See the answer If you have 256 data points, how many classes would Struges' Rule suggest? Expert Answer 100% (5 ratings) k = 1 + 3.322 (log n) ...base o … View the full answer Previous question Next question
Jan 29, 2017 · Question 7 Correct 1.00 points out of 1.00 Not flaggedFlag question Question text If you have 256 data points, how many classes (bins) would Sturges' Rule suggest? Select one: a. 6 b. 7 c. 8 d. 9 Correct Feedback Your answer is correct. The correct answer is: 9
Jun 06, 2016 · If you have 256 data points, how many classes (bins) would Sturges' Rule suggest? A. 6 B. 7 C. 8 D. 9 Sturges' Rule suggests k = 1 + 3.3 log (256) = 9 bins. AACSB: Analytic Blooms: Apply Difficulty: 2 Medium Learning Objective: 03-02 Create a frequency distribution for a data set. Topic: Frequency Distributions and Histograms 75.
c. The bar widths show class intervals and their heights indicate frequencies. d. The bar widths are an exact multiple of the sample size. Your answer is correct. The correct answer is: The bar widths show class intervals and their heights indicate frequencies. If you have 256 data points, how many classes (bins) would Sturges' Rule suggest?
The Sturges rule is used to determine the number of classes when the total number of observations is given. Formula used: Sturges rule to find the number of classes is given by $K = 1 + 3.322\log \,N$ where $K$ is the number of classes and $N$ is the total frequency.
Sturges rule is a rule for determining the desirable number of groups into which a distribution of observations should be classified; the number of groups of classes is 1 + 3.3 log n , where is the number of observations.
Choose between 5 and 20 bins. The larger the data set, the more likely you'll want a large number of bins. For example, a set of 12 data pieces might warrant 5 bins but a set of 1000 numbers will probably be more useful with 20 bins. The exact number of bins is usually a judgment call.Jun 5, 2018
1:447:11Sturges Rule - YouTubeYouTubeStart of suggested clipEnd of suggested clipOr very small or very large numbers Excel actually has log a built-in. Open a parenthesis the sampleMoreOr very small or very large numbers Excel actually has log a built-in. Open a parenthesis the sample size so I click on that cell. And then I close the parentheses.
If you use too few bins, the histogram doesn't really portray the data very well. If you have too many bins, you get a broken comb look, which also doesn't give a sense of the distribution. One solution is to create a graph that shows every value.
For other plotting libraries without this option (e.g., ggplot2 ), you can calculate binwidth as: If you use too few bins, the histogram doesn't really portray the data very well. If you have too many bins, you get a broken comb look, which also doesn't give a sense of the distribution.