Capstone Project 1500 to 2000 words
schools SPSS Report
Introduction
The research question is to know if there is any significant difference in the 10th grade average math and reading score. The data set has 21 variables with 64 observations each. The variables of interest are ‘10th grade average math score’ and ‘10th grade average reading score’.
Research Hypothesis
The research question is to test if there is any significant difference in the 10th grade average math score and 10th grade average reading score. The null hypothesis, Ho: there is no significant difference in the 10th grade average math score and 10th grade average reading score. This is tested against an alternative hypothesis, h1: there is a significant difference in the 10th grade average math score and 10th grade average reading score. (Gloeckner, G. W., 2019)
Analysis
The dependent variable is score which is measured by the ratio scale of measurement. The independent variable is subject which is categorised as math and reading. Since the two groups of math and reading are dependent of each other by the same participant, paired-t test can be applied here. There are a few outliers in both the data sets as evident from the boxplot. With Skewness values of 1.8 and 1.1 for average math and reading score, their distribution is approximately normal and parametric test can be applied. (Babinec, A. J., 2017)
The mean 10th grade average math score is 165.69 with a low standard deviation of 39.65. The mean 10th grade average reading score is 169.87 with a low standard deviation of 44.172. (Demidenko, E., 2019)
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Descriptives |
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Statistic |
Std. Error |
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10th grade average math score |
Mean |
165.69 |
5.036 |
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95% Confidence Interval for Mean |
Lower Bound |
155.62 |
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Upper Bound |
175.76 |
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5% Trimmed Mean |
161.56 |
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Median |
158.00 |
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Variance |
1572.413 |
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Std. Deviation |
39.654 |
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Minimum |
114 |
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Maximum |
331 |
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Range |
217 |
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Interquartile Range |
45 |
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Skewness |
1.827 |
.304 |
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Kurtosis |
4.705 |
.599 |
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10th grade average reading score |
Mean |
169.87 |
5.610 |
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95% Confidence Interval for Mean |
Lower Bound |
158.65 |
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Upper Bound |
181.09 |
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5% Trimmed Mean |
166.83 |
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Median |
163.50 |
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Variance |
1951.163 |
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Std. Deviation |
44.172 |
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Minimum |
89 |
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Maximum |
327 |
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Range |
238 |
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Interquartile Range |
58 |
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Skewness |
1.103 |
.304 |
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Kurtosis |
1.967 |
.599 |
With t(61)=-3.021, p<5%, I reject null hypothesis at 5% level of significance and conclude that there is a significant difference in the 10th grade average math score and 10th grade average reading score. (Holcomb, Z. C., 2016)
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Paired Samples Correlations |
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N |
Correlation |
Sig. |
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Pair 1 |
10th grade average math score & 10th grade average reading score |
62 |
.972 |
.000 |
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Paired Samples Test |
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Paired Differences |
t |
df |
Sig. (2-tailed) |
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Mean |
Std. Deviation |
Std. Error Mean |
95% Confidence Interval of the Difference |
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Lower |
Upper |
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Pair 1 |
10th grade average math score - 10th grade average reading score |
-4.177 |
10.888 |
1.383 |
-6.942 |
-1.412 |
-3.021 |
61 |
.004 |
Conclusion
With t(61)=-3.021, p<5%, there is sufficient evidence to support the claim that there is a significant difference in the 10th grade average math score and 10th grade average reading score. (Ravid, R. 2019)
References
Ravid, R. (2019). Practical statistics for educators. Rowman & Littlefield Publishers.
Holcomb, Z. C. (2016). Fundamentals of descriptive statistics. Routledge.
Demidenko, E. (2019). Advanced statistics with applications in R (Vol. 392). John Wiley & Sons.
Stehlik-Barry, K., & Babinec, A. J. (2017). Data analysis with IBM SPSS statistics. Packt Publishing Ltd.
Morgan, G. A., Barrett, K. C., Leech, N. L., & Gloeckner, G. W. (2019). IBM SPSS for introductory statistics: Use and interpretation. Routledge.