is always less than or equal to the variance when the variance is positive. The standard deviation can be equal to the variance only when the variance is 1 (since the square root of 1 is 1).
Can the Variance ever be smaller than standard deviation?
Yes. If the variance is less than 1, the standard deviation will be greater that the variance. For example, if the variance is 0.5, the standard deviation is sqrt(0.5) or 0.707.
Does the variance of t distributions become smaller as degrees of freedom increase?
Yes.
How can you assess differences in quality or performance by simply comparing z values under a standard normal curve?
The smaller the z number, the smaller the variance and the closer to the mean the parts are. This will give you a better capability value.
Describe how to compare two whole numbers such as 5873 and 5098?
Greater than by 775 smaller by 775 percentage variance positive/negative varaiance
Is the atom that remains after the nucleus disintegrate larger of smaller than the original atom?
smaller
What causes a DM Price Variance?
There are a number of reasons for causinf DM Price Variance. Adverse Price Variance 1) Demand > Supply (Low Supply, High Demand result in price to be material purchase to be more costly) 2) Change to a higher grade material quality. 3) Purchases made from oversea, exchange rate incurred 4) Purchases made in smaller quantity As for favourable DM price variance, explanation will be opposite of the above given.
How does sample variance influence the estimated standard error and measures of effect size such as are r2 and Cohen's D?
Sample variance directly influences the estimated standard error, as the standard error is calculated using the sample variance divided by the square root of the sample size. A higher sample variance results in a larger standard error, indicating greater uncertainty in the estimate of the population parameter. For effect size measures like ( r^2 ) and Cohen's D, increased sample variance can affect their interpretation; larger variance may lead to smaller effect sizes, suggesting that the observed differences are less pronounced relative to the variability in the data. Thus, understanding sample variance is crucial for accurate estimation and interpretation of effect sizes.
Which optical devices can form only images that are smaller than the original object?
Concave lens can form only images that are smaller than the original object.
What is the effect of transformer impedance on regulation?
The lower the impedance, the lower the voltage drop across the transformer as it is loaded. This means regulation is better, since voltage variance is smaller.
Was the London eye built to the original plan?
no, the original plan was for more capsules that were smaller and for it to be a temporary feature
