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    Following The Data Collection

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    bpcadayong30
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    Following The Data Collection

    Uploaded by

    bpcadayong30
    4 views2 pages
    collecting

    Original Title

    Following the data collection

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    collecting

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    4 views2 pages

    Following The Data Collection

    Uploaded by

    bpcadayong30
    collecting

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    of 2

    Following the data collection, the researchers will analyze the data using the statistical

    treatment of the dependent sample T-test and Pearson’s R. According to the Academic Success
    Center (ASC), Dependent sample T-test is used to compare sample means or averages from two
    similar groups. This statement means that the scores for both groups were acquired from the
    same individuals. In this investigation, the researchers will first test the air quality of the smoke
    emitted by the vehicle without the product in terms of carbon dioxide (CO ) amount, 2

    formaldehyde (CH O) amount, and total volatile organic compound (TVOC). Following that, the
    2

    researchers will then install the prototype with 100 grams of water hyacinth activated charcoal,
    then 150 grams, and lastly, 200 grams. After gathering the data, they will compute the mean of
    both the two groups and then apply the dependent sample T-test to see if there is a significant
    difference between the two means or the data being measured. In this case, the researchers will
    use alpha at 0.05 and the formula for dependent sample T-test below:

    After that process, the researchers will then proceed to the next statistical treatment,
    Pearson’s R. According to an article created by Statistics Solutions, this is a test statistic for
    determining the statistical relationship, or association, between two continuous variables.
    Because it is based on the concept of covariance, it is recognized as the best approach for
    quantifying the correlation between variables of interest. In this case, the researchers will utilize
    this method in order to know and pinpoint the relationship between the amount of water hyacinth
    activated charcoal (WHAC) in the container and the number of air pollutants present in the
    vehicle’s fumes. In this case, the researchers will use alpha at 0.05 and the formula for Pearson’s
    R below:

    n ∑ xy −( ∑ x )( ∑ y )
    r=
    √¿ ¿ ¿
    Where:
    '
    r =Pearso n s R
    x=x variable
    y= y variable
    n=sample population
    The researchers will also examine the vehicle owner's opinion on the prototype's
    functionality, quality, and durability and overall satisfaction using a rating scale. They will then
    calculate and evaluate the overall average of the responses to see if the device satisfied the
    vehicle owners in Cabuyao City. In this case, the researchers will use the formula:

    n
    Mean Range Interpretation
    ∑ (x i ∙ wi )
    4.1-5.0 Very Satisfied x= i=1 n
    3.1-4.0 Satisfied ∑ wi
    i=1

    2.1-3.0 Neutral
    Where:
    1.1-2.0 Unsatisfied n=Number of terms ¿ be averaged
    x i=Data values ¿ be averaged
    0.0-1.0 Very Unsatisfied w i=weights applied ¿ the x values
    W =weighted mean

    Range Interpretation

    ±0.00 - ±0.10 No correlation


    ±0.11 - ±0.25 Negligible Correlation
    ±0.26 - ±0.50 Moderate Correlation
    ±0.51 - ±0.75 High Correlation
    ±0.76 - ±0.99 Very High Correlation
    ±1.00 Perfect Correlation

    Degree of Freedom :
    df =n−1

    Decision Rule :
     If the computer t-value < t-critical value at (df =n−1 ) and
    level of significance; Accept Ho

     If the computer t-value > t-critical value at (df =n−1 ) and


    level of significance; Reject Ho

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