MATH 1040 - Introduction to Statistics (MA)

Description
Fulfills General Education Mathematics requirement for students majoring in Communications, Social & Behavioral Sciences, Fine Arts, Liberal Arts, or Exercise Science. Introduction to basic concepts and methods used in statistical data analysis, includes descriptive statistics, sampling, and inferential methods while emphasizing problem solving and critical thinking. Data comparisons such as t-tests and ANOVA will also be covered. StatCrunch is used to perform statistical calculations, organize and analyze data, and construct graphs. Required for Utah Level 2 Math Endorsement. Students are cautioned to check degree and/or transfer requirements before taking this course. A $95 Inclusive Access Course Material fee applies to this course. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Define statistics and think statistically; distinguish between population and sample, parameter and statistic, qualitative and quantitative variables, discrete and continuous variables. 2. Organize and summarize qualitative and quantitative date using different display methods including frequency/relative frequency distribution, bar graph, pie chart, histogram, and stem-and-leaf etc.; Compute and interpret descriptive statistics, including mean, median, mode, standard deviation, and five number summary with box plot. 3. Draw and interpret scatter diagrams; compute and interpret linear correlation coefficient; find and interpret the least-squares regression line and use the line to make predictions. 4. Identify sample space and events of a probability experiment; apply probability rules including addition rule and multiplication rule; identify mutually exclusive events and independent events; solve counting problems including multiplication rule, permutation and combination; Interpret probability distributions including binomial distribution, uniform distribution and normal distribution. 5. Describe sampling distribution of sample mean and sample proportion; Construct and interpret confidence interval for population proportion, population mean and population standard deviation. 6. Test hypotheses about one sample and two samples population proportion, population mean and population standard deviation using both classical approach and p-value approach; Perform goodness-of-fit test for distributions and one-way ANOVA test for three or more means. Course fee required. Prerequisite: MATH 0980 or MATH 1000 or MATH 1010 (Grade C or higher), MATH 0980 recommended, or ACT math score of 22 or higher, or equivalent placement score within two years of enrollment in this course.   FA, SP, SU
Credits
3
Attributes
Mathematics
Recent Professors
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Recent Semesters
Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017
Offered
MW, TuTh, MWF
Avg. Class Size
39
Avg. Sections
12