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Understanding Basic Statistics Enhanced 7th Edition Brase Solutions Manual

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Download at: https://goo.gl/Bg62ao understanding basic statistics 7th edition pdf understanding basic statistics enhanced pdf amazon oops we re sorry
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       F  r  e  q  u  e  n  c  y Understanding Basic Statistics Enhanced 7th Edition Brase SOLUTIONS MANUAL Full clear download (no formatting errors) at: https://testbankreal.com/download/understanding-basic-statistics-enhanced-7th-edition-brase-solutions-manual/  Chapter 2: Organizing DataSections   1. Class limits are possible data values, and they specify the span of data values that fall within a class. Class  boundaries are not possible data values; they are values halfway between the upper class limit of one class and the lower class limit of the next class. 2. Each data value must fall into one class. Data values above 50 do not have a class. 3. The classes overlap. A data value such as 20 falls into two classes. 4. These class widths are 11.  5. Width 82 20 8.86 , so round up to 9. The class limits are 20  –   28, 29  –   37, 38  –   46, 47  –   55, 56  –   64,  7   65  –   73, 74  –   82.  6. Width 120 10 22 , so round up to 23. The class limits are 10  –   32, 33  –   55, 56  –   78, 79  –   101,  5   102  –   124. 7. (a) The distribution is most likely skewed right, with many short times and only a few long wait times. (b) A bimodal distribution might exist if there are different wait times during busy versus slow periods. During the morning rush, many long wait times might occur, but during the slow afternoon, most wait times will be very short. 8. The data set consists of the numbers 1 up through 100, with each value occurring once. The histogram will be uniform. 9. (a) Yes. (b)   Histogram  of Highway mpg   12 10 8 6 4 2 0 16.5 20.5 24.5 28.5 Highway mpg  32.5 36.5 40.5    OT FO  10. (a)   N R SALE  (b) Yes. Yes. (c)   11. (a) The range of data seem to fall between 7 and 13 with the bulk of the data between 8 and 12. (b) All three histograms are somewhat mound-shaped with the top of the mound between 9.5 and 10.5. In all three histograms the bulk of the data fall between 8 and 12. 12. (a) Graph (i) midpoint: 5; graph (ii) midpoint: 4; graph (iii) midpoint: 2. (b) Graph (i) 0-17; Graph (ii) 1-16; Graph (iii) 0-28. (c) Graph (iii) is most clearly skewed right; Graph (ii) is somewhat skewed right; Graph (i) is barely skewed right. (d)  No, each random sample of same size froma population is equally likely to be drawn. Sample (iii) most clearly reflects the properties of the population. Sample (ii) reflects the properties fairly well, but sample(i) seems to differ more from the described population. 13. (a) Because there are 50 data values, divide each cumulative frequency by 50 and convert to a percent.    (b) 35 states. (c) 6 states. (d N ) 2%  14. (a) Graph (i). (b) Graph (iii)   Class Limits Class   Boundaries  Midpoints Frequency Relative Frequency Cumulative Frequency 236  –  260 235.5  –  260.5 248   4   0.07   4  261  –  285 260.5  –  285.5 273   9   0.16   13  286  –  310 285.5  –  310.5 298   25   0.44   38  311  –  335 310.5  –  335.5 323   16   0.28   54  336  –  360 335.5  –  360.5 348   3   0.05   57   (b)      F  r  e  q  u  e  n  c  y (c) Graph (iii) 15. (a N ) Class w O idth = 25   T FOR SALE  (c)   Histogram  of Finish Times   25 20 15 10 5 0 236.0 260.5 285.5 310.5 335.5 360.0 Finish Times  
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