| Applets
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This lab shows how Minitab
can be used to display graphically and describe numerically both
categorical and quantitative data.
Stem-and-leaf diagrams and histograms are made using state averages for teacher salaries and SAT scores. Pie charts are also used to display Girl Scout Cookie data. This lab is the same as
Lab 2 except measures of center and spread are also included.
Do the heights of students form an approximately normal distribution? This question is answered using histograms, the 68-95-99.7 rule, and normal probability plots. Are birth dates distributed evenly throughout the year? Are they distributed evenly throughout the week? These questions are answered by making and interpreting a number of scatterplots made from a couple of large data sets. Two data sets, the heights of Robert Wadlow over time and the world record times for the mile run over time, are used to find linear regression equations and correlation. We will look
to see if there is a
relationship between gender and rank of the professors at Hope College.
Using simulated data,
based on a
student project, we investigate the relationship between drinking
coffee and smoking cigarettes.
Minitab is used to
come up with random data from Bernoulli trials. Repeated
Bernoulli trials are also taken and statistics from the data are
compared with theoretical parameters.
Three different
scenarios are used to explore binomial distributions. Minitab is
used to produced random data and statistics from these experiments are
compared with theoretical parameters.
Samples from
normal
distributions and non-normal distributions are taken to form
approximate
sampling distributions. Statistics from these distributions are
compared
with theoretical parameters. An applet is also used to determine
how
sample size affects sampling.
Using weights of
newborns and the duration time for eruptions of the Old Faithful
Geyser, confidence intervals for means are constructed. An
applet is also used to
determine how sample size affects the width and the preciseness of the
confidence intervals.
Using years of
pennies, weights of coffee, and test scores, a confidence interval, a
one-sample
t-test, and a matched pairs test are done.
One-sample t-tests are
done on body temperature and coffee weights. A one-sample
proportion test is done on hand washing.
Two-sample
t-tests
are performed using test scores and heights of children.
This is a combination of
Labs 13 and 15. It covers both inference for a single mean and
inference for two means.
A test of significance is done to compare duct tape treatment to cryotherapy to get rid of common warts. Data showing the proportion of boys born to smokers and nonsmokers is examined and compared using confidence intervals. This lab is a combination
of labs 15 and 17.
A chi-squared test is used to determine if there is a relationship between heart disease and baldness. An applet is also used to sample from a bag of colored marbles so a chi-squared goodness of fit test can be done. A chi-squared
test
is
used to determine if there is a relationship between heart disease and
baldness. A
chi-squared
goodness of fit test is used to determine if an electronic hand-held
Yahtzee game gives
and even distribution of numbers when the simulated dice are tossed.
A chi-squared test is used to determine if an electronic hand-held Yahtzee game gives and even distribution of numbers when the simulated dice are tossed. The linear
relationship between the duration of the eruption and the time between
eruptions of the Old Faithful Geyser in Yellowstone National Park is
examined.
An ANOVA test is performed to determine if there is a relationship between the size of a cuckoo's egg and the type of nest where it was laid. This lab is a combination
of labs 18, 20, and 21.
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