Here is your (discrete) data

101	220	162	259	178	130	78	183
177	173	166	134	78	169	177	188
111	174	122	139	191	172	177	172
218	125	341	60	156	174	210	155
132	102	166	203	152	180	172	161
84	189	142	100	209	189	165	190
171	130	76	139	114	198	116	190
162	114	122	133	95	131	179	86
115	145	193	165	125	180	149	152
136	204	169	73	253	190	141	63

First, sort the data.
Second, build a GFDT for this table with a classwidth of 25.
(Be sure your lower class limits are multiples of the classwidth.)
Next, answer the following questions about the data set:
1. What is the first lower class limit in your GFDT (given the classwidth of 25)?
2. Express the sixth class as a closed interval, i.e., $\displaystyle {\left[{a},{b}\right]}$.
3. Give the frequency for the sixth class.
4. What is the (arithmetic) mean for this data (report accurate to one decimal place)?
5. Using the GFDT, what is the mode for this data set (use the appropriate definition for mode)?
6. What is the standard deviation for this data (report accurate to two decimal places)?
7. What is the five number summary for this data set (separate numbers with a comma)?
8. What is the IQR?
9. What usual score (i.e., non-outlier) has the largest positive z-score less than $\displaystyle {z}={2}$? (Give the data value, not the z-score.)
10. Give the fences---this would suggest something other than z-scores---for the mild outliers at the maximal end of the data set; report as a closed interval, i.e., [upper mild fence, upper extreme fence].