Teach Me - data analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
1999
|
| Ausgabe: | Single user ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 143. -Systemvoraussetzungen: IBM PC or compatible: 486 or higher; Windows 95 or higher, Windows NT; RAM: 16 MB (Windows 95), 32 MB (NT); 15 bit color graphics card (24 bit recommended); CD-ROM drive; 100 MB empty harddisk space |
| Beschreibung: | X, 143 S. Ill., graph. Darst. in Behältnis 25 x 21 x 4 cm 1 CD-ROM (12 cm) |
| ISBN: | 3540147438 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804135912850849792 |
|---|---|
| adam_text | Contents
Teach/Me Background Information
Introduction 1
Internet aspects 2
Teach/Me Data Analysis 3
Textbook 4
Interactive Examples 5
Data Laboratory 6
Web based Examinations 7
Courses and Personalized Textbook 8
Indexing Engine 8
MindMap 9
Conclusions and Outlook 9
Teach/Me System Guide
What is Teach/Me 12
Terminology within Teach/Me 12
Philosophy behind Teach/Me 14
Teach/Me System Components 15
Installation Guide 16
Installing the Single User Edition 17
Uninstalling Teach/Me 20
Uninstalling Teach/Me Manually 21
User s Guide 23
Type of Users 23
Textbook Introduction 24
Textbook Usage 25
Textbook Navigator 26
Textbook Annotations 28
New Annotations 29
Selecting a Course 30
Navigating Within a Course 31
VII
Contents
Creating a Course 31
MindMap 33
Exam Designer Overview 35
Structure of Exams 35
XM 36
XMinator 37
Teach/Me Control Center 38
Background Music 40
Using the Teach/Me Help System 40
Updating Teach/Me 42
Contact Information 42
Data Analysis in a Nutshell
Introduction 45
Basic Terms 46
Data Matrices 47
Missing Values 48
Random Variable 49
Population and Sample 50
Graphing Standards 51
Univariate Description of the Data
Measures of Location 52
Mean 53
Mode 54
Median 55
Fractiles 56
Measures of Variation 57
Variance 57
Standard Deviation 58
Theorem of Chebyshev 59
Interquartile Range 60
Distributions 61
Histogram 64
Cumulative Frequency Distribution 65
Normal Distribution 66
Sampling Distributions 67
Central Limit Theorem 68
c2 Distribution 69
t Distribution 70
F Distribution 70
VIII
Contents
Statistical Tests
Hypothesis Testing 71
Types of Errors 73
One sided and Two sided Tests 74
Degrees of Freedom 76
Level of Significance 77
Power of a Test 78
Comparing Means 79
One sample t Test Large Sample 80
One sample t Test Small Sample 82
Two sample t Test Large Sample 83
Two sample t Test Small Sample 84
Paired Experiments 85
Comparing Variances
One sample c2 Test 86
Two sample F Test 87
Comparing Distributions
c2 Test 88
Kolmogorov Smirnov Test 90
Outliers 91
n Sigma Rule 92
Dean Dixon Test 93
Analysis of Variance 94
Bivariate Considerations
Scatter Plots 96
Covariance 97
Correlation 98
Pearson s Correlation Coefficient 99
Spearman s Rank Correlation 101
Regression 101
Assumptions 102
Straight Line 103
Residuals 104
Coefficient of Determination 105
Curvilinear Regression 106
Multivariate Models
Variable Selection 108
Validation of Models 109
Cross Validation 110
Multiple Linear Regression 111
Linear Discriminant Analysis 111
Principal Component Analysis 113
Loadings and Scores 115
Model Order 116
Eigenvalues and Eigenvectors 117
Principal Component Regression 118
Factor Analysis 119
IX
Contents
Cluster Analysis 121
KNISI Classification 122
Optimization 123
Phase Space 125
Noise
Types of Noise 126
Physical Origin of Noise 128
Filtering
Types of Filters 129
Autocorrelation 131
Smoothing Algorithms
Moving Average 132
Savitzky Golay Filter 134
Time Averaging 135
Fourier Transformation 137
Fourier Series 138
FFT 139
Filtering in the Frequency Domain 139
Textbooks in Statistics 141
X
|
| adam_txt |
Contents
Teach/Me Background Information
Introduction 1
Internet aspects 2
Teach/Me Data Analysis 3
Textbook 4
Interactive Examples 5
Data Laboratory 6
Web based Examinations 7
Courses and Personalized Textbook 8
Indexing Engine 8
MindMap 9
Conclusions and Outlook 9
Teach/Me System Guide
What is Teach/Me 12
Terminology within Teach/Me 12
Philosophy behind Teach/Me 14
Teach/Me System Components 15
Installation Guide 16
Installing the Single User Edition 17
Uninstalling Teach/Me 20
Uninstalling Teach/Me Manually 21
User's Guide 23
Type of Users 23
Textbook Introduction 24
Textbook Usage 25
