5 Design Of Experiment

Statistics II · Unit 5 · 10 hrs

Design of experiment

Exam-focused notes for Design of experiment (Statistics II, STA215): what the TU syllabus asks and how it has actually been tested, with 10 solved past questions from this unit.

What this unit covers

  • Experimental design
  • Basic principles of experimental designs
  • Completely Randomized Design (CRD)
  • Randomized Block Design (RBD)
  • ANOVA table
  • Efficiency of RBD relative to CRD
  • Estimations of missing value (one observation only)
  • Advantages and disadvantages
  • Latin Square Design (LSD): Statistical analysis of m × m LSD for one observation per experimental unit, ANOVA table, Estimation of missing value in LSD (one observation only), Efficiency of LSD relative to RBD, Advantage and disadvantages
  • Problems and illustrative examples related to computer Science and IT

Completely Randomized Design

208110 marks

One-Way ANOVA: Seminar Evaluation Scores by Manager Level

A management consulting company presents a 3-day seminar on project management to various clients. The seminar is basically the same each time it is given. However, sometimes it is presented to high-level managers, sometimes to mid-level managers, and sometimes to low-level managers. The seminar facilitators believe evaluations of the seminar may vary with the audience. Suppose the following data are some randomly selected evaluation scores from different levels of managers after they have attended the seminar. The ratings are on a scale from 1 to 100, with 100 being the highest score. Use a one-way ANOVA to determine whether there is a significant difference in the evaluation according to manager level. The following table gives the scores to the various clients due to different manager levels.

$$\begin{array}{|c|c|c|c|} \hline & \text{High Level} & \text{Mid Level} & \text{Low Level} \ \hline & 85 & 90 & 55 \ & 75 & 100 & 75 \ & 85 & 95 & 80 \ & 60 & 85 & 75 \ & 70 & 90 & \ & & 75 & \ \hline \end{array}$$

[10]

High Level Mid Level Low Level :-::-::-: 85 90 55 75 100 75 85 95 80 60 85 75 70 90 75 - $n1 = 5,\ n2 = 6,\ n3 = 4$ - Total $N = 15$, groups $k = 3$ - $\alpha = 0.05$ - $H0: \mu1 = \mu2 = \mu3$ (no significant difference) - $H1:$ at least one mean differs $...

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207910 marks

Design of Experiments Question

What do you understand by 'Design of an Experiment'? Physicians depend on laboratory test results when managing medical problems such as diabetes or epilepsy. In a uniformity test of glucose tolerance, three different laboratories were sent $n_t = 5$ identical blood samples from a person who had drunk 50 mg of glucose dissolved in water. The laboratory results are listed below: Do data indicate a difference in the average readings for three laboratories? Use $\alpha = 0.05$.

Lab 1Lab 2Lab 3
12.19.310.0
11.711.110.5
10.910.710.1
10.210.911.0
10.69.010.4

[10]

Design of an experiment is the systematic planning of an investigation so that valid, unbiased, and reliable conclusions can be drawn from collected data. It specifies how treatments are allocated to experimental units, how many replications are used, and h...

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207810 marks

Statistical Test for Computer Lifetime Across Brands

There are three brands of computers namely Dell, Lenovo, and HP. The following are the lifetime of 15 computers in years. Apply appropriate statistical tests to identify whether the average lifetime (in years) is significantly different across three brands of computers at a 5% level of significance. You can again tabulate the data initially in the required format for statistical analysis.

$$\begin{array}{|c|c|c|} \hline \text{Serial Number} & \text{Computer Brand} & \text{Lifetime in years} \ \hline 1 & \text{Dell} & 15 \ 2 & \text{Lenovo} & 10 \ 3 & \text{HP} & 9 \ 4 & \text{Dell} & 12 \ 5 & \text{Lenovo} & 6 \ 6 & \text{HP} & 7 \ 7 & \text{Dell} & 4 \ 8 & \text{Lenovo} & 8 \ 9 & \text{HP} & 13 \ 10 & \text{Dell} & 11 \ 11 & \text{HP} & 5 \ 12 & \text{Lenovo} & 7 \ 13 & \text{Dell} & 3 \ 14 & \text{HP} & 5 \ 15 & \text{Lenovo} & 4 \ \hline \end{array}$$

[10]

Dell Lenovo HP ------------------ 15 10 9 12 6 7 4 8 13 11 7 5 3 4 5 - $n1 = n2 = n3 = 5$, total $N = 15$, groups $k = 3$ - Significance level $\alpha = 0.05$ Comparing means of three independent groups on a continuous variable → One-Way ANOVA. - $H0: \mu{D...

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Latin Square Design

20815 marks

What do you understand by design of experiments? Give the layout of a Latin Square Design. Explain why the number of treatments tested in a Latin Square Design should not be less than 3? [5]

Design of experiments refers to the systematic planning and arrangement of experimental conditions so that valid, unbiased, and reliable conclusions can be drawn from the experimental data with minimum experimental error. According to R.A. Fisher, the desig...

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208010 marks

What is Latin Square Design? Under what conditions can this be used? Give lay out and analysis of Latin Square Design.[10]

Latin Square Design (LSD) is a design of experiment used for non-homogeneous experimental material where local control is applied simultaneously in two directions (row-wise and column-wise), thereby converting non-homogeneous material into homogeneous. It i...

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20785 marks

State the mathematical model for Statistical analysis for m x m LSD for one observation per experimental unit. Also prepare a dummy ANOVA table for this. [5]

For a m × m Latin Square Design (LSD) with one observation per experimental unit, the linear statistical model is: $$X{ijk} = \mu + \alphai + \betaj + \gammak + \varepsilon{ijk}$$ where: Symbol Meaning ----------------- $X{ijk}$ Observation in the $i$-th ro...

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207710 marks

Latin Square Design (LSD) - Concepts, Conditions, and Analysis

Definition: Latin Square Design is an experimental design used to control variability in two directions (rows and columns) simultaneously. The material is heterogeneous in two perpendicular directions, and local control is applied in both, making LSD more e...

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207510 marks

Latin Square Design

A Latin Square Design (LSD) is an experimental design used when experimental material is non-homogeneous in two directions (rows and columns). Local control is applied in both directions to reduce experimental error. The design is arranged in a square ($n \...

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20755 marks

ANOVA Table Completion and Analysis

Source SS df MSS F --------------- Column 72 ? ? 2 Rows ? ? 36 ? Treatments 180 3 ? ? Error ? 6 12 Total ? ? Presence of Columns, Rows, Treatments, Error as sources indicates a Latin Square Design (LSD). --- Since the variation is partitioned into Columns, ...

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ANOVA table

20805 marks

What do you understand by Design of Experiment? Prepare one way analysis of variance table and carry out the test for the significance of difference in the average yields between different varieties of seed. Given: Total sum of squares = 258, Sum of square between varieties of seed = 50, Total number of observations = 20 [5]

Design of Experiment (DOE) is the systematic planning, conducting, and statistical analysis of experiments so that valid and objective conclusions can be drawn about the effect of one or more factors on a response. It aims to control experimental error and ...

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