Consider the following data. The summary statistics, histogram, and normal quantile plot were generated by Minitab. 27 27 27 28 28 28 28 29 29 29 29 29 29 29 30 30 30 30 30 30 30 30 30 30 31 31 31 31 32 32 32 32 33 33 34 34 Normal Quantile Plot Histogram (normal) 34 - 12- 33 + Mean 30.16 St Dev 1.811 32 . . . 10- N 50 31 + 8 - 30 - 6 - 20 28 + 2 27 26 28 30 32 34 26 Variab Mean SE N N* St.Dev le 30.16 Mean 50 1 . 811 Data 0 0.256 Minim Media Maxim Variab 01 03 um le 29.00 31.00 27.00 30.00 34.00 Data 0 0 (a) Does the histogram indicate normality for the data distribution? Explain. C Yes, we observe a uniform, symmetric distribution. "- No, we observe a bell-shaped, skewed distribution. No, we observe a uniform, skewed distribution. . Yes, we observe a bell-shaped, symmetric distribution. (b) Does the normal quantile plot indicate normality for the data distribution? Explain. No, the points fall approximately on a straight line. . Yes, the points do not fall on a straight line " No, the points do not fall on a straight line. "- Yes, the points fall approximately on a straight line. (c) Compute the interquartile range. Check for outliers. C There is one outlier. There are no outliers. C There are no outliers, but two data points fall exactly on the boundary. " - There are two outliers