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    Ainul Mardiah 180342618063 Offering G Biologi 2018 Jawaban No.2

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    Rey Jannah
    The document reports the results of a probit analysis to determine the relationship between total animal mortality and concentration. The analysis found that concentration was a significant predictor of mortality. The LC50 value, or concentration at which 50% mortality is predicted, was determined to be 0.002. Confidence intervals were provided for both the concentration and log-transformed concentration parameters across probability levels from 0.01 to 0.99.

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    Ainul Mardiah 180342618063 Offering G Biologi 2018 Jawaban No.2

    Uploaded by

    Rey Jannah
    25 views4 pages
    The document reports the results of a probit analysis to determine the relationship between total animal mortality and concentration. The analysis found that concentration was a significant predictor of mortality. The LC50 value, or concentration at which 50% mortality is predicted, was determined to be 0.002. Confidence intervals were provided for both the concentration and log-transformed concentration parameters across probability levels from 0.01 to 0.99.

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    JAWABAN NO.2

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    The document reports the results of a probit analysis to determine the relationship between total animal mortality and concentration. The analysis found that concentration was a significant predictor of mortality. The LC50 value, or concentration at which 50% mortality is predicted, was determined to be 0.002. Confidence intervals were provided for both the concentration and log-transformed concentration parameters across probability levels from 0.01 to 0.99.

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    25 views4 pages

    Ainul Mardiah 180342618063 Offering G Biologi 2018 Jawaban No.2

    Uploaded by

    Rey Jannah
    The document reports the results of a probit analysis to determine the relationship between total animal mortality and concentration. The analysis found that concentration was a significant predictor of mortality. The LC50 value, or concentration at which 50% mortality is predicted, was determined to be 0.002. Confidence intervals were provided for both the concentration and log-transformed concentration parameters across probability levels from 0.01 to 0.99.

    Copyright:

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

    Ainul Mardiah

    180342618063
    OFFERING G BIOLOGI 2018

    JAWABAN NO.2

    PROBIT Mortalitas OF TotalHewan WITH Konsentrasi


    /LOG 10
    /MODEL PROBIT
    /PRINT FREQ CI
    /CRITERIA P(0.15) ITERATE(20) STEPLIMIT(.1).

    Probit Analysis

    Data Information

    N of Cases

    Valid 7
    Rejected Missing 0
    LOG Transform Cannot be
    0
    Done
    Number of Responses >
    0
    Number of Subjects
    Control Group 0

    Convergence Information

    Number of Optimal Solution


    Iterations Found

    PROBIT 10 Yes

    Parameter Estimates

    95% Confidence Interval

    Parameter Estimate Std. Error Z Sig. Lower Bound Upper Bound


    a
    PROBIT Konsentrasi 6.878 1.453 4.734 .000 4.030 9.726

    Intercept 16.494 3.522 4.683 .000 12.972 20.016

    a. PROBIT model: PROBIT(p) = Intercept + BX (Covariates X are transformed using the base 10.000 logarithm.)
    Chi-Square Tests

    Chi-Square dfb Sig.

    PROBIT Pearson Goodness-of-Fit


    .739 5 .981a
    Test

    a. Since the significance level is greater than .150, no heterogeneity factor is used
    in the calculation of confidence limits.
    b. Statistics based on individual cases differ from statistics based on aggregated
    cases.

    Cell Counts and Residuals

    Number of Observed Expected


    Number Konsentrasi Subjects Responses Responses Residual Probability

    PROBIT 1 -2.870 10 0 .006 -.006 .001

    2 -2.745 10 0 .086 -.086 .009

    3 -2.620 10 1 .637 .363 .064

    4 -2.495 10 2 2.529 -.529 .253

    5 -2.377 10 6 5.584 .416 .558

    6 -2.187 10 9 9.267 -.267 .927

    7 -2.060 10 10 9.899 .101 .990

    Confidence Limits

    95% Confidence Limits for Konsentrasi 95% Confidence Limits for log(Konsentrasi)a

    Probability Estimate Lower Bound Upper Bound Estimate Lower Bound Upper Bound

    PROBIT .010 .002 .001 .002 -2.736 -2.977 -2.628

    .020 .002 .001 .003 -2.697 -2.911 -2.598

    .030 .002 .001 .003 -2.672 -2.870 -2.578

    .040 .002 .001 .003 -2.653 -2.839 -2.563

    .050 .002 .002 .003 -2.637 -2.814 -2.551

    .060 .002 .002 .003 -2.624 -2.792 -2.541

    .070 .002 .002 .003 -2.613 -2.774 -2.532

    .080 .002 .002 .003 -2.602 -2.757 -2.523

    .090 .003 .002 .003 -2.593 -2.743 -2.516

    .100 .003 .002 .003 -2.584 -2.729 -2.509

    .150 .003 .002 .003 -2.549 -2.673 -2.478


    .200 .003 .002 .004 -2.520 -2.630 -2.453

    .250 .003 .003 .004 -2.496 -2.594 -2.430

    .300 .003 .003 .004 -2.474 -2.564 -2.408

    .350 .004 .003 .004 -2.454 -2.536 -2.387

    .400 .004 .003 .004 -2.435 -2.511 -2.365

    .450 .004 .003 .005 -2.416 -2.488 -2.343

    .500 .004 .003 .005 -2.398 -2.467 -2.321

    .550 .004 .004 .005 -2.380 -2.447 -2.297

    .600 .004 .004 .005 -2.361 -2.427 -2.272

    .650 .005 .004 .006 -2.342 -2.408 -2.244

    .700 .005 .004 .006 -2.322 -2.389 -2.215

    .750 .005 .004 .007 -2.300 -2.369 -2.182

    .800 .005 .004 .007 -2.276 -2.348 -2.145

    .850 .006 .005 .008 -2.247 -2.324 -2.100

    .900 .006 .005 .009 -2.212 -2.295 -2.043

    .910 .006 .005 .009 -2.203 -2.288 -2.029

    .920 .006 .005 .010 -2.194 -2.281 -2.014

    .930 .007 .005 .010 -2.184 -2.273 -1.997

    .940 .007 .005 .011 -2.172 -2.264 -1.978

    .950 .007 .006 .011 -2.159 -2.254 -1.957

    .960 .007 .006 .012 -2.144 -2.242 -1.931

    .970 .008 .006 .013 -2.125 -2.228 -1.900

    .980 .008 .006 .014 -2.100 -2.209 -1.858

    .990 .009 .007 .016 -2.060 -2.179 -1.792

    a. Logarithm base = 10.


    Jadi, nilai LC50 adalah 0,002

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