try sqrt(N) where N represents the number of observations you have...
mean
You can estimate them both.
You can estimate them both.
You can estimate the median and the mean.
An open interval centered about the point estimate, .
mean
Look at the tallest bar in a histogram.
You can estimate them both.
You can estimate them both.
You can estimate the median and the mean.
An open interval centered about the point estimate, .
A histogram is a graph, kind of like a cousin to the bar graph. A histogram has no spaces between it's bars, and the intervals on the horizontal axis are equal. For example, if you take a survey and ask how many times you went to the movies each year, people wouldn't know the exact amount they went, so you would give them choices, such as 0-10, 11-20, 21-30, and 31+. So people wouldn't have to give the exact answer, just a rough estimate. And along the vertical axis you would have the number of people per bar depending on how many times they went to the movies. I hope this helped
If you are looking to determine your payment thresholds, you only require the duration of amortization, the initial loan value, the interest rate and the frequency of payments.
Estimate the answer. If the calculated answer is close to the estimate then it is reasonable.
The relative frequency is an estimate of the probability of an event.
To determine map units in a genetic map, one can use the frequency of recombination events between genes as a measure. Map units are calculated based on the percentage of offspring that show recombination between two genes, with one map unit equal to a 1 recombination frequency. This allows researchers to estimate the distance between genes on a chromosome.
I think that you mean histogram, so I am going to go off of that meaning. A histogram is a statistical image that shows a visual impression of the distribution of data. It's purpose is to assess the probability distribution of a given variable, by depicting frequencies in a certain range of values. Histograms are used when density estimation is needed, or when one needs to estimate the probability density function of an underlying variable. More often than not, it is used in mathematics and statistics in order to determine the distribution of a specific variable at varying frequencies.