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Given the following set of data (Group 1 data from previous problem, shown again

ID: 3296981 • Letter: G

Question

Given the following set of data (Group 1 data from previous problem, shown again here): (23, 41, 16, 75, 48, 63, 94, 50, 47, 35)

Which is true about the shape of the distribution? (Hint: 'Analyze->Descriptives' and see ch. 5)

  Based on the small z-values for skewness & kurtosis and the non-significant Kolmogorov-Smirnov test, the data are negatively skewed and definitely not normally distributed

  Based on the large z-values for kurtosis and the significant Kolmogorov-Smirnov test, the data are approximately normally distributed

Based on the large z-values for skewness and the significant Kolmogorov-Smirnov test, the data are positively skewed and definitely not normally distributed

Based on the small z-values for skewness & kurtosis and the non-significant Kolmogorov-Smirnov test, the data are approximately normally distributed

  Based on the small z-values for skewness & kurtosis and the non-significant Kolmogorov-Smirnov test, the data are negatively skewed and definitely not normally distributed

  Based on the large z-values for kurtosis and the significant Kolmogorov-Smirnov test, the data are approximately normally distributed

Based on the large z-values for skewness and the significant Kolmogorov-Smirnov test, the data are positively skewed and definitely not normally distributed

Based on the small z-values for skewness & kurtosis and the non-significant Kolmogorov-Smirnov test, the data are approximately normally distributed

Explanation / Answer


Based on above information , Option D is Correct. Based on the small z-values for skewness & kurtosis and the non-significant Kolmogorov-Smirnov test, the data are approximately normally distributed

Column1 Mean 49.2 Standard Error 7.399399375 Median 47.5 Mode #N/A Standard Deviation 23.39895534 Sample Variance 547.5111111 Kurtosis 0.203097404 Skewness 0.560614153 Range 78 Minimum 16 Maximum 94 Sum 492 Count 10


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