Refer to the Scheer Industries example in Section 8.2. Use 6.83 days as a planning value for the population standard deviation. a. Assuming 95% confidence, what sample size would be required to obtain a margin of error of 1 days (round up to the next whole number)?
b. Assuming 90% confidence, what sample size would be required to obtain a margin of error of 2.5 days (round up to the next whole number)?

a)Sample size  would be required to obtain a margin of error of 1 days is

n = 179

b) sample size would be required to obtain a margin of error of 2.5 days is n = 20

Step-by-step explanation:

step(i):-

Given Population standard deviation  = 6.83 days

a) Given margin of error = 1 day

The margin of error is determined by

Step(ii):-

Given 95 % of confidence level

Now the critical value Z₀.₀₅ = 1.96

√n = 13.38

Squaring on both sides, we get

n =  179.206

b)

step(i):-

a) Given margin of error = 2.5 day

The margin of error is determined by

Step(ii):-

Given 90 % of confidence level

Now the critical value Z₀.₁₀ = 1.645

Cross multiplication , we get

√n   = 4.494

Squaring on both sides, we get

n = 20.19

Final answer:-

a)Sample size  would be required to obtain a margin of error of 1 days is

n = 179

b) sample size would be required to obtain a margin of error of 2.5 days is n = 20

fahrenheit

step-by-step explanation:

fahrenheit is more precise than celsius. the ambient temperature on most of the inhabited world ranges from -20 degrees fahrenheit to 110 degrees fahrenheit—a 130-degree range. on the celsius scale, that range is from -28.8 degrees to 43.3 degrees—a 72.1-degree range. this means that you can get a more exact measurement of the air temperature using fahrenheit because it uses almost twice the scale.

17.08

correct me if i am wrong.