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A function is positive on an interval, say, the interval from x=a to x=b, if algebraically, all the y-coordinate values are positive on this interval; and graphically, the entire curve or line lies above the x-axis.on this interval.
Hourly temperature
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.
A histogram
it would be with a level of significance of 0.15.