You have a pandas dataframe named "surv"containing columns of numeric data collected from a survey before modeling, you choose to scale every variable (column) stored in the dataframe. you decide that each variable should be bounded between 0 and 1 (inclusive). this way, if you see a value close to o, you know it's a low value relative to the other values in that column without needing to know the range of values in the column. select the appropriate code snippet to scale every variable (column) stored in the dataframe: a. surv/ surv. max ()b. surv- surv. min()/(surv. max() - surv. min() c. (surv - surv. / surv. mean()d. (surv- surv. max()/(surv. max() - surv. min()e. surv. quantile([0, 1]) f. (surv- surv./(surv. max() - surv.

Amass of m 1.5 kg of steam is contained in a closed rigid container. initially the pressure and temperature of the steam are: p 1.5 mpa and t 240°c (superheated state), respectively. then the temperature drops to t2= 100°c as the result of heat transfer to the surroundings. determine: a) quality of the steam at the end of the process, b) heat transfer with the surroundings. for: p1.5 mpa and t 240°c: enthalpy of superheated vapour is 2900 kj/kg, specific volume of superheated vapour is 0. 1483 m/kg, while for t 100°c: enthalpy of saturated liquid water is 419kj/kg, specific volume of saturated liquid water is 0.001043m/kg, enthalpy of saturated vapour is 2676 kj/kg, specific volume of saturated vapour is 1.672 m/kg and pressure is 0.1 mpa.

If the thermal strain developed in polyimide film during deposition is given as 0.0044. assume room temperature is kept at 17.3 c, and thermal coefficient of expansion for the film and the substrate are 54 x 10^-6c^-1 and 3.3 x 10^-6c^-1respectively. calculate the deposition temperature.

Heat is added to a piston-cylinder device filled with 2 kg of air to raise its temperature 400 c from an initial temperature of t1 27 cand pressure of pi 1 mpa. the process is isobaric process. find a)-the final pressure p2 b)-the heat transfer to the air.