Elements of statistics :: a hands-on primer /
This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, bu...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Newcastle upon Tyne, UK :
Cambridge Scholars Publishing,
2017.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, but also to embark on their advanced-level statistics courses without anxiety. The application of statistics in social research has recently become imperative. However, a gap usually exists between the time when students take their first statistics course and when they engage in their first serious res. |
| Beschreibung: | 1 online resource (xxi, 241 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781527527683 1527527689 |
Internformat
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| 245 | 1 | 0 | |a Elements of statistics : |b a hands-on primer / |c by Raghubar D. Sharma. |
| 264 | 1 | |a Newcastle upon Tyne, UK : |b Cambridge Scholars Publishing, |c 2017. | |
| 300 | |a 1 online resource (xxi, 241 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed February 5, 2019). | |
| 505 | 0 | |a Intro; Table of Contents; List of Illustrations; Introduction; Chapter One; Learning Objectives; Introduction; Basic Math Needed to Learn Statistics; The Order of Operations; Decimals and Fractions; Truncation; Exponents; Square Root; Logarithms; Some Common Symbols Used in Statistics; Summation () and Constant (c); Summation (), Constant (c), and a Variable; Exercises for Practice; Chapter Two; Learning Objectives; Introduction; Types of Numbers and Levels of Measurement; Types of Variables; Continuous Variables; Discrete or Qualitative or Categorical Variables | |
| 505 | 8 | |a Why Different Levels of Measurement Matter?Exercise for Practice; Chapter Three; Learning Objectives; Introduction; Grouped Data; Cumulative Frequency; Cumulative Percentage; Graphs and Charts; Rules for Creating Graphs and Charts; Pie Chart and Double-counting; Misuse of Graphic Representation; Eliminating Zero from the Y-Axis; Stretching or Shrinking the Axis; Avoiding the Misuse of Graphic Representation; Exercises for Practice; Chapter Four; Learning Objectives; Introduction; Central Tendency; Measures of Central Tendency; Mode; Bimodality and Multimodality; Median; Median of Grouped Data | |
| 505 | 8 | |a Some Limitations of the MedianMean; Mean of Grouped Data; Weighted Mean: The Mean of Means; Skewness, Mean, and Median; Symmetrical Distribution; Positively or Right-Skewed Distribution; Negatively or Left-Skewed Distribution; Summary Table; Exercises for Practice; Chapter Five; Learning Objectives; Introduction; Dispersion or Variability; The Range; The Deviation; The Mean or Average Deviation; Variance and Standard Deviation; Variance; Calculating Variance; Standard Deviation; Standard Deviation of Grouped Data; An Alternate Method; Coefficient of Variation (CV) | |
| 505 | 8 | |a Practical Use of Coefficient of VariationExercises for Practice; Chapter Six; Learning Objectives; Introduction; The Concept of Randomness; Moving beyond Descriptive Statistics; Probability Statement; Rules of Probability; Theoretical and Empirical Probability; Theoretical Probability; Empirical Probability; Law of Large Numbers and Probability; The Multiplication Rule; Independent Events; Dependent Events; The Addition Rule; Mutually Exclusive Events; Non-mutually Exclusive Events; Odds; Odds Ratio; Calculating Probability from Odds; Probability Ratio | |
| 505 | 8 | |a Role of Probability in Statistical InferenceExercises for Practice; Chapter Seven; Learning Objectives; Introduction; A Sample; Sampling Frame; Sampling Error; Non-sampling Errors; Types of Samples; Probability Samples; Advantages of Probability Sampling; Sample Size; Non-probability Samples; Exercises for Practice; Chapter Eight; Learning Objectives; Introduction; Sampling Distribution of Means; Central Limit Theorem; Normal Curve; Salient Features of the Sampling Distribution of Means; Standard Error of the Sample Mean; Confidence Intervals; Calculating Confidence Interval | |
| 520 | |a This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, but also to embark on their advanced-level statistics courses without anxiety. The application of statistics in social research has recently become imperative. However, a gap usually exists between the time when students take their first statistics course and when they engage in their first serious res. | ||
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| author | Sharma, Raghubar D., 1947- |
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| callnumber-sort | QA 3276.12 S53 42017EB |
| callnumber-subject | QA - Mathematics |
