Do not alter the desktop settings, the screensaver, change color schemes, nor add nor delete panels to the computer desktop!

Required Textbook:
Elementary Statistics Using Excel. Triola
 Statistics office hours:
1:00 P.M. to 3:30 P.M. Monday, Friday; 10:00  11:30 Tuesday, Thursday; or by appointment, walkins welcome!
Instructor: Dana Lee Ling.
Email: dleeling@comfsm.fm
cc: dana@mail.fm
Web site:
http://www.comfsm.fm/~dleeling/statistics/statistics.html
Work: 3202480 extension 228 / Home phone: 3202962.
 Attendance:
Seven absences results in withdrawal from the course. A late is one third of an absence.
Thus any combination of absences and lates that adds to seven will result in withdrawal.
For example, twentyone lates would result in withdrawal.
 No betelnut in class nor on campus except in the cultural huts.
No spitting over the balcony!
 Quizzes are given every Friday that there is not a test.
Quizzes and tests can and do occur on a Wednesday wherein Friday is a holiday.
 Grading policy:
Homework is worth 1 to 3 points.
Quizzes are worth on the order of 5 to 10 points each.
Tests are worth on the order of 20 points.
The midterm is worth roughly 40 points.
The final is worth up to roughly 60 points.
The term as a whole will generate some 200 plus points.
Grading is based on the standard College policy: Obtain 90% of the points or more to
obtain an A, 80% to 89% for a B, and so forth.
Points map to student learning outcomes via questions on publicly published
quizzes, tests, and examinations wherein each question can be linked back
to a course or program learning outcome. For further information refer to
the student learning outcomes nexus:
http://www.comfsm.fm/~dleeling/department/nexus.html
and the statistics outline:
http://www.comfsm.fm/~dleeling/department/ms150.html
 Academic Honesty Policy: Cheating on an assignment, quiz, test, midterm, or final will result in a score of zero for that assignment, quiz, or examination. Due to our cramped quarters, the course operates by necessity on a system of personal integrity and honor.
 Course student learning outcomes assessment: Based on item analysis of final examination aligned to the outline. During term student assessment occurs at the end of each week, see above.
Course Description: A semester course designed as an introduction to the basic ideas of data presentation, descriptive statistics, linear regression, and inferential statistics including confidence intervals and hypothesis testing. Basic concepts are studied using applications from education, business, social science, and the natural sciences. The course incorporates the use of a computer spreadsheet package for both data analysis and presentation. The course is intended to be taught in a computer laboratory environment.
 General Objectives
Students will be able to:
 Calculate basic statistics (define, calculate)
 Represent data sets using histograms (define, calculate, estimate, represent)
 Solve problems using normal curve and tstatistic distributions including confidence intervals for means and hypothesis testing (define, calculate, solve, interpret)
 Determine and interpret pvalues (calculate, interpret)
 Perform a linear regression and make inferences based on the results (define, calculate, solve, interpret)
 Specific Objectives
Students will be able to:
Given one variable data and the use of a calculator or spreadsheet software on a computer
 Calculate basic statistics
 Distinguish between a population and a sample (define)
 Distinguish between a statistic and a parameter (define)
 Identify different levels of measurement when presented with nominal,
ordinal, interval, and ratio data. (define)
 Determine a sample size (calculate)
 Determine a sample minimum (calculate)
 Determine a sample maximum (calculate)
 Calculate a sample range (calculate)
 Determine a sample mode (calculate)
 Determine a sample median (calculate)
 Calculate a sample mean (calculate)
 Calculate a sample standard deviation (calculate)
 Calculate a sample coefficient of variation (calculate)
 Represent data sets using histograms
 Calculate a class width given a number of desired classes (calculate)
 Determine class upper limits based on the sample minimum and class width (calculate)
 Calculate the frequencies (calculate)
 Calculate the relative frequencies (probabilities) (calculate)
 Create a frequency histogram based on calculated class widths and frequencies (represent)
 Create a relative frequency histogram based on calculated class
widths and frequencies (represent)
 Identify the shape of a distribution as being symmetrical,
uniform, bimodal, skewed right, skewed left, or normally symmetric. (define)
 Estimate a mean from class upper limits and relative frequencies
using the formula ∑x*P(x)
here the probability P(x) is the relative frequency. (estimate)
 Solve problems using normal curve and tstatistic distributions including confidence intervals for means and hypothesis testing
 Discover the normal curve through a coursewide effort involving
tossing seven pennies and generating a histogram from the inclass
experiment. (develop)
 Identify by characteristics normal curves from a set of normal and
nonnormal graphs of lines. (define)
 Determine a point estimate for the population mean based on the
sample mean (calculate)
 Calculate a zcritical value from a confidence level (calculate)
 Calculate a tcritical value from a confidence level and the sample
size (calculate)
 Calculate an error tolerance from a tcritical, a sample standard
deviation, and a sample size. (calculate)
 Solve for a confidence interval based on a confidence level, the
associated zcritical, a sample standard deviation, and a sample size
where the sample size is equal or greater than 30. (solve)
 Solve for a confidence interval based on a confidence level, the
associated tcritical, a sample standard deviation, and a sample size
where the sample size is less than 30. (solve)
 Use a confidence interval to determine if the mean of a new sample places
the new data within the confidence interval or is statistically significantly
different. (interpret)
 Determine and interpret pvalues
 Calculate the twotailed pvalue using a sample mean,
sample standard deviation, sample size, and expected population mean to
to generate a tstatistic. (calculate)
 Infer from a pvalue the largest confidence interval for which a change
is not significant. (interpret)
Given two variable data and the use of
spreadsheet software on a computer
 Perform a linear regression and make inferences based on the results
 Identify the sign of a least squares line: positive, negative, or zero. (Define)
 Calculate the slope of the least squares line. (Calculate)
 Calculate the intercept of the least squares line. (Calculate)
 Solve for a y value given an x value and the slope and intercept
of a least squares line. (Solve)
 Solve for a x value given an y value and the slope and intercept
of a least squares line. (Solve)
 Calculate the correlation coefficient r. (Calculate)
 Use a correlation coefficient r to render a judgment as to whether a correlation is perfect, high, moderate, low, or none. (Interpret)
 Calculate the coefficient of determination rē. (Calculate)
Course Intentions
 Use of spreadsheets and spreadsheet functions throughout the course as opposed to using dedicated statistics software package. Spreadsheets will be the desktop software most widely available to MS 150 students both while taking the course and, more importantly, in the workplace postgraduation.
 Use of realworld data, examples, and problems to the extent appropriate and possible.