Spring 2020, Broward College
In this course the Statistical Software R and RStudio will be used to conduct statistical analysis.
01/07: Orientation, Introduction to the course (R, RStudio). Preview and Statistical Thinking.
Chapter 2: Frequency Distributions, Histograms, Stem and Leaf Plots. Download Normtemp excel file (Data taken from the Journal of Statistics Education online data archive. Norm temp in F for 130 individuals, dataset includes gender and heart rate.)
Lab 1 RStudio. Practice 1 and Practice2
01/14: Chapter 3: Measures of center, measures of variation, measures of relative standing and boxplots. Charts that matters. Summary Chap 1, 2,3.
Practice 3. Practice3 answers in RStudio. Chapters 1, 2, 3 concepts summary pdf.
Lab 2 RStudio.
01/21. Chapter 4: intro to Probabililty. Basic concepts, addition and multiplication rule. Complements and conditional probability, counting rules, permutations, combinations, problems involving combinations. Odds.
Practice4. Lab 3 RStudio.
02/04. Test 1 (Chapters 1, 2, 3 & 4). Additional formulas.
02/11: Probability distributions. Binomial Probability distribution.
Chapter 5 Notes. Lab 4 RStudio. Practice5. Practice5 answers in RStudio.
Additional questions: Two binomial probability experiments.
Answer to Two Binomial experiments using R.
Central Limit Theorem:
Regardless of the population distribution model, as the sample size increases, the sample mean tends to be normally distributed around the population mean.
The t distribution, also known as Student t-distribution, is a probability distribution that is used to estimate population parameters when the sample size is small and when the population variance is unknown.
03/24: Test 2 (Chapters 5, 6 & 7).
Rare Event Rule for Inferential Statistics: if under a given assumption, the probability of a particular observed event is extremely rare, we conclude that the assumption is probably incorrect.
03/31: Hypotesis Testing. Hypothesis testing in R for STA2023.
Lab 7 RSudio. Practice08. Practice08 Ans in R.
*Hypothesis Testing examples to work and discuss in class.
*Worked answers to examples here with R.
Inferences about two proportions. Inferences about two means.
Notes, comparing two groups. Independent samples, Practice 9. Practice 9 Ans in R.
TwoPropTesting. Answers in R.
04/07: Review3. Review 3 Ans in R.
04/09: Test 3.
04/14: Regression and Correlation, Lab 8 RStudio.
04/21: Tests of Independence, Chi-Sq tests. Lab 9 RStudio.
04/28: Final exam.
Mathematics of a Lady Tasting Tea
By SIR RONALD A. FISHER
R code: > barplot(dbinom(x = 0:10, size = 10, prob = 0.5),names.arg = 0:10,space=0, main="Binomial dist histogram for n=10, p=.5")
Probability: The Deck of Cards.
A deck of cards consists of 4 suits, 13 cards each for a total of 52 cards. The four suits are: Spades, Hearts, Diamonds, and Clubs. Each suit contains an A (Ace), numbers from 2 to 10, and three face cards: J, The Jack; Q, the Queen and K, the King.
Colors: Hearts and Diamonds are red, Spades and Clubs are black.
Spades, Hearts, Diamonds, Clubs: