Nov 21, 2019
MATH 1025 - Statistics Credits: 4
Hours/Week: Lecture 4Lab None
Course Description: This course is an algebra-based statistics course that introduces the basic concepts involved in collecting, analyzing, and interpreting data. Topics include graphs, frequency distributions, measures of central tendency and variation, probability, probability distributions, expected value, sampling distributions, normal distribution, confidence intervals, hypothesis testing for one and two population means and proportions, chi square, linear regression, and correlation. This course includes analysis and interpretation of data using the Minitab software package and using the TI-83/TI-84 calculator. Students are required to have a TI-83 or a TI-84 calculator. MnTC Goal 4
4 Mathematics/Logical Reasoning
Prerequisite(s): Assessment score placement in MATH 1025 or higher, or MATH 0060 with a grade of C or higher, or MATH 0070 with a grade of C or higher, or MATH 1030 or above with a grade of C or higher.
Recommendation: Assessment score placement in RDNG 1000 or completion of RDNG 0900 or RDNG 0950 with a grade of C or higher.
- Organization of Data
- tables and graphs
- frequency distributions
- Linear Regression and Correlation
- Central Tendency
- Probability Distributions
- Sampling Distributions
- Confidence Intervals
- Hypothesis Testing
At the end of this course students will be able to:
- Demonstrate critical and logical reasoning when solving problems.
- Analyze and interpret data using technology, including the TI-83 calculator and Minitab software.
- Communicate clearly a problem¿s solution and its explanation for the intended audience in terms of the problem posed.
- Organize and interpret data using graphs, frequency distributions, and measures of central tendency.
- Calculate probabilities of simple and compound events.
- Analyze probability distributions, including binomial, normal, chi-square, and students t-distributions.
- Apply statistical methods to normal distributions.
- Compute and interpret confidence intervals for one and two population means and proportions.
- Test hypotheses for one and two population means and proportions.
- Perform chi-square claims tests and tests of independence.
- Apply simple linear regression and correlation techniques.
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