### Abstract

In this chapter, we cover basic and fundamental principles and methods in statistics - from "What are Data and Statistics?" to "ANOVA and linear regression," which are the basis of any statistical thinking and undertaking. Readers can easily find the selected topics in most introductory statistics textbooks, but we have tried to assemble and structure them in a succinct and reader-friendly manner in a stand-alone chapter. This text has long been used in real classroom settings for both undergraduate and graduate students who do or do not major in statistical sciences. We hope that from this chapter, readers would understand the key statistical concepts and terminologies, how to design a study (experimental or observational), how to analyze the data (e.g., describe the data and/or estimate the parameter(s) and make inference), and how to interpret the results. This text would be most useful if it is used as a supplemental material, while the readers take their own statistical courses or it would serve as a great reference text associated with a manual for any statistical software as a self-teaching guide.

Original language | English (US) |
---|---|

Pages (from-to) | 3-104 |

Number of pages | 102 |

Journal | Methods in molecular biology (Clifton, N.J.) |

Volume | 620 |

DOIs | |

State | Published - 2010 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Medicine(all)

### Cite this

*Methods in molecular biology (Clifton, N.J.)*,

*620*, 3-104. https://doi.org/10.1007/978-1-60761-580-4_1

**Experimental statistics for biological sciences.** / Bang, Heejung; Davidian, Marie.

Research output: Contribution to journal › Article

*Methods in molecular biology (Clifton, N.J.)*, vol. 620, pp. 3-104. https://doi.org/10.1007/978-1-60761-580-4_1

}

TY - JOUR

T1 - Experimental statistics for biological sciences.

AU - Bang, Heejung

AU - Davidian, Marie

PY - 2010

Y1 - 2010

N2 - In this chapter, we cover basic and fundamental principles and methods in statistics - from "What are Data and Statistics?" to "ANOVA and linear regression," which are the basis of any statistical thinking and undertaking. Readers can easily find the selected topics in most introductory statistics textbooks, but we have tried to assemble and structure them in a succinct and reader-friendly manner in a stand-alone chapter. This text has long been used in real classroom settings for both undergraduate and graduate students who do or do not major in statistical sciences. We hope that from this chapter, readers would understand the key statistical concepts and terminologies, how to design a study (experimental or observational), how to analyze the data (e.g., describe the data and/or estimate the parameter(s) and make inference), and how to interpret the results. This text would be most useful if it is used as a supplemental material, while the readers take their own statistical courses or it would serve as a great reference text associated with a manual for any statistical software as a self-teaching guide.

AB - In this chapter, we cover basic and fundamental principles and methods in statistics - from "What are Data and Statistics?" to "ANOVA and linear regression," which are the basis of any statistical thinking and undertaking. Readers can easily find the selected topics in most introductory statistics textbooks, but we have tried to assemble and structure them in a succinct and reader-friendly manner in a stand-alone chapter. This text has long been used in real classroom settings for both undergraduate and graduate students who do or do not major in statistical sciences. We hope that from this chapter, readers would understand the key statistical concepts and terminologies, how to design a study (experimental or observational), how to analyze the data (e.g., describe the data and/or estimate the parameter(s) and make inference), and how to interpret the results. This text would be most useful if it is used as a supplemental material, while the readers take their own statistical courses or it would serve as a great reference text associated with a manual for any statistical software as a self-teaching guide.

UR - http://www.scopus.com/inward/record.url?scp=78049437931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78049437931&partnerID=8YFLogxK

U2 - 10.1007/978-1-60761-580-4_1

DO - 10.1007/978-1-60761-580-4_1

M3 - Article

VL - 620

SP - 3

EP - 104

JO - Methods in molecular biology (Clifton, N.J.)

JF - Methods in molecular biology (Clifton, N.J.)

SN - 1064-3745

ER -