there is a relatively large spread of values away from the mean. If you have 1,000 items in a data set then a standard deviation of 20 is much less significant. It's a number that must be considered in
Select the test statistic.
I struggle to find a way to compute the p-value for the area under a receiver operator characteristic (ROC). I have a continuous variable and a diagnostic test result. I want to see if AUROC is statistically significant. I found many packages dealing with ROC curves: pROC, ROCR, caToo...
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For an Alpha value of0.05, theP-values are less than 0.05, indicating that werejectthe nullhypothesis. The data is highly significant. Method 2 – Using the T.TEST Function In this section, we will be using theT.TEST functionto determine thePvalues for tails1and2. ...
Explain how to compute support of distribution. Support of a Distribution: When we are working with some kind of situation and recording what events occur, it is important to have an idea of what events could even occur in this situation. For instance, we cannot find the probability of some...
The T test was developed by William Sealy Gosset in 1908 as a way to tell if the difference between two sets of information was statistically significant. It is used to determine if the change in two sets of data, which may be in a graph or table form, i
For a relatively small number of points as 2000, the step to calculate mag : mag = np.linalg.norm(k) might become significant too in terms of runtime. So, to speed that up, one could alternatively use np.einsum again, like so - mag = np.sqrt(np.einsum('i,i->',k,k)) Runti...
I'm attempting to understand the calculations of running times, however, I've reached an impasse. If you have two functions, say (N^3 + 2N^2 + 6N + 3) and (6N^2 + 4N + 10) How do you approach finding the value of N at which the two algorithms reach the same efficiency?
I was wondering if there was any way to determine how many significant figures I should report for the slope, intercept, and r2 value, or if I should report all values that R reports to me to the furthest digit. Part of the reason I am a bit unsure if I should round or...