Textbook Navigator 26
Textbook Annotations 28
New Annotations 29
Selecting a Course 30
Navigating Within a Course 31
VII
Contents
Creating a Course 31
MindMap 33
Exam Designer Overview 35
Structure of Exams 35
XM 36
XMinator 37
Teach/Me Control Center 38
Background Music 40
Using the Teach/Me Help System 40
Updating Teach/Me 42
Contact Information 42
Data Analysis in a Nutshell
Introduction 45
Basic Terms 46
Data Matrices 47
Missing Values 48
Random Variable 49
Population and Sample 50
Graphing Standards 51
Univariate Description of the Data
Measures of Location 52
Mean 53
Mode 54
Median 55
Fractiles 56
Measures of Variation 57
Variance 57
Standard Deviation 58
Theorem of Chebyshev 59
Interquartile Range 60
Distributions 61
Histogram 64
Cumulative Frequency Distribution 65
Normal Distribution 66
Sampling Distributions 67
Central Limit Theorem 68
c2 Distribution 69
t Distribution 70
F Distribution 70
VIII
Contents
Statistical Tests
Hypothesis Testing 71
Types of Errors 73
One sided and Two sided Tests 74
Degrees of Freedom 76
Level of Significance 77
Power of a Test 78
Comparing Means 79
One sample t Test Large Sample 80
One sample t Test Small Sample 82
Two sample t Test Large Sample 83
Two sample t Test Small Sample 84
Paired Experiments 85
Comparing Variances
One sample c2 Test 86
Two sample F Test 87
Comparing Distributions
c2 Test 88
Kolmogorov Smirnov Test 90
Outliers 91
n Sigma Rule 92
Dean Dixon Test 93
Analysis of Variance 94
Bivariate Considerations
Scatter Plots 96
Covariance 97
Correlation 98
Pearson's Correlation Coefficient 99
Spearman's Rank Correlation 101
Regression 101
Assumptions 102
Straight Line 103
Residuals 104
Coefficient of Determination 105
Curvilinear Regression 106
Multivariate Models
Variable Selection 108
Validation of Models 109
Cross Validation 110
Multiple Linear Regression 111
Linear Discriminant Analysis 111
Principal Component Analysis 113
Loadings and Scores 115
Model Order 116
Eigenvalues and Eigenvectors 117
Principal Component Regression 118
Factor Analysis 119
IX
Contents
Cluster Analysis 121
KNISI Classification 122
Optimization 123
Phase Space 125
Noise
Types of Noise 126
Physical Origin of Noise 128
Filtering
Types of Filters 129
Autocorrelation 131
Smoothing Algorithms
Moving Average 132
Savitzky Golay Filter 134
Time Averaging 135
Fourier Transformation 137
Fourier Series 138
FFT 139
Filtering in the Frequency Domain 139
Textbooks in Statistics 141
X |
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| indexdate | 2024-07-09T20:48:03Z |
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| spelling | Lohninger, Hans 1957- Verfasser (DE-588)120577305 aut Teach Me - data analysis H. Lohninger Single user ed. Berlin [u.a.] Springer 1999 X, 143 S. Ill., graph. Darst. in Behältnis 25 x 21 x 4 cm 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 143. -Systemvoraussetzungen: IBM PC or compatible: 486 or higher; Windows 95 or higher, Windows NT; RAM: 16 MB (Windows 95), 32 MB (NT); 15 bit color graphics card (24 bit recommended); CD-ROM drive; 100 MB empty harddisk space CD-ROM (DE-588)4139307-7 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf (DE-588)4055382-6 Software gnd-content Datenauswertung (DE-588)4131193-0 s DE-604 Datenanalyse (DE-588)4123037-1 s CD-ROM (DE-588)4139307-7 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015164170&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lohninger, Hans 1957- Teach Me - data analysis CD-ROM (DE-588)4139307-7 gnd Datenauswertung (DE-588)4131193-0 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Teach Me - data analysis |
| title_auth | Teach Me - data analysis |
| title_exact_search | Teach Me - data analysis |
| title_exact_search_txtP | Teach Me - data analysis |
| title_full | Teach Me - data analysis H. Lohninger |
| title_fullStr | Teach Me - data analysis H. Lohninger |
| title_full_unstemmed | Teach Me - data analysis H. Lohninger |
| title_short | Teach Me - data analysis |
| title_sort | teach me data analysis |
| topic | CD-ROM (DE-588)4139307-7 gnd Datenauswertung (DE-588)4131193-0 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | CD-ROM Datenauswertung Datenanalyse Software |
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