In statistics, the t-test is a measure of the probability of a particular event happening. It is based upon a normal (bell-shaped curve) distribution of probabilities.
A negative number result for a t-test indicates that the probability calculated is to the left if you are graphing it on the bell curve. Importantly, it does not indicate a "less than zero" chance of an event happening.
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the populations have an excess of heterozygotes
This is a very simple statistic to comprehend and to calculate. It takes the frequency distribution method of calculating probability. The statistic is calculated as This statistic is simple to interpret as well. What it calculates is the probability of the portfolio to get a negative return. It can be comprehended that a higher figure would mean a higher probability of fund to do give negative returns.
A high z-score (or t-score, depending on what info you've been given for the data) means that a number is very far away from the mean (average) number. This number might be an outlier.
IN statistics yes there is a negative mean. Mean is the average of multiple numbers. Negative is opposite of positive.
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.