Exam (elaborations)

STA1502 EXAM PACK 2022

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Course
STA1502 - Statistical Inference I (STA1502)

Institution
University Of South Africa

STA1502 EXAM PACK 2022. This is a complete and an all-inclusive guide to STA1502 Statistical Inference I. Assume equal variances. To obtain a (1 − α)100% confidence interval estimate for the difference between the two populations means, (µ1 − µ 2 ), we compute (x 1 − x 2) ± t α 2 ;...

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Uploaded on June 10, 2022
Number of pages 117
Written in 2021/2022
Type Exam (elaborations)
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sta1502
statistical inference i
sta1502 exam pack 2022
sta1502 statistical inference i

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STA1502 EXAM
PACK 2022

The course notes for Statistical Inference

, lOMoARcPSD|7651861

STA1502/1

Department of Statistics

STA1502
Statistical inference I

Study guide for STA1502

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, lOMoARcPSD|7651861

i STA1502/1

CONTENTS
ORIENTATION iii

STUDY UNIT 1
1.1 Introduction 1
1.2 Inference about the Difference Between Two Population Means: 1
Independent Samples
1.3 Observational and Experimental Data 9
1.4 Inference about the Difference Between Two Population Means: 9
Matched Pairs Experiment
1.5 Inference about the Ratio of Two Variances 19
1.6 Self-correcting Exercises for Unit 1 22
1.7 Solutions to Self-correcting Exercises for Unit 1 23
1.8 Learning Outcomes 27

STUDY UNIT 2
2.1 Introduction 28
2.2 Inference about the Difference Between Two Population Proportions 28
2.3 One-Way Analysis of Variance 34
2.4 Multiple Comparisons 43
2.5 Analysis of Variance experimental designs (read only) 47
2.6 Randomized Block(two-way) Analysis of Variance 47
2.7 Self-correcting Exercises for Unit 2 51
2.8 Solutions to Self-correcting Exercises for Unit 2 52
2.9 Learning Outcomes 55

STUDY UNIT 3
3.1 Chi–square test 57
3.2 Chi-squared goodness-of-ﬁt test 58
3.3 Chi-squared test of a Contingency Table 62
3.4 Summary of test on nominal data 64

STUDY UNIT 4
4.1 Simple linear regression and correlation 70
4.2 Estimating the coefﬁcients 70
4.3 Error variable: required conditions 75
4.4 Assessing the model 76
4.5 Using the regression equation 77
4.6 Regression diagnostics 77

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ii

STUDY UNIT 5
5.1 Non parametric statistics 82
5.2 Wilcoxon Rank Sum Test 82
5.3 Sign test and Wilcoxon signed rank sum test 86

STUDY UNIT 6
6.1 Time series analysis and time series forecasting 96
6.2 Components of time series and smoothing possibilities 96
6.3 Smoothing techniques 97
6.4 Trend and seasonal effects 100
6.5 Introduction to forecasting 102
6.6 Forcasting models 102

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