Nobody downloaded yet

The Use of Statistics in Marketing - Term Paper Example

Comments (0) Cite this document
The researcher of this term paper aims to analyze The Use of Statistics in Marketing. Organizations have been using the statistical data to compare markets, production, finance security controls and almost every aspect of a business since the numbers act as a clear indicator for the company…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER98.1% of users find it useful
The Use of Statistics in Marketing
Read TextPreview

Extract of sample "The Use of Statistics in Marketing"

Download file to see previous pages Statistical data on marketing is essential for a company and should be well-tabulated to ensure that the data is used in the marketing research applications that the data is meant to improve. The company may conduct a survey on advertising and other marketing tools such as product promotion and measure the level of sales that have been influenced by marketing tools (Balakrishnan, 2010). The company needs to conduct customer surveys and come up with the best structure and techniques in marketing that are not only attractive to the customers in the market but also offer a competitive advantage over the competitors (Balakrishnan, 2010). The methods employed by the company need to be assessed statistically to measure if they are working within the company and also measure if they have worked in other companies through their records. The analysis part is particularly simpler since the statistical data ensures that the information is properly structured and therefore easy to analyze.

Data Sources in Marketing. In marketing, data forms a critical part of research where it provides the information crucial in determining the research area. Acquiring the right data needs the research to identify the data collection method critical in the research and that provides sufficient information regarding the subject under the study (Mazzocchi, 2008). Before discussing the data sources available, it is important that one understands that there are two types of data that is critical to the research. These are primary and secondary data. These two types of data are crucial in the research work and should be utilized for the perfection of the results. In addition, the two types of data help in confirmation of the existing theory from the primary data perspective and secondary data analysis. Primary data are collected through the use of ad-hoc surveys that are built for the study purposes while the secondary data is collected from previous studies and official statistics in the given area (Mazzocchi, 2008). ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Staistics for Managers Final Project Term Paper”, n.d.)
Staistics for Managers Final Project Term Paper. Retrieved from
(Staistics for Managers Final Project Term Paper)
Staistics for Managers Final Project Term Paper.
“Staistics for Managers Final Project Term Paper”, n.d.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document

CHECK THESE SAMPLES OF The Use of Statistics in Marketing

Phone Calls Made Home by Undergraduate Students

... main effects are possible. A univariate analysis of variance (factorial ANOVA) was conducted on SPSS 18.0 to determine the significance of these three possible effects. The first thing to check when conducting a factorial ANOVA is Levene’s Test of the equal variance assumption. This test had a p=0.624, indicating that the equal variance assumption has not been violated. Since we can assume equal variance, we can use the given F and p statistics given in the between subjects table. The 4x2 ANOVA failed to demonstrate an interaction effect at the 0.05 error level between class and gender (F(3,32)=0.901, p=0.451), but did demonstrate a significant main effect for class (F(3,32)=18.342, p<0.001). Class had a partial eta-squared (effect size... Due Statistics Report II This study...
2 Pages(500 words)Statistics Project


...?Because there are 50 numbers, we can divide these numbers into groups of 10 (5 groups). Next we subtract the lowest number from the highest number (76 — 16 = 60). After this, we will divide the difference by the number of groups that we came up with (60 / 5 = 12). Once we get the class width (12), we add it to the lowest number in order to get the lowest class limit (16 + 12 = 28). If we keep on repeating this step, we can determine all the appropriate class limits (28 + 12 = 40, 40 + 12 = 52, 52 + 12 = 64, and 64 + 12 = 76). Because these are the maximum limits, we have to subtract 1 from each class limit (16 + 12 — 1 = 27, 28 + 12 — 1 = 39, 40 + 12 — 1 = 51, 52 + 12 — 1 = 63). Now that we have worked this out, we can create... there are 50 ...
1 Pages(250 words)Math Problem


...) explores how adolescent depression