STAT- Statistics

STAT243Z Elementary Statistics I (Course offered online)

Credits 4Summer/Fall/Winter/Spring

Registration Requirement: RD090 and WR090, or IECC201R and IECC201W; and MTH105/MTH105Z or MTH111/MTH111Z; each with a grade of "C" or better.

A first course in statistics focusing on the interpretation and communication of statistical concepts. Introduces exploratory data analysis, descriptive statistics, sampling methods and distributions, point and interval estimates, hypothesis tests for means and proportions, and elements of probability and correlation. Technology will be used when appropriate.

Additional Course Fee: $6.00

This course fulfills: Non-Lab Science

View Course Outcomes:

  1. Critically read, interpret, report, and communicate the results of a statistical study along with evaluating assumptions, potential for bias, scope, and limitations of statistical inference.\\n
  2. Produce and interpret summaries of numerical and categorical data as well as appropriate graphical and/or tabular representations.\\n
  3. Use the distribution of sample statistics to quantify uncertainty and apply the basic concepts of probability into statistical arguments.\\n
  4. Identify, conduct, and interpret appropriate parametric hypothesis tests.\\n
  5. Assess relationships in quantitative bivariate data.

STAT244 Elementary Statistics II

Credits 4Summer/Fall/Winter/Spring

Registration Requirement: RD090 and WR090, or IECC201R and IECC201W; and MTH243/STAT243Z; each with a grade of "C" or better; or placement above stated course levels.

This course gives a deeper look into inferential statistics; including formal construction of confidence intervals & hypothesis tests of one and two populations, Analysis of Variance, goodness-of-fit & contingency tables, linear regression & prediction intervals for bivariate data, data collection techniques & experimental design, probability theory using contingency tables normal distributions, and discrete & binomial probability distributions. Computer software experience is provided. A culminating project, in which students gather samples, make inferences regarding populations & present their findings is required. Use of actual data & interpretation of statistical results are emphasized.

Additional Course Fee: $6.00

This course fulfills: Non-Lab Science

View Course Outcomes:

  1. Conduct formal hypothesis tests for means, proportions, difference of means and difference of proportions
  2. Construct and interpret formal confidence intervals for means, proportions, difference of means and difference of proportions
  3. Create and deliver a statistical report including graphical representations of data, analysis of possible sources of bias in sampling, an examination of statistical significance and a conclusion
  4. Create probability distributions for binomial random variables and use them to calculate probabilities
  5. Design and implement a statistical experiment to explore a causal association between two or more variables
  6. Evaluate simple, compound, and conditional probability statements using two-way tables
  7. Perform hypothesis tests for multiple parameters using the chi-square distribution (categorical parameters) or ANOVA (numerical parameters)
  8. Use formal theory to calculate Standard Error for the sample mean, sample proportion, difference of sample means, difference of sample proportions and sample correlation coefficient
  9. Use formulas to find the mean and standard deviation of binomial distributions
  10. Use technology to calculate probabilities and percentile values for normal and t-distributions
  11. Use technology to determine a least squares regression line. Determine a prediction interval for the response variable at any point along that line
  12. Use technology to perform linear regression for multiple variables

Course fees are subject to change. Additional section fees (web, hybrid, etc.) may apply.

Online option regularly offered

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