A variable measured at the interval or ratio level can have more than one arithmetic mean.
interval
No. The width of the confidence interval depends on the confidence level. The width of the confidence interval increases as the degree of confidence demanded from the statistical test increases.
True.
Year of birth is interval level of measurement; age is ratio.
The level is 1 year.
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,
interval
There are different types of interval estimates. Given a rounded value for some measure, the interval estimate, based on rounding, is the interval from the minimum value that would be rounded up to the given value to the maximum value that would be rounded down to the given value. For example, given 4.5 with rounding to the tenths, the minimum of the interval is 4.45 and the maximum is 4.55 so that the interval estimate is (4.45, 4.55). Statistical interval estimates for a random variable (RV) are probabilistic. For example, given some probability measure (for example 95% or 5% significance level), the interval estimate for a random variable is any interval such that the probability of the true value being inside that interval is 95%. Often the interval is symmetrical about the mean value of the RV that is being estimated, but this need not be the case - particularly if the RV is near an extreme of the distribution.
It is probably an interval scale but it is difficult to be sure because there appears to be some text missing fro the question.
No. The interval level is more refined and so enables calculations which are not available at the nominal level.
Technically is an ordinal level measurement - because the options imply a hierarchy (i.e low to high levels of your variable of interest), but we cannot say that the difference between each level is precisely the same as you would be able to with an interval measurement. There is some controversy over this though, and it is still often used like an interval measurement in statistical tests, although this might not really be appropriate.
the level of measurement is interval
Sea level is measured by altimeter.
The confidence interval becomes wider.
There are two parameters regarding hearing ranges. One is frequency range, and the range of hearing is measured in Hertz, which is cycles per second. Another variable is the threshold of hearing. In other words, how loud does a sound at a given frequency have to be to be heard. That sound level is measured in decibels with respect to a reference level. The threshold level will vary with the pitch (frequency) of the sound, as you might have guessed.
interval