In: Statistics and Probability
The earth's temperature can be measured using ground-based sensoring which is accurate but tedious, or infrared-sensoring which appears to introduce a bias into the temperature readings—that is, the average temperature reading may not be equal to the average obtained by ground-based sensoring. To determine the bias, readings were obtained at five different locations using both ground- and air-based temperature sensors. The readings (in degrees Celsius) are listed here.
Location | Ground | Air |
---|---|---|
1 | 46.8 | 47.5 |
2 | 45.5 | 48.3 |
3 | 36.2 | 37.7 |
4 | 31.1 | 32.9 |
5 | 24.6 | 26.0 |
State the test statistic. (Round your answer to three decimal places.)
t =
State the rejection region. (If the test is one-tailed, enter NONE for the unused region. Round your answers to three decimal places.)
t | > | |
t | < |
Estimate the difference in mean temperatures (in degrees Celsius) between ground- and air-based sensors using a 95% confidence interval. (Use μground − μair. Round your answers to three decimal places.)
? °C to ? °C
How many paired observations are required to estimate the difference between mean temperatures for ground- versus air-based sensors correct to within 0.2°C, with probability approximately equal to 0.95? (Base your margin of error on a z critical value. Round your answer up to the nearest whole number.)
? paired observations
from above:
test statistic t = -4.803
t> 2.776
t< -2.776
for 95% CI; and 4 degree of freedom, value of t= | 2.776 | ||
therefore confidence interval=sample mean -/+ t*std error | |||
margin of errror =t*std error= | 0.948 | ||
lower confidence limit = | -2.5881 | ||
upper confidence limit = | -0.6919 | ||
from above 95% confidence interval for population mean =(-2.588 to -0.692) | |||
c)
for95% CI crtiical Z = | 1.960 | |
standard deviation σ= | 0.764 | |
margin of error E = | 0.2 | |
required sample size n=(zσ/E)2 = | 56 |