Part 1:
The z-score of a value, a, given the mean, μ, and the standard deviation, σ, is given by

Thus, given that t<span>he
average cost per ounce for glass cleaner is 7.7 cents with a standard
deviation of 2.5 cents.
The z-score of glass cleaner with a cost
of 10.1 cents per ounce is given by

Part 2:
Assuming the data is normally distribution, the probability that a normally distributed data is between two values a and b is given by

Thus, given that a</span><span> candy bar takes an average of 3.4 hours to move through an assembly line and that the standard deviation is 0.5 hours</span><span>.
The probability </span>that the candy bar will take between 3 and 4 hours to move through the line is given by

Part 3
Given that t<span>he
average noise level in a diner is 30 decibels with a standard deviation
of 4 decibels.
The value for which the noice level is below 99% of the time</span> is the value for which the probability that the noice level is below that value is 0.99.
<span>Assuming the data is normally distribution, the probability that a
normally distributed data is less than a value, a, is given by

Thus, given that </span>t<span>he
average noise level in a diner is 30 decibels with a standard deviation
of 4 decibels.
The value for which 99% of the time, the noise level is below is obtained as follows:

Note: there is standard deviation value was omitted in the question post but I used 4 as my standard deviation. So you can substitute the appropriate standard deviation for you question.
Part 4:
From the empirical rule, it is known that for a normally distributed data that 95% of the data are within 2 standard deviations.
Thus, given that t</span><span>he mean income per household in a certain state is $29,500 with a standard deviation of $5,750.
The values between which 95% of the incomes lies is obtained as follows:

</span>