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| contents | Intro; Table of Contents; List of Illustrations; Introduction; Chapter One; Learning Objectives; Introduction; Basic Math Needed to Learn Statistics; The Order of Operations; Decimals and Fractions; Truncation; Exponents; Square Root; Logarithms; Some Common Symbols Used in Statistics; Summation () and Constant (c); Summation (), Constant (c), and a Variable; Exercises for Practice; Chapter Two; Learning Objectives; Introduction; Types of Numbers and Levels of Measurement; Types of Variables; Continuous Variables; Discrete or Qualitative or Categorical Variables Why Different Levels of Measurement Matter?Exercise for Practice; Chapter Three; Learning Objectives; Introduction; Grouped Data; Cumulative Frequency; Cumulative Percentage; Graphs and Charts; Rules for Creating Graphs and Charts; Pie Chart and Double-counting; Misuse of Graphic Representation; Eliminating Zero from the Y-Axis; Stretching or Shrinking the Axis; Avoiding the Misuse of Graphic Representation; Exercises for Practice; Chapter Four; Learning Objectives; Introduction; Central Tendency; Measures of Central Tendency; Mode; Bimodality and Multimodality; Median; Median of Grouped Data Some Limitations of the MedianMean; Mean of Grouped Data; Weighted Mean: The Mean of Means; Skewness, Mean, and Median; Symmetrical Distribution; Positively or Right-Skewed Distribution; Negatively or Left-Skewed Distribution; Summary Table; Exercises for Practice; Chapter Five; Learning Objectives; Introduction; Dispersion or Variability; The Range; The Deviation; The Mean or Average Deviation; Variance and Standard Deviation; Variance; Calculating Variance; Standard Deviation; Standard Deviation of Grouped Data; An Alternate Method; Coefficient of Variation (CV) Practical Use of Coefficient of VariationExercises for Practice; Chapter Six; Learning Objectives; Introduction; The Concept of Randomness; Moving beyond Descriptive Statistics; Probability Statement; Rules of Probability; Theoretical and Empirical Probability; Theoretical Probability; Empirical Probability; Law of Large Numbers and Probability; The Multiplication Rule; Independent Events; Dependent Events; The Addition Rule; Mutually Exclusive Events; Non-mutually Exclusive Events; Odds; Odds Ratio; Calculating Probability from Odds; Probability Ratio Role of Probability in Statistical InferenceExercises for Practice; Chapter Seven; Learning Objectives; Introduction; A Sample; Sampling Frame; Sampling Error; Non-sampling Errors; Types of Samples; Probability Samples; Advantages of Probability Sampling; Sample Size; Non-probability Samples; Exercises for Practice; Chapter Eight; Learning Objectives; Introduction; Sampling Distribution of Means; Central Limit Theorem; Normal Curve; Salient Features of the Sampling Distribution of Means; Standard Error of the Sample Mean; Confidence Intervals; Calculating Confidence Interval |
| ctrlnum | (OCoLC)1084474963 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1084474963 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:29:20Z |
| institution | BVB |
| isbn | 9781527527683 1527527689 |
| language | English |
| oclc_num | 1084474963 |
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| publisher | Cambridge Scholars Publishing, |
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| spelling | Sharma, Raghubar D., 1947- author. https://id.oclc.org/worldcat/entity/E39PCjtTCCDXV3dm6fWGVFFRDm http://id.loc.gov/authorities/names/n84806422 Elements of statistics : a hands-on primer / by Raghubar D. Sharma. Newcastle upon Tyne, UK : Cambridge Scholars Publishing, 2017. 1 online resource (xxi, 241 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed February 5, 2019). Intro; Table of Contents; List of Illustrations; Introduction; Chapter One; Learning Objectives; Introduction; Basic Math Needed to Learn Statistics; The Order of Operations; Decimals and Fractions; Truncation; Exponents; Square Root; Logarithms; Some Common Symbols Used in Statistics; Summation () and Constant (c); Summation (), Constant (c), and a Variable; Exercises for Practice; Chapter Two; Learning Objectives; Introduction; Types of Numbers and Levels of Measurement; Types of Variables; Continuous Variables; Discrete or Qualitative or Categorical Variables Why Different Levels of Measurement Matter?Exercise for Practice; Chapter Three; Learning Objectives; Introduction; Grouped Data; Cumulative Frequency; Cumulative Percentage; Graphs and Charts; Rules for Creating Graphs and Charts; Pie Chart and Double-counting; Misuse of Graphic Representation; Eliminating Zero from the Y-Axis; Stretching or Shrinking the Axis; Avoiding the Misuse of Graphic Representation; Exercises for Practice; Chapter Four; Learning Objectives; Introduction; Central Tendency; Measures of Central Tendency; Mode; Bimodality and Multimodality; Median; Median of Grouped Data Some Limitations of the MedianMean; Mean of Grouped Data; Weighted Mean: The Mean of Means; Skewness, Mean, and Median; Symmetrical Distribution; Positively or Right-Skewed Distribution; Negatively or Left-Skewed Distribution; Summary Table; Exercises for Practice; Chapter Five; Learning Objectives; Introduction; Dispersion or Variability; The Range; The Deviation; The Mean or Average Deviation; Variance and Standard Deviation; Variance; Calculating Variance; Standard Deviation; Standard Deviation of Grouped Data; An Alternate Method; Coefficient of Variation (CV) Practical Use of Coefficient of VariationExercises for Practice; Chapter Six; Learning Objectives; Introduction; The Concept of Randomness; Moving beyond Descriptive Statistics; Probability Statement; Rules of Probability; Theoretical and Empirical Probability; Theoretical Probability; Empirical Probability; Law of Large Numbers and Probability; The Multiplication Rule; Independent Events; Dependent Events; The Addition Rule; Mutually Exclusive Events; Non-mutually Exclusive Events; Odds; Odds Ratio; Calculating Probability from Odds; Probability Ratio Role of Probability in Statistical InferenceExercises for Practice; Chapter Seven; Learning Objectives; Introduction; A Sample; Sampling Frame; Sampling Error; Non-sampling Errors; Types of Samples; Probability Samples; Advantages of Probability Sampling; Sample Size; Non-probability Samples; Exercises for Practice; Chapter Eight; Learning Objectives; Introduction; Sampling Distribution of Means; Central Limit Theorem; Normal Curve; Salient Features of the Sampling Distribution of Means; Standard Error of the Sample Mean; Confidence Intervals; Calculating Confidence Interval This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, but also to embark on their advanced-level statistics courses without anxiety. The application of statistics in social research has recently become imperative. However, a gap usually exists between the time when students take their first statistics course and when they engage in their first serious res. Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Statistique. statistics. aat MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Mathematical statistics fast Statistics fast has work: Elements of statistics (Text) https://id.oclc.org/worldcat/entity/E39PCGrKXPMhHpB9RcdCRkKpxC https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2018100 Volltext |
| spellingShingle | Sharma, Raghubar D., 1947- Elements of statistics : a hands-on primer / Intro; Table of Contents; List of Illustrations; Introduction; Chapter One; Learning Objectives; Introduction; Basic Math Needed to Learn Statistics; The Order of Operations; Decimals and Fractions; Truncation; Exponents; Square Root; Logarithms; Some Common Symbols Used in Statistics; Summation () and Constant (c); Summation (), Constant (c), and a Variable; Exercises for Practice; Chapter Two; Learning Objectives; Introduction; Types of Numbers and Levels of Measurement; Types of Variables; Continuous Variables; Discrete or Qualitative or Categorical Variables Why Different Levels of Measurement Matter?Exercise for Practice; Chapter Three; Learning Objectives; Introduction; Grouped Data; Cumulative Frequency; Cumulative Percentage; Graphs and Charts; Rules for Creating Graphs and Charts; Pie Chart and Double-counting; Misuse of Graphic Representation; Eliminating Zero from the Y-Axis; Stretching or Shrinking the Axis; Avoiding the Misuse of Graphic Representation; Exercises for Practice; Chapter Four; Learning Objectives; Introduction; Central Tendency; Measures of Central Tendency; Mode; Bimodality and Multimodality; Median; Median of Grouped Data Some Limitations of the MedianMean; Mean of Grouped Data; Weighted Mean: The Mean of Means; Skewness, Mean, and Median; Symmetrical Distribution; Positively or Right-Skewed Distribution; Negatively or Left-Skewed Distribution; Summary Table; Exercises for Practice; Chapter Five; Learning Objectives; Introduction; Dispersion or Variability; The Range; The Deviation; The Mean or Average Deviation; Variance and Standard Deviation; Variance; Calculating Variance; Standard Deviation; Standard Deviation of Grouped Data; An Alternate Method; Coefficient of Variation (CV) Practical Use of Coefficient of VariationExercises for Practice; Chapter Six; Learning Objectives; Introduction; The Concept of Randomness; Moving beyond Descriptive Statistics; Probability Statement; Rules of Probability; Theoretical and Empirical Probability; Theoretical Probability; Empirical Probability; Law of Large Numbers and Probability; The Multiplication Rule; Independent Events; Dependent Events; The Addition Rule; Mutually Exclusive Events; Non-mutually Exclusive Events; Odds; Odds Ratio; Calculating Probability from Odds; Probability Ratio Role of Probability in Statistical InferenceExercises for Practice; Chapter Seven; Learning Objectives; Introduction; A Sample; Sampling Frame; Sampling Error; Non-sampling Errors; Types of Samples; Probability Samples; Advantages of Probability Sampling; Sample Size; Non-probability Samples; Exercises for Practice; Chapter Eight; Learning Objectives; Introduction; Sampling Distribution of Means; Central Limit Theorem; Normal Curve; Salient Features of the Sampling Distribution of Means; Standard Error of the Sample Mean; Confidence Intervals; Calculating Confidence Interval Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Statistique. statistics. aat MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Mathematical statistics fast Statistics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85082133 http://id.loc.gov/authorities/subjects/sh85127580 |
| title | Elements of statistics : a hands-on primer / |
| title_auth | Elements of statistics : a hands-on primer / |
| title_exact_search | Elements of statistics : a hands-on primer / |
| title_full | Elements of statistics : a hands-on primer / by Raghubar D. Sharma. |
| title_fullStr | Elements of statistics : a hands-on primer / by Raghubar D. Sharma. |
| title_full_unstemmed | Elements of statistics : a hands-on primer / by Raghubar D. Sharma. |
| title_short | Elements of statistics : |
| title_sort | elements of statistics a hands on primer |
| title_sub | a hands-on primer / |
| topic | Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Statistique. statistics. aat MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Mathematical statistics fast Statistics fast |
| topic_facet | Mathematical statistics. Statistics. Statistique. statistics. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Mathematical statistics Statistics |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2018100 |
| work_keys_str_mv | AT sharmaraghubard elementsofstatisticsahandsonprimer |