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# MATH 101 - Applications of Algebra for Vocational-Technical Students

5 credits

Prerequisites
A grade of “C-” or better in MATH 070 , or placement in MATH 097  or higher.

This is a non-transferable course designed to expose vocational students to mathematical concepts in the context of applications. Topics will include linear and exponential models, financial mathematics, and descriptive statistics. This course satisfies the mathematics requirement for some vocational-technical programs; however, it does not satisfy the quantitative reasoning skills requirement for an AA degree and does not serve as a prerequisite to any other math course.

Theory Hours
5 theory hours.

Vocational Program Course
Vocational program course.

AA General Elective
May be used as a general elective for the AA degree.

Course Outcomes
• Increase a quantity by a given percentage
• Solve exponential growth problems
• Solve compound interest problems
• Calculate annual percentage yield
• Decrease a quantity by a given percentage
• Apply exponential decay models
• Solve half-life problems
• Solve ordinary annuity problems
• Use a table to track the amount of a drug in the blood stream with periodic dosing
• Use a formula to find the amount of a drug in the blood stream after a given number of periodic doses.
• Solve problems involving the loan amortization formula
• Create an amortization schedule
• Use a formula to find the unpaid balance on an amortized loan after a given number of payments
• Construct a dotplot
• Calculate the mean, median, and mode for a set of values
• Calculate a sample proportion
• Calculate the margin of error for estimating a population proportion
• Interpret the meaning of a confidence interval for estimating a population proportion
• Construct a confidence interval for estimating a population proportion
• Interpret a confidence interval for estimating a population proportion
• Find the standard deviation of a set of values
• Calculate the margin of error for estimating a population mean
• Interpret the margin of error for estimating a population mean
• Construct a confidence interval for estimating a population mean
• Interpret a confidence interval for estimating a population mean
• Construct a scatterplot
• Identify the strength and direction of a correlation from a scatterplot
• Use a regression equation to make predictions