(a) Interpretation: Absolute standard deviation and the coefficient of variation are to be determined for the given data. y = ( 1.02 ) ( ± 0.02 ) × 10 − 8 − [ ( 3.54 ) ( ± 0.2 ) × 10 9 ] Concept introduction: The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Question

Draw the major product of this reaction. Ignore inorganic byproducts and the alcohol side product. 1. H3O+, heat 2. Neutralizing work-up Drawing Q

Answer 1

Question

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

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Answer 2

Question

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

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Answer 3

Question

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

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Answer 4

Question

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

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Answer 5

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 6

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Answer 7

Chapter A1, Problem A1.11QAP

Interpretation Introduction

(a)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(1.02)(±0.02)×10−8−[(3.54)(±0.2)×109]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean..

Answer 8

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 9

Interpretation Introduction

(b)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(90.31)(±0.08)−(89.32)(±0.06)+(0.200)(±0.004)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 10

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 11

Interpretation Introduction

(c)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(0.0020)(±0.0005)×[(20.20)(±0.02)×300(±1)]$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 12

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 13

Interpretation Introduction

(d)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(163±0.03×10−14)(1.03±0.04×10−14)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 14

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 15

Interpretation Introduction

(e)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=100±12±1$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 16

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 17

Interpretation Introduction

(f)

Interpretation:

Absolute standard deviation and the coefficient of variation are to be determined for the given data.

$y=(2.45)±(0.02)×10−2−[(5.06)±(0.06)×10−3](23.2)±(0.7)+(9.11)±(0.08)$

Concept introduction:

The spreading out of numbers is measured by the standard deviation which is symbolized by s. The standard deviation can be calculated by taking the square root of the variance. Relative standard deviation is known as the coefficient of variation represented as cv. It is calculated in percentage. It is calculated as the ratio of standard deviation and the mean.

Answer 18

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Answer 19

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Answer 20

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Answer 21

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Answer 22

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Answer 23

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Answer 24

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Answer 25

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Answer 29

Ch. A1 - Prob. A1.1QAP Ch. A1 - Prob. A1.2QAP Ch. A1 - Prob. A1.3QAP Ch. A1 - Prob. A1.4QAP Ch. A1 - Prob. A1.5QAP Ch. A1 - Prob. A1.6QAP Ch. A1 - Prob. A1.7QAP Ch. A1 - Prob. A1.8QAP Ch. A1 - Prob. A1.9QAP Ch. A1 - Prob. A1.10QAP

Chapter A1 Solutions