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Reading 8 Statistical Concepts and Market Returns (Layout)
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The reading is organized as follows:
Section 2 Defines basic concepts,
Sections 3 and 4 we discuss the presentation of data
Section 3 describes the organization of data in a table format, and
Section 4 describes the graphic presentation of data.
Section 5 (Quantitative description of how data are distributed) focuses on measures that quantify where data are centered, or measures of central tendency.
Section 6 presents other measures that describe the location of data.
Section 7 presents measures that quantify the degree to which data are dispersed.
Sections 8 and 9 describe additional measures that provide a more accurate picture of data.
Section 10 provides investment applications of concepts introduced in Section 5.
Section 2 Defines basic concepts,
Sections 3 and 4 we discuss the presentation of data
Section 3 describes the organization of data in a table format, and
Section 4 describes the graphic presentation of data.
Section 5 (Quantitative description of how data are distributed) focuses on measures that quantify where data are centered, or measures of central tendency.
Section 6 presents other measures that describe the location of data.
Section 7 presents measures that quantify the degree to which data are dispersed.
Sections 8 and 9 describe additional measures that provide a more accurate picture of data.
Section 10 provides investment applications of concepts introduced in Section 5.
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Reading 8 Statistical Concepts and Market Returns Introduction
symmetrically shaped or lopsided (skewness); and whether extreme outcomes are likely (kurtosis). These same concepts are generally applicable to the distributions of other types of data, too. <span>The reading is organized as follows. After defining some basic concepts in Section 2, in Sections 3 and 4 we discuss the presentation of data: Section 3 describes the organization of data in a table format, and Section 4 describes the graphic presentation of data. We then turn to the quantitative description of how data are distributed: Section 5 focuses on measures that quantify where data are centered, or measures of central tendency. Section 6 presents other measures that describe the location of data. Section 7 presents measures that quantify the degree to which data are dispersed. Sections 8 and 9 describe additional measures that provide a more accurate picture of data. Section 10 provides investment applications of concepts introduced in Section 5. <span><body><html>
Reading 8 Statistical Concepts and Market Returns Introduction
symmetrically shaped or lopsided (skewness); and whether extreme outcomes are likely (kurtosis). These same concepts are generally applicable to the distributions of other types of data, too. <span>The reading is organized as follows. After defining some basic concepts in Section 2, in Sections 3 and 4 we discuss the presentation of data: Section 3 describes the organization of data in a table format, and Section 4 describes the graphic presentation of data. We then turn to the quantitative description of how data are distributed: Section 5 focuses on measures that quantify where data are centered, or measures of central tendency. Section 6 presents other measures that describe the location of data. Section 7 presents measures that quantify the degree to which data are dispersed. Sections 8 and 9 describe additional measures that provide a more accurate picture of data. Section 10 provides investment applications of concepts introduced in Section 5. <span><body><html>
Summary
| status | not read | reprioritisations | ||
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| last reprioritisation on | suggested re-reading day | |||
| started reading on | finished reading on |
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