(a) Interpretation: The least square analysis needs to be performed to determine the intercept, slopeand regression statistics, including the standard deviation about regression. Concept introduction: The least square analysis is defined as the method in which the final answer for the set of data points is calculated by the minimizing the summation of residue of set of data point from the given curve. The equation for straight line is represented as follows: y = m x + c σ x = ( ∂ x ∂ m ) 2 ( σ m ) 2 + ( ∂ x ∂ c ) 2 ( σ c ) 2

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Principles of Instrumental Analysis

7th Edition
Douglas A. Skoog + 2 others
Publisher: Cengage Learning
ISBN: 9781305577213
BuyFind

Principles of Instrumental Analysis

7th Edition
Douglas A. Skoog + 2 others
Publisher: Cengage Learning
ISBN: 9781305577213

Solutions

Chapter 10, Problem 10.11QAP
Interpretation Introduction

(a)

Interpretation:

The least square analysis needs to be performed to determine the intercept, slopeand regression statistics, including the standard deviation about regression.

Concept introduction:

The least square analysis is defined as the method in which the final answer for the set of data points is calculated by the minimizing the summation of residue of set of data point from the given curve.

The equation for straight line is represented as follows:

y=mx+c

σx=(xm)2(σm)2+(xc)2(σc)2

Interpretation Introduction

(b)

Interpretation:

The concentration of gold in the sample solution in mg/L needs to be determined using the calculated values.

Concept introduction:

The least square analysis is defined as the method in which the final answer for the set of data points is calculated by the minimizing the summation of residue of set of data point from the given curve.

The equation for straight line is represented as follows:

y=mx+c

σx=(xm)2(σm)2+(xc)2(σc)2

Interpretation Introduction

(c)

Interpretation:

The concentration of gold in the sample is 8.51 mg/L needs to be determined and the hypothesis that the results equals the 95% confidence level needs to be tested.

Concept introduction:

The least square analysis is defined as the method in which the final answer for the set of data points is calculated by the minimizing the summation of residue of set of data point from the given curve.

The equation for straight line is represented as follows:

y=mx+c

σx=(xm)2(σm)2+(xc)2(σc)2

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