CHAPTER IV This chapter presents the answers to the following research problems: Problem 1: 1. What is the socio-demographic profile among selected guests of Giligan’s Island Restaurant‚ Dasmariñas‚ Cavite in terms of: Table 1 the Frequency Percentage Distribution on is the socio-demographic profile among selected guests of Giligan’s Island Restaurant‚ Dasmariñas‚ Cavite in terms of Gender Gender | Rank | Frequency | Percent | Male | 1 | 28 | 56.0 | Female | 2 | 22 | 44.0 | Total
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Two-Way ANOVA Two-way ANOVA is similar to one-way ANOVA in all aspects except that in this case additional independent variable is introduced. Each independent variable includes two or more variants. Take the Demonstration problem 11.3 on page number 437 of KEN BLACK Feed the data as shown below: And the values as: 1 1 3.47 1 2 3.43 1 3 3.44 1 4 3.46 1 5 3.46 1 6 3.44 2 1 3.40 2 2 3.41 2 3 3.41 2 4 3.45 2 5 3.40 2 6 3.43 3 1 3.38 3 2 3.42 3 3 3.43 3 4 3.40 3 5 3.39 3
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Background of the Study According to United Nations Population Fund (2007)‚ “In 2008‚ for the first time in history‚ more than half of the world’s population will be living in towns and cities. By 2030 this number will swell to almost 5 billion‚ with urban growth concentrated in Africa and Asia.” There are many factors that affect the increase or decrease of a population. Common factors include birthrate‚ medical advances‚ productivity‚ and so on. There have been a lot of debates and discussions
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Variables - any factor that can change in amount or kind over time. Eg age‚ time‚ IQ‚ memory etc An experiment tests the cause-effect relationship between variables Independent variable – the variable that is systematically manipulated‚ changed or varied in some way by the experimenter‚ in order to assess its effect on participant’s responses (DV) Dependent variable – the variable that the experimenter is measuring‚ shows any effects of the IV It is called the DV because whether or not it will
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Worked example from Tutorial 8 8.3 Three laboratories‚ A‚ B‚ and C‚ are used by food manufacturing companies for making nutrition analyses of their products. The following data are the fat contents (in grams) of the same weight of three similar types of peanut butter. | |Laboratory | |Peanut Butter |A |B |C |D | |Brand 1 |16
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SPECIFICITY Compound Relative retention time Related sustances From individual solution From blend solution Varation H-GTBRC01 (0.15%) 0.65 0.65 0.00 H-GTBRC02 (0.15%) 0.80 0.80 0.00 H-GTBRC03 (0.15%) 0.43 0.43 0.00 Gefitinib (0.1%) 1.00 1.00 0.00 Observation: No interference was observed due to blank at the retention time of H-GTBRC01‚ H-GTBRC02‚ H-GTBRC03 . The order & relative retention time obtained from individual solution & blend solution were
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A 4(amount of alcohol: 0‚ 2‚ 4‚ 6 pints) X 2(type of lighting: dim‚ bright) within subjects Factorial ANOVA was conducted on attactiveness scores of chosen mate. Mauchly’s test indicated that the assumption of sphericity had been assumed for the main effect of alcohol amount‚ χ²(5) = 4.70‚ p > .05 and alcohol amount and lighting type interaction effect‚ χ²(5) = 2.58‚ p > .05. There was a significant main effect of type of lighting on attractiveness of chosen mate‚ F (1‚ 25) = 23.42‚ p
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I have to think of all the choices I have. At this point I am at a disadvantage. I am a lizard in a unknow cave‚ and none the less I am premature. My main worry is right now is food and warmth. I was able to deal with the food problem temporarily due to the egg slime‚ but that will run out soon. If it comes down to it I could always break open the other eggs‚ and eat what I assume to be my siblings. Personally I would like to refrain from taking that action. That still leaves the problem
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ADVANTAGES OF THE FACTORIAL DESIGN Some experiments are designed so that two or more treatments (independent variables) are explored simultaneously. Such experimental designs are referred to as factorial designs. In factorial designs‚ every level of each treatment is studied under the conditions of every level of all other treatments. Factorial designs can be arranged such that three‚ four‚ or n treatments or independent variables are studied simultaneously in the same experiment. If two independent
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This work of PSYCH 610 Week 4 Individual Assignment Homework Exercise shows the solutions to the following points: 1. What is a confounding variable and why do researchers try to eliminate confounding variables? Provide two examples of confounding variables. 2. What are the advantages and disadvantages of posttest only design and pretest-posttest design? 3. What is meant by sensitivity of a dependent variable? 4. What are the differences between an independent groups design and a repeated measures
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