Math 210
Laboratory 13
Inference for the Mean of a Population
- For the first part of this lab you will estimate the mean age
of pennies. In 2001, a number pennies were
collected and the dates were recorded. These dates can be found here.
- Graph the penny data in a histogram and describe its
shape. (Graph >
Histogram > Simple)
- Find the sample mean and standard deviation. (Stat > Basic
Statistics > Display Descriptive Statistics)
- Find a 95% confidence interval for the population mean for the
data set. (Stat > Basic
Statistics > 1-Sample t)
- Given the shape of the distribution and the size of the sample,
explain
if it is appropriate to use the t-procedures on the data. Explain
this so I know the you understand how size and shape affect the use of
the t-procedures.
- What is the standard error of the mean for this data set?
- For the next part of the lab, we will look at weights of
coffee.
Ten samples of 0.5 pound bags of hazelnut coffee from a local coffee
house
were weighed. The results, in pounds, are as follows.
0.48, 0.51, 0.47, 0.49, 0.49, 0.50, 0.52, 0.48, 0.49, 0.51
- Find the sample mean and standard deviation for the coffee data.
- Using the coffee data, determine if the population mean of all
hazelnut
coffee has a mean weight less than the label weight of 0.5
pounds.
Report the hypotheses, P-value, and conclusion (write the conclusion
out in words using no symbols.) (Stat > Basic
Statistics > 1-Sample t. Put in 0.5 for the Test Mean, click
on options and choose the appropriate alternative hypothesis.)
- For the final part of the lab, we will look at test grades of 46
statistics
students for test 2 and test 3. These scores can be found here.
- Find the means for both tests.
- Subtract the scores for test 2 from the scores for test
3.
(Calc > Calculator.) This
will
give the increase in score from test 2 to test 3. Use this
difference
to complete a match pair test to see if scores for test 3, in general,
are higher than those for test 2. Report the hypotheses, P-value,
and conclusion (write the conclusion out in words using no symbols.)