# Statistics

Syllabus

Schedule

REVIEW TEST 1

REVIEW TEST 2

REVIEW TEST 3

LECTURE NOTES

Notes

Model

Exercises

1.  Introduction in StatisticsME 1
2.  Frequency DistributionME 3
3.  HistogramME 4
4.  Statistical GraphicsME 5
5.  Measures of CenterME 6
6.  Measure of VariationME 7
7. Measures of Relative Standing and BoxplotME 8
8. Basic Concepts of ProbabilityME 9
10. Multiplication RuleME 11
11. CountingME 12
12. Random VariablesME 13
13. Binomial Probability DistributionME 14
14. Parameters For Binomial DistributionME 15
15. The Standard Normal DistributionME 16
16. Application of Normal Distribution ME 17
17. Estimating a Population ProportionME 18
18. Estimating a Population Mean IME 19
19. Estimating a population Mean IIME 20
20. Estimating a Population VarianceME 21
21. Basics Of Hypothesis TestingME 22
22. Testing a Claim About a PopulationME 23
23. Testing a Claim About a Mean ME 24
24. Testing a Claim About a Standard   ME 25

Course Outcomes

Outcomes

Model

Exercises

Practice

Exercises

Identify non-randomness in a sampling technique
Describe the center of a data set using the measures of mean, median, and mode
Measure the dispersion of a data set using the measures of range, variance, and standard deviation
Find the probability of an event using permutations and combinations
Apply the addition rule for finding probability
Apply conditional probability to compound events
Find the probability of an event using the binomial distribution
Calculate the mean of a discrete random variable
Compute the expected value in an application problem
Compute probability using the standard normal distribution
Construct and test a hypothesis
Estimate a population standard deviation using confidence intervals
Estimate a population mean using confidence intervals

Graphing Calculator

ConceptVideo
Histogram
Different statistical graphs
Mean, median, mode, variance and standard deviation
Boxplot
Probabilities: !, nPr and nCr
Binomial probability