Search
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.

# Quantitative and Analytical Techniques for Managers - Essay Example

Summary
Quantitative and Analytical Techniques for Managers Name Professor Institution Course Date Quantitative and Analytical Techniques for Managers 1)The measures of central tendency is the average of the general distribution of values in a data set, in the case the Regional Gross Product per Capita and Gross Fixed Capital Formation per Capita in Chinese Provinces 2007…

## Extract of sample"Quantitative and Analytical Techniques for Managers"

Download file to see previous pages The regions that lie below the lower quartile of Gross Fixed Capital Formation per Capita in 2007 (Yuan) are Guangxi, Hainan, Sichuan, Guizhou, Yunnan and Gansu. However, the regions that fall below the lower quartile of the Gross Regional Product per Capita 2007 (Yuan) are Anhui, Jiangxi, Guangxi, Guizhou, Yunnan, Yunnan, Tibet and Gansu. The measures of central tendency have both strengths and weaknesses, for example, if the range between the highest and lowest figures is high, then the measures may be skewed. There are also effects of the outliers that may lead to wrong conclusion. However, the measures of central tendency are more advantageous because they help in working out the average score effectively and efficiciently. Table 1: descriptive statistics for Gross Regional Product per Capita 2007 (Yuan) Anderson-Darling A-Squared 2.450 p 0.000 95% Critical Value 0.787 99% Critical Value 1.092 Mean 21973.419 Mode #N/A Standard Deviation 13987.063 Variance 195637923.385 Skewedness 1.852 Kurtosis 3.263 N 31.000 Minimum 6915.000 1st Quartile 13575.000 Median 16206.000 3rd Quartile 25818.500 Maximum 66367.000 Confidence Interval 5130.496 for Mean (Mu) 16842.923 0.95 27103.915 For Stdev (sigma) 11177.229 18696.134 for Median 14492.000 19877.000 Table 2: descriptive statistics for Gross Fixed Capital Formation per Capita in 2007 (Yuan) Gross Fixed Capital Formation per Capita in 2007 (Yuan) Anderson-Darling A-Squared 1.632 p 0.000 95% Critical Value 0.787 99% Critical Value 1.092 Mean 10853.088 Mode #N/A Standard Deviation 6002.990 Variance 36035892.274 Skewedness 1.412 Kurtosis 1.492 N 31.000 Minimum 3619.860 1st Quartile 6183.730 Median 8947.050 3rd Quartile 13306.875 Maximum 27133.480 Confidence Interval 2201.915 for Mean (Mu) 8651.173 0.95 13055.002 For Stdev (sigma) 4797.061 8024.037 for Median 7525.730 10499.510 1 Calculate Pearson’s correlation coefficient between Gross Regional Product per Capita and Gross Fixed Capital Formation per Capita and discuss its size, sign and significance. Why do you think the correlation is high? In statistics, Pearson product-moment correlation coefficient (denoted by r) measures the linear correlation or linear dependence that occurs between linear variables. For example, in this case, the Gross Regional Product per Capita and Gross Fixed Capital Formation per Capita are the main variables. This measure shows then strength of the correlation or linear dependence between the main variables. The variable may take the value of +1 and ?1 both inclusive. If the correlation is +1 or -1, then variables are perfectly correlated. However, the inference is always the bone of contention as it depends on these rules. In this case the correlation is 0.934093899531846, this is strong correlation. It indicates that the Gross Regional Product per Capita 2007 (Yuan) and the Gross Fixed Capital Formation per Capita in 2007 (Yuan) are strongly correlated Pearson Product Moment Correlation - Ungrouped Data Statistic Gross Regional Product per Capita Gross Fixed Capital Formation per Capita Mean 21973.4193548387 10853.0877419355 Biased Variance 189327022.630593 34873444.1364433 Biased Standard Deviation 13759.6156425459 5905.37417412676 Covariance 78430448.3909785 Correlation 0.934093899531846 Determination 0.87253141314261 T-Test 14.089252394164 p-value (2 sided) ...Download file to see next pagesRead More
Cite this document
• APA
• MLA
• CHICAGO
(“Quantitative and Analytical Techniques for Managers Essay”, n.d.)
(Quantitative and Analytical Techniques for Managers Essay)
https://studentshare.org/statistics/1397427-quantitative-and-analytical-techniques-for.
“Quantitative and Analytical Techniques for Managers Essay”, n.d. https://studentshare.org/statistics/1397427-quantitative-and-analytical-techniques-for.
Click to create a comment or rate a document
CHECK THESE SAMPLES - THEY ALSO FIT YOUR TOPIC
QUANTITATIVE DECISION MAKING
It is often referred to as the mathematical method of analysis. The different statistical techniques incorporated within it give meaningful shape to otherwise haphazard and raw data related to an organization. This meaningful representation of data enables decision making and future forecasting easier for managers of an organization.
1 Pages(250 words)Essay
Quantitative Analysis for Managers
This essay provides the reader with comprehensive detailed information on the allocation basis and possibilities of two products, that were explored, such as Rona Loa coffee and Colombian coffee along with their related implications and recommendations, that were provided for the study. Detailed working regarding the calculation of these amounts were also given in the Appendix part.
3 Pages(750 words)Essay
Projective Techniques
While carrying out the research work, various tools, techniques and tactics are applied so that findings would be understandable. From the inception of research work till date, diverse research methodologies have been adopted by the researchers to uncover the hidden data.
6 Pages(1500 words)Essay
According to the paper, the valuable and resourceful insight, that quantitative method adds to the repertoire of business analysis, greatly influences the effectiveness of whole management activity. Businesses may have many divisions, in which the method needs to be implemented in order to ascertain the tendencies of the business environment.
3 Pages(750 words)Essay
Operations Management & Quantitative Techniques
At the end of week 1 we have an ending inventory of 23500 units followed by 43500 units, 62000 units, 86950 units, 113350 units, 141850 units, 176450 units and 214650 units respectively for weeks 2,3,4,5,6,7 and 8 respectively. They increase as the weeks progress mainly because the number of orders made per week decline as weeks progress as follows; in week one we have a promised shipment of 23500 for week 1 followed by 23000, 21500, 15050, 13600, 11500, 5400, and 1800 for weeks 2,3,4,5,6,7, and 8 respectively.
7 Pages(1750 words)Research Paper
Quantitative Techniques
their businesses by mere guts and go by certain assumptions, which may or may not turn out to aid in the performance of the business strategy adopted thereafter. However, the number of people who succeed in such endeavors are quite minimal and this has necessitated the
2 Pages(500 words)Essay
Analytical techniques
All the facets of human life like business, healthcare, accounting and finance, languages, scientific studies, social scientific studies, sales and aviation
7 Pages(1750 words)Essay
Quantitative and Analytical Techniques for Managers Coursework
The data indicate that the 30 provinces of the People’s Republic of China are highly variable with regard to the gross regional product. Based on the data above, the 2007 gross regional product is as low as
10 Pages(2500 words)Essay
This assignment has selected four stocks from the S&P 500 index. The stocks are of companies Microsoft Corporation (MSFT), Apple, Inc. (AAPL), Intel Corporation (INTC), and Hewlett-Packard (HPQ). The objective of this assignment is to
7 Pages(1750 words)Essay
3. What conclusion can you draw by examining the kurtosis in each case? The kurtosis in each of the returns is greater than three. This means that it is platykurtic distributed. It is flatter than normal distribution and wider at the peak. The probability is less than the normal distribution and it is wider at the mean.
3 Pages(750 words)Case Study
Let us find you another Essay on topic Quantitative and Analytical Techniques for Managers for FREE!
+16312120006