Catalog Description - Elementary Statistics - Lecture Notes | STA 2023, Study notes of Statistics

Material Type: Notes; Class: Elementary Statistics; Subject: STA, Statistics; University: Manatee Community College; Term: Spring 2002;

Typology: Study notes

Pre 2010

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STA 2023 – ELEMENTARY STATISTICS
Catalog Description:
STA 2023 Elementary Statistics (3) (AA). Three hours lecture per week. Prerequisite:
MAT 1033 or equivalent. This course meets Area II requirements for both AA
General Education Requirements and AS General Education Requirements. This
course is a study of fundamental statistical topics including normal and binomial
distributions, measures of central tendency and variation, confidence interval, hypothesis
testing, sampling techniques, simple linear regression, correlation and nonparametrics.
Performance Standards:
Upon successful completion of this course, the student will be able to:
1. Determine appropriate uses of basic charts and graphs, stem-and-leaf plots, and
box plots.
2. Enter data, operate and produce outputs from a prescribed statistical software
package.
3. Compute the mean, median, mode, range, variance and standard deviation from a
given sample or population.
4. Compute probability problems involving addition and multiplication rule,
binomial probability formula, permutations and combinations.
5. Differentiate between discrete and continuous variables and their level of
measurement.
6. Differentiate between binomial and normal probability distributions.
7. Convert given scores to standard scores and compute probabilities.
8. Compute sample size needed for specified accuracy.
9. State proper sampling procedures.
10. State the Empirical Rule and the Central Limit Theorem.
11. Cite proper procedures for statistical testing of hypotheses.
12. Compute interval and point estimates using z-statistic and t-statistic.
13. Compute z-statistic and t-statistic to test for significance.
14. Compute confidence intervals for one mean or proportion.
15. Determine whether two population means, or proportions are equal.
16. Determine the strength of a linear relationship between two variables.
17. Determine the equation of the linear regression line for two variables.
18. Test claims about the independence of two categorical variables using
contingency tables.
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STA 2023 – ELEMENTARY STATISTICS

Catalog Description: STA 2023 Elementary Statistics (3) (AA). Three hours lecture per week. Prerequisite: MAT 1033 or equivalent. This course meets Area II requirements for both AA General Education Requirements and AS General Education Requirements. This course is a study of fundamental statistical topics including normal and binomial distributions, measures of central tendency and variation, confidence interval, hypothesis testing, sampling techniques, simple linear regression, correlation and nonparametrics. Performance Standards: Upon successful completion of this course, the student will be able to:

  1. Determine appropriate uses of basic charts and graphs, stem-and-leaf plots, and box plots.
  2. Enter data, operate and produce outputs from a prescribed statistical software package.
  3. Compute the mean, median, mode, range, variance and standard deviation from a given sample or population.
  4. Compute probability problems involving addition and multiplication rule, binomial probability formula, permutations and combinations.
  5. Differentiate between discrete and continuous variables and their level of measurement.
  6. Differentiate between binomial and normal probability distributions.
  7. Convert given scores to standard scores and compute probabilities.
  8. Compute sample size needed for specified accuracy.
  9. State proper sampling procedures.
  10. State the Empirical Rule and the Central Limit Theorem.
  11. Cite proper procedures for statistical testing of hypotheses.
  12. Compute interval and point estimates using z-statistic and t-statistic.
  13. Compute z-statistic and t-statistic to test for significance.
  14. Compute confidence intervals for one mean or proportion.
  15. Determine whether two population means, or proportions are equal.
  16. Determine the strength of a linear relationship between two variables.
  17. Determine the equation of the linear regression line for two variables.
  18. Test claims about the independence of two categorical variables using contingency tables.

STA 2023

  1. Define nonparametric statistics.
  2. Understand differences between parametric and nonparametric statistics. Date of Last Revision: April 1, 2002 2