Faculty                                   : Mathematics and Natural Sciences
Study Program                       : Mathematics Education
Course & Code                       : Elementary Statistics, MAA 306
Credit Hours                           : Theory 2 credit, Practice 1 credit
Semester                                 : II Prerequisites & Code               : None

Lecturer                                  : Kismiantini, M.Si.

I.    COURSE DESCRIPTION

This course is designed for students who need an elementary knowledge of statistics.
Concepts of statistics, variables and measurement scales are studied on the first meeting. The basic ideas of descriptive statistical methods are considered, including table and diagram, measures of central tendency, measures of variation, and measures of location. It is also permutation, combination and rules of probability, random variables together with well-known probability distributions such as Bernoulli, binomial, hypergeometric, Poisson, normal, t, chi-square, F distributions and sampling distribution. For making statistical inferences, it needs parameter estimation and hypothesis testing theory.

II.  BASIC OF COMPETENCY

The  students  have  ability  to  understand  basic  concepts  of  statistics,  calculate  of
measure of central tendency from data, measures of variation and measures of location from  data,  make  frequency  distribution,  understand  combinatorics,  probability, discrete random variables and the distribution, continuous random variables, standard normal distribution, t distribution, F distribution, chi-square distribution, sampling theory and do parameter estimation and hypothesis testing.

III. ACTIVITIES PLAN 

Meeting
Based Competency
Subject Matter
Activities
References
1
To explain based
concepts of statistics
Concepts of statistics,
variables and measurement scales
Discussion
& Exercises
A: 2-19
B: 1-9
2-5
To make a description
of data, and calculate mean, median, mode
Description of data : table
and diagram, sigma notation, measures of central tendency (mean, median, mode)
Discussion
& Exercises
A: 36-72
B: 41-116
6-9
To calculate standard
deviation , variance, quartile, decile, percentile
Measures of variation
(standard deviation, variance), measures of location (quartile, decile,
Discussion
& Exercises
A: 73-101
B: 117-145


percentile)


10-12
To explain the basic of
principle of counting, permutation, combination and to learn probability
Combinatorial analysis
(the basic principle of counting, permutation, combination), probability, conditional probability, Bayes’s Rule
Discussion
& Exercises
A: 118-176
B: 181-243
13-15
To recognize and learn
probability distribution of discrete random variables
Probability distributions
of discrete random variables: Bernoulli, binomial, hypergeometric, and Poisson
Discussion
& Exercises
A: 180-217
B: 265-327
16

Test I


17-18
To explain some of
probability distribution of continuous variables
Probability distributions
of continuous variables: normal, t, chi-square, and F
Discussion
& Exercises
A: 224-248
B: 335-379
18-20
To explain sampling
distributions
Sampling distributions:
the sampling distribution of mean, proportion, variance, standard deviation, the difference of two means, the difference of two proportions, and the ratio of two variances
Discussion
& Exercises
A: 249-258
B: 403-430
21-25
To gain ability to make
statistical inferences using point estimation and interval estimation
Parameter estimation:
point estimation and interval estimation, confidence interval for
one mean, one proportion, one variance, two means, two proportion, two variances
Discussion
& Exercises
A: 296-359
A: 436-486
B: 437-725
26-31
To gain ability to make
statistical inferences using hypothesis testing
Hypothesis testing: about
one mean, one proportion, one variance, the difference of two means, the difference of two proportions, and the ratio of two variances
Discussion
& Exercises
A: 366-427
A: 436-486
B: 481-725
32

Test II


IV. REFERENCES
A.  Compulsory textbooks         :
Triola, Mario F. 2004. Elementary Statistics. New York: Addison-Wesley.
B.  Suggested reference books  :
Weiss, Neil A. 1995. Introductory to Statistics. New York: Addison-Wesley.

Post a Comment

Berkomentar sesuai dengan judul blog ini yah, berbagi ilmu, berbagi kebaikan, kunjungi juga otoriv tempat jual aksesoris motor dan mobil lengkap

Lebih baru Lebih lama