
Following is the - complete Answer -&- Explanation: for the given: Question: in...typed format...
Answer:'
Concentration of Unknown:( when potential = 176 mV ) = 0.000591562 M ( mol/L )
i.e. as the table shown below, under Explanation, and under : Answer. below...
Explanation:
Following is the complete Explanation: for the above Answer.
Following is the given: data set, in the form of a table: prepared by using MS Excel, presented in ...image format...

Note:
The above table, gives the values of the
potential ( in milli-volt, mV ) and the
corresponding, concentrations: of the
first solution: to the seventh
solution, as given: in...image
format...
Now,
we will have to make a calibration curve, i.e.
make a graph: of Potential ( mV ) vs.
Concentration ( mol/L ) of the given solutions, to
determine the : linear equation of the TrendLine,
and then use the Equation: to find the value of
the : Concentration: of the 3rd
solution: with given Potential ( 176 mV )
...
Using the above, table, we will have to take logaritms: of the given concentrations: to modify the above table: as required:
Now, if we plot: the potential ( mV ) vs. log10 [conc. ] , based on the above table; we will get the following graph, prepared using MS Excel, presented here in......image format...

Linear
equation of : TrendLine: is... y =
-35.42 x + 61.66 -----------------Equation -
1
Where:
Now, if we plug-in: y = 176, in the above : Equation - 1, we will get the following value:
i.e.
x = Log10 (conc.)
= - 3.228 , i.e. when the
potential = 176 mV
If we take the anti-log: of the above value of ' x ', we would get the following, concentration:
i.e.
anti-log10 ( x ) = 10-3.228
= 5.9156 x 10-4 M ( mol/L )
= concentration...
Therefore, the following table: prepared by using MS Excel, presented in...image format...will be our Answer...

As
we have found above: the concentration, when the
value of : potential = 176 mV , will be the
following:
Concentration
of Unknown:( when potential = 176 mV ) =
0.000591562 M ( mol/L )
determine the comcentration for all solutions. Solution: Potential: 102M 82 mV 10-'M 134 mV 104M 190...
Potential (mV) [Br](M) 0.300 Calibration data for a bromide ion-selective electrode (ISE) was collected and recorded in the table. The potential of the ISE was measured against a saturated calomel electrode (SCE). All solutions were buffered at a pH of 7.56. A linear calibration curve can be constructed from this data as a plot of potential (in mV) vs. pBr. Determine the slope and y-intercept of such a plot of the calibration data given. -21.2 0.0300 36.2 95.7 0.00300 0.000300...
Calculate the concentrations for the values with an asterisk
beside them.
Solution: Potential: 10-4M 26 mV 10-2M 68 mV 10-3M 111 mV 10-4M 163 mV 10-SM 210 mV 10-M 254 mV Unexpired (Beginning of Tube) 107 mV* Unexpired (End of Tube) 108 mV* Expired (Beginning of Tube) 104 mV* Expired (End of Tube) 112 mV* 68 111 163 210 254 Calibration Curve -7 -6 -5 -4 -3 -2 -1 0
33 On May 6, Jim Ryan borrowed $14,000 from Lane Bank at 7 % interest. Jim plans to repay the loan on March 11. Assume the loan is on ordinary interest. How much will Jim repay on March 11? (Use Days in a year table) (Round your answer to the nearest cent.) Jm repay etbook 7-1 TABLE Exact days-in-a-year calendar (excluding leap year)" Day of month 30 31 30 31 28 31 30 31 31 30 31 31 Dec Mar...
i have also attached the solutions.
could you please explain step by step what they are doing.
especially the bit in part (a) where they do x/d
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Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
I have to find each word...
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others that follow are zoomed in sections):
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others that follow...
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