We are asked to find the probability that a data value in a normal distribution is between a z-score of -1.32 and a z-score of -0.34.
The probability of a data score between two z-scores is given by formula [tex]P(a<z<b)=P(z<b)-P(z<a)[/tex].
Using above formula, we will get:
[tex]P(-1.32<z<-0.34)=P(z<-0.34)-P(z<-1.32)[/tex]
Now we will use normal distribution table to find probability corresponding to both z-scores as:
[tex]P(-1.32<z<-0.34)=0.36693-0.09342[/tex]
[tex]P(-1.32<z<-0.34)=0.27351[/tex]
Now we will convert [tex]0.27351[/tex] into percentage as:
[tex]0.27351\times 100\%=27.351\%[/tex]
Upon rounding to nearest tenth of percent, we will get:
[tex]27.351\%\approx 27.4\%[/tex]
Therefore, our required probability is 27.4% and option C is the correct choice.