persoalan n hipotesis

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  • 7/28/2019 Persoalan n Hipotesis

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    SOALAN 2 (a) (Independent Sample T-Test)

    Menguji perbezaan min antara dua kumpulan.

    Persoalan Kajian:

    Adakah terdapat perbezaan yang signifikan bagi skor kebimbangan terhadap kursus GB6023

    pada awal semester antara pelajar lelaki dan perempuan?

    Hipotesis Kajian:

    Ho : Tidak terdapat perbezaan min yang signifikan bagi skor kebimbangan terhadap kursus

    GB6023 pada awal semester antara pelajar lelaki dan perempuan. ( 1 = 2 )

    Ha : Terdapat perbezaan min yang signifikan bagi skor kebimbangan terhadap kursus GB6023

    pada awal semester antara pelajar lelaki dan perempuan. ( 1 2 )

    Group Statistics

    Gender N Mean Std. Deviation Std. Error Mean

    Perceived_Anxiety_class_Time1

    Male 35 5.5643 1.53554 .25955

    Female 123 5.5305 1.42561 .12854

    By observing the means it can be seen that male participant produced more errors on the

    perceived anxiety score in the early semester but this difference may not be significant. To

    ascertain if this result is significant or due to chance the Independent Samples Test table must be

    examined. The Std. Deviation shows that the male participant have a wider spread of scores than

    the female group.

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    Independent Samples Test

    Levene's Test for

    Equality of

    Variances

    t-test for Equality of Means

    F Sig. t df Sig. (2-

    tailed)

    Mean

    Difference

    Std. Error

    Difference

    95% Confidence

    Interval of the

    Difference

    Lower Upper

    Perceived_Anxiety_class_Time1

    Equal variances

    assumed.505 .478 .122 156 .903 .03380 .27784

    -

    .51501.58261

    Equal variances

    not assumed.117 51.854 .908 .03380 .28964

    -

    .54745.61504

    Levenes test has found that the two variances do not differ significantly where F= 0.505, p>0.05, therefore, as the variances are not significantly different, we can accept the equal variances

    assumption and use the top line values. The result of two-tailed hypothesis shows that t(156) =

    0.122, p>0.05 which we can accept our null hypothesis that there are not significantly meandifferences between the male and female participant in the perceived anxiety score in the early

    semester.

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    SOALAN 2 (b) (ANOVA 1 WAY)

    Menguji perbezaan min antara lebih daripada dua kumpulan.

    Persoalan Kajian:

    Adakah terdapat perbezaan yang sinifikan antara skor kebimbangan terhadap kursus GB6023

    pada awal semester antara pelajar berbangsa Melayu, Cina dan India?

    Hipotesis Kajian:

    Ho : Tidak terdapat perbezaan min yang signifikan antara skor kebimbangan terhadap kursus

    GB6023 pada awal semester antara pelajar Melayu, Cina dan India. ( 1 = 2 = 3 )

    Ha : Terdapat perbezaan min yang sinifikan antara skor kebimbangan terhadap kursus

    GB6023 pada awal semester antara pelajar Melayu, Cina dan India. ( 1 2 3 )

    Descriptives

    Perceived_Anxiety_class_Time1

    N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum

    Lower Bound Upper Bound

    Malay 139 5.6565 1.45658 .12355 5.4122 5.9008 2.50 9.00

    Chinese 7 4.8214 1.20515 .45550 3.7069 5.9360 3.50 6.75

    Indian 7 4.3929 1.02933 .38905 3.4409 5.3448 2.25 5.50

    Others 5 4.8500 .89443 .40000 3.7394 5.9606 4.00 6.00

    Total 158 5.5380 1.44572 .11502 5.3108 5.7652 2.25 9.00

    The table above displays the mean perceived anxiety score in the early semester in the four races

    conditions. It can be seen that Malay student have higher anxiety level in the early semester

    (mean perceived anxiety = 5.657). As for Indian student have the lowest anxiety level in theearly semester where their mean perceived anxiety is 4.393. Chinese students (4.821) and others

    races student (4.850) have similar concerns in scores where the mean difference in their

    perceived anxiety scores was 0.029. The Std. Deviation indicates the spread of score in the four

    races. The largest spread of scores was found in Malay students (1.45658)

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    Test of Homogeneity of Variances

    Perceived_Anxiety_class_Time1

    Levene Statistic df1 df2 Sig.

    1.515 3 154 .213

    From this above table, we see that the Sig. Value is 0.213, which is greater than 0.05. We cantherefore assume thatthe variances are approximately equal.

    ANOVA

    Perceived_Anxiety_class_Time1

    Sum of Squares df Mean Square F Sig.

    Between Groups 17.092 3 5.697 2.821 .041

    Within Groups 311.056 154 2.020

    Total 328.147 157

    From the Anova table, we can see that F(3, 154) = 2.821; p < 0.05. As p < 0.05, this indicates

    that there is a significant differences between the four groups. However, it does not state wherethe significance lies. As this result, we can reject our null hypothesis.

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    Multiple Comparisons

    Dependent Variable: Perceived_Anxiety_class_Time1

    LSD

    (I) Race (J) Race Mean Difference (I-

    J)

    Std. Error Sig. 95% Confidence Interval

    Lower Bound Upper Bound

    Malay

    Chinese .83505 .55053 .131 -.2525 1.9226

    Indian 1.26362*

    .55053 .023 .1761 2.3512

    Others .80647 .64692 .214 -.4715 2.0844

    Chinese

    Malay -.83505 .55053 .131 -1.9226 .2525

    Indian .42857 .75967 .573 -1.0721 1.9293

    Others -.02857 .83218 .973 -1.6725 1.6154

    Indian

    Malay -1.26362*

    .55053 .023 -2.3512 -.1761

    Chinese -.42857 .75967 .573 -1.9293 1.0721

    Others -.45714 .83218 .584 -2.1011 1.1868

    Others

    Malay -.80647 .64692 .214 -2.0844 .4715

    Chinese .02857 .83218 .973 -1.6154 1.6725

    Indian .45714 .83218 .584 -1.1868 2.1011

    *. The mean difference is significant at the 0.05 level.

    The Multiple Comparisons table shows al the possible pairwise comparisons for our three groups

    of participants. From this table we can see that the difference between Malay and Indian group is

    significant, as is the difference between the Chinese and Malay group as the p values are small

    and less than 0.05.

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    SOALAN 2 (c) (PEARSON CORRELATION)

    Menguji hubungan (data parametrik) - kolerasi

    Persoalan Kajian:

    Adakah terdapat hubungan antara skor persepsi kendiri pelajar dengan skor sikap pelajar

    terhadap aktiviti kursus GB6023 pada awal semester?

    Hipotesis Kajian:

    Ho : Tidak terdapat hubungan antara skor persepsi kendiri pelajar dengan skor sikap pelajar

    terhadap aktiviti kursus GB6023 pada awal semester. ( 1 = 2 )

    Ha : Terdapat hubungan antara skor persepsi kendiri pelajar dengan skor sikap pelajar

    terhadap aktiviti kursus GB6023 pada awal semester. ( 1 2 )

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    From the graph above we can see that the student self perception score in the early semester have

    weak correlation, r=.194 with the student attitude score in the early semester towards the

    GB6023 course activity. This result agree with Cohen (1988) which state that r= .10 to .29 isconsidered as weak correlation.

    Correlations

    Attitude_towards_cla

    ss_Time1

    Self_Perception_Tim

    e1

    Attitude_towards_class_Time1

    Pearson Correlation 1 .194*

    Sig. (2-tailed) .018

    N 155 149

    Self_Perception_Time1

    Pearson Correlation .194*

    1

    Sig. (2-tailed) .018

    N 149 154

    *. Correlation is significant at the 0.05 level (2-tailed).

    The Pearson Correlation test statistic = 0.194. SPSS indicates with * that it is significant at the

    0.05 level for a two-tailed prediction. The actual p value is shown to be 0.18 and we can

    conclude the result as r= 0.194, N = 155, p < 0.05. These result indicate that as the studentattitude score in the early semester towards the GB6023 course activity increase, the student self

    perception score in the early semester also increases, which is a positive correlation. As the r

    value reported is positive and p < 0.05, we can state that we have a positive correlation betweenour two variables and our null hypothesis can be rejected.

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    As the scatter plot diagram above shows that there a no correlation between the two variable.

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    SOALAN 2 (e) (Mann-Whitney U Test)

    Ujian statistik yang lain.

    Persoalan Kajian:

    Adakah terdapat perbezaan yang signifikan bagi pelajar yang masih bujang dengan yang sudah

    berkahwin antara pelajar lelaki dan perempuan yang mengambil kursus GB6023?

    Hipotesis Kajian:

    Ho : Tidak terdapat perbezaan min yang signifikan bagi pelajar yang masih bujang dengan

    yang sudah berkahwin antara pelajar lelaki dan perempuan yang mengambil kursus

    GB6023. (1 = 2 )

    Ha : Terdapat perbezaan min yang signifikan bagi pelajar yang masih bujang dengan yang

    sudah berkahwin antara pelajar lelaki dan perempuan yang mengambil kursus GB6023.

    (1 2 )

    Ranks

    Gender N Mean Rank Sum of Ranks

    Marital Status

    Male 35 93.56 3274.50

    Female 122 74.82 9128.50

    Total 157

    Test Statisticsa

    Marital Status

    Mann-Whitney U 1625.500

    Wilcoxon W 9128.500

    Z -2.519

    Asymp. Sig. (2-tailed) .012

    a. Grouping Variable: Gender

    The test statistic generally reported is the Mann-Whitney U which is 1625.500 in the above table.The probability value is ascertained by examining the Asymp. Sig (2-tailed). A figure of less

    than 0.05 is considered to be indicative of significant differences. The result show that U =

    1625.50; p=0.012, p < 0.05. Here we can conclude that there is a significant difference betweenthe marital status and the gender of the participant and null hypothesis can be rejected. Our

    hypothesis is also supported by examining the mean ranks that shows male reports a higher mean

    ranking of the marital status than female.