enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Scott's rule - Wikipedia

    en.wikipedia.org/wiki/Scott's_Rule

    Scott's rule is a method to select the number of bins in a histogram. [1] Scott's rule is widely employed in data analysis software including R , [ 2 ] Python [ 3 ] and Microsoft Excel where it is the default bin selection method.

  3. Page's trend test - Wikipedia

    en.wikipedia.org/wiki/Page's_trend_test

    If a measure of the overall correlation between the conditions and the data is required, it can be calculated as; ρ = 12L/k(n 3 − n) − 3(n + 1)/(n − 1) if k = 1, this reduces to the familiar Spearman coefficient. The Page test is most often used with fairly small numbers of conditions and subjects.

  4. Count data - Wikipedia

    en.wikipedia.org/wiki/Count_data

    Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Tukey–Duckworth test - Wikipedia

    en.wikipedia.org/wiki/Tukey–Duckworth_test

    The critical values of the total count are, roughly, 7, 10, and 13, i.e. 7 for a two sided 5% level, 10 for a two sided 1% level, and 13 for a two sided 0.1% level. The test loses some accuracy if the samples are quite large (greater than 30) or much different in size (ratio more than 4:3). Tukey's paper describes adjustments for these conditions.

  7. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    Let D 2 be the value rolled on dice 2. Probability that D 1 = 2. Table 1 shows the sample space of 36 combinations of rolled values of the two dice, each of which occurs with probability 1/36, with the numbers displayed in the red and dark gray cells being D 1 + D 2. D 1 = 2 in exactly 6 of the 36 outcomes; thus P(D 1 = 2) = 6 ⁄ 36 = 1 ⁄ 6:

  8. Affinity analysis - Wikipedia

    en.wikipedia.org/wiki/Affinity_analysis

    Next, a subset is created called the frequent itemset. The association rules mining takes the form of if a condition or feature (A) is present then another condition or feature (B) exists. The first condition or feature (A) is called antecedent and the latter (B) is known as consequent. This process is repeated until no additional frequent ...

  9. Conditional loop - Wikipedia

    en.wikipedia.org/wiki/Conditional_loop

    The following is a C-style While loop.It continues looping while x does not equal 3, or in other words it only stops looping when x equals 3.However, since x is initialized to 0 and the value of x is never changed in the loop, the loop will never end (infinite loop).