Use the following data set for Exercises 28–30: 1 1 1337 28. Bin the data into three bins of equal width (width = 3).

Question

Question

Use the following data set for Exercise 28: 1 1 1337 28.

Bin the data into three bins of equal width (width = 3).

Answer 1

Similar Homework Help Questions

histograms are always set with uniform width bins. Is there any kind of data set where...

histograms are always set with uniform width bins. Is there any kind of data set where it might be more useful to have variable width bins (some bins span a wider range of data points than others)? Explain.
1)Construct a histogram of the data. How many bins did you use? What was the width...

1)Construct a histogram of the data. How many bins did you use? What was the width of the bins? 2) Calculate the skewness measure. 3)Calculate the z-score of the data (you do not need to report these). What is the minimum and maximum z-score. What is the proportion of observations that have z-score larger than 1.5? the data is 55.3 55.3 55.3 55.9 55.9 55.9 55.9 56.1 56.1 56.1 56.1 56.1 56.8 56.8 57 57 57 57.8 57.8 57.8 57.9...
B.) First Fit C.) First Fit with sorting #1. Bin packing - Perform three bin packing...

B.) First Fit C.) First Fit with sorting #1. Bin packing - Perform three bin packing algorithms. You can assume you have infinite supply of bins (minibuses if we think as of packing data) of size 7. Explain your steps. 0 A) Next Fit Groups Minibuses 3 7 10 7 6 4 7 5 20 7

In preparation of constructing a histogram, how many bins would you use for a data set...

In preparation of constructing a histogram, how many bins would you use for a data set that had a total of 108 data points?
Use simulations to analyze the behavior of hashing with chaining using the balls-and-bins simulations. Assume being...

Use simulations to analyze the behavior of hashing with chaining using the balls-and-bins simulations. Assume being given n balls and m bins, and you are throwing n balls uniformly randomly into m bins. You need to answer the following questions for various combinations of values of n and m: After throwing n balls into m bins: 1) How many (what fraction of m) of bins were empty? (MIN,MAX and AVERAGE --- explanation below) 2) How many bins (what percentage of...
Consider the following four problems: Bin Packing: Given n items with positive integer sizes s1,s2,...,sn, a...

Consider the following four problems: Bin Packing: Given n items with positive integer sizes s1,s2,...,sn, a capacity C for bins and a positive integer k, is it possible to pack the n items using at most k bins? Partition: Given a set S of n integers, is it possible to partition S into two subsets S1 and S2 so that the sum of the integers in S1 is equal to the sum of the integers in S2? Longest Path: Given...

(1 point) Use the table below to find the standard deviation of the following data set:...

(1 point) Use the table below to find the standard deviation of the following data set: Use at least three decimal places of accuracy at each step. 21,28,41,41,42,47 21 28 41 41 42 47 SUM SUM SUM 12- Note: In order to get credit for this problem all answers must be correct.
Consider the following data set: 20, 30, 38, 22, 28, 50, 60. What is the IQR...

Consider the following data set: 20, 30, 38, 22, 28, 50, 60. What is the IQR of this data set?
Refer to the accompanying data set and use the 30 screw lengths to construct a frequency...

Refer to the accompanying data set and use the 30 screw lengths to construct a frequency distribution. Begin with a lower class limit of 2.220 2.220 in., and use a class width of 0.010 in. The screws were labeled as having a length of 2 1 divided by 4 in. 2 1/4 in. The following data show the ages of recent award-winning male actors at the time when they won their award. Make a frequency table for the data, using...

Data set (observations) : 28 30 30 29 12 28 31 32 mean: 27.5 standard deviation:...

Data set (observations) : 28 30 30 29 12 28 31 32 mean: 27.5 standard deviation: 6.887 a) how many observations are within 2 standard deviations from the mean? b) are there any outliers in this dataset? name 3 things we might do with an outlier