0
What else can I help you with?
What are margin notes?
Little notes off to the side (margin) that you can refer to if taking a test/quiz and need to study
What is a star used in printing to refer to a margin note?
A star used in printing that refers to a margin note is called an asterisk.
What refer to the distance from the text to the paper edge?
I believe that's called the margin.
A star used in printing to refer to a margin note?
The star symbol (*) is commonly used in printing to denote a footnote or margin note. It directs the reader to additional information or commentary located at the bottom of the page or in the margin.
How does the type of data collected and the way in which the data is collected affect the possibility of type 1 and type 2 errors?
Sample size is a direct function of what statisticians refer to as Confidence and Power of a test. 'Confidence' is 1-Prob(Type I error), or the probability of the test rejecting the null hypothesis when it should be rejected. That is, the chances of getting a true positive. 'Power' is 1-Prob(Type II error), or the probability of the test retaining the null hypothesis when it should be retained. That is, the chances of getting a true negative. The levels of confidence and power are arbitrary but generally set at 95% and 80% respectively. As sample size gets smaller so too does confidence and power (as long as your margin of error stays the same).It is also important that sample data be collected at random from the population. That way each unit in the population has equal chance of being selected for the study. This reduces bias in your results. Bias can also lead to Type I and II errors, but it's harder to quantify if you don't know what the bias is.So there is no real way of avoiding Type I & II errors (unless you take a census of the whole population). But you can reduce error by randomly selecting a large enough sample.
What is Ca and Ci?
Ca can refer to calcium, a mineral important for bone health, muscle function, and nerve transmission. Ci can refer to confidence interval, a range of values that is used to estimate the true value of a population parameter with a certain degree of confidence.
What is service intervals for Chrysler grand voyager?
This depends on the year. Please ask your Chrysler dealer or refer to your owners manual.
How do I fix Error code 1603 for net framework?
refer the related links.
Should a memorandum have 2 inch margin on all 4 sides?
No. Refer to the related links for an article on the proper format for a memorandum.
Grace Hopper used for the first time this term to refer to a programming error?
bug
To what does a REF error message refer?
A REF error message is a message that is used in the Windows Excel program, part of the Office package, in that there is an error input or output in an excel cell data pack.
What is rate measure and calculation of errors?
Standard error (statistics)From Wikipedia, the free encyclopediaFor a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value.The standard error is a method of measurement or estimation of the standard deviation of the sampling distribution associated with the estimation method.[1] The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate.For example, the sample mean is the usual estimator of a population mean. However, different samples drawn from that same population would in general have different values of the sample mean. The standard error of the mean (i.e., of using the sample mean as a method of estimating the population mean) is the standard deviation of those sample means over all possible samples (of a given size) drawn from the population. Secondly, the standard error of the mean can refer to an estimate of that standard deviation, computed from the sample of data being analyzed at the time.A way for remembering the term standard error is that, as long as the estimator is unbiased, the standard deviation of the error (the difference between the estimate and the true value) is the same as the standard deviation of the estimates themselves; this is true since the standard deviation of the difference between the random variable and its expected value is equal to the standard deviation of a random variable itself.In practical applications, the true value of the standard deviation (of the error) is usually unknown. As a result, the term standard error is often used to refer to an estimate of this unknown quantity. In such cases it is important to be clear about what has been done and to attempt to take proper account of the fact that the standard error is only an estimate. Unfortunately, this is not often possible and it may then be better to use an approach that avoids using a standard error, for example by using maximum likelihood or a more formal approach to deriving confidence intervals. One well-known case where a proper allowance can be made arises where Student's t-distribution is used to provide a confidence interval for an estimated mean or difference of means. In other cases, the standard error may usefully be used to provide an indication of the size of the uncertainty, but its formal or semi-formal use to provide confidence intervals or tests should be avoided unless the sample size is at least moderately large. Here "large enough" would depend on the particular quantities being analyzed (see power).In regression analysis, the term "standard error" is also used in the phrase standard error of the regression to mean the ordinary least squares estimate of the standard deviation of the underlying errors.[2][3]
