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# Statistics Case Study

Tech Tierra Forecasting
For appropriate assessment of the distribution of the underlying sales, we utilized the stat tools, single variable summary and time series as depicted within the Graph 1 and Table 1.The prevailing time series plot depitct stable upward trend within the slaes. Moreover, it also depicts existence of robust seasonal variations. The plot also depict that the prevailing variation escalates with time. A suitable time series model homogenity of the variance over a paricular time is a significant
Pages: 4 (1000 words), Case Study
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Marsh's Metals
Bob wants to maximize his profit by choosing an alternative.A Precision tree is constructed for the given scenario using two possible alternatives, sell the rhenium to Fleishman or to Huffman, and sell the remaining ore on the open market. The branch with the maximum Expected Monetary Value (EMV) will determine the possible alternative.Marsh’s Metals has two alternatives, sell to Fleishman or to Huffman. This is shown in decision tree by the branches ‘Fleishman Refining Company’ and
Pages: 4 (1000 words), Case Study
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Correlation / Regression tools
For instance if there are 2 variables x as well as y, with the data taking the form of n pairs, then algebraically; [x1, y1], [x2, y2], [x3, y3]… [Xn, yn], the following equation can then give the correlation coefficient;Whereby; x is usually the mean figures of the x values, in addition to the y which is the mean of the y figures. Normally, this is what is commonly referred to as the Pearson correlation coefficient. It is a known fact that r value at all times ranges between -1 and + 1.A
Pages: 4 (1000 words), Case Study
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Case 4
This means that the organization discriminates employees based on performance indicators, age, and education. There is however no significant difference across measures of tenure, marital status and position in the organization.The analysis results identify age-based discrimination in employees’ layoff in the organization. Identified discrimination, based on level of education, supports this while no discrimination exist along the other factors. The client’s claim is therefore valid.Based
Pages: 6 (1500 words), Case Study
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Data analysis for statistics
The descriptive statistics of annual income, interest paid and loan given to the client are computed in Table 1.The maximum annual income is \$250000 and the minimum income is \$8412. The data is Skewness and Kurtosis indicate > 1 thus the income data is skewed to the right the normal distribution. The average income of the loans applicant is \$71554, with mode of \$60000 and median of \$59000. The table indicates that average loan approved is \$11260 attracting an average interest of \$2343.Table 2
Pages: 6 (1500 words), Case Study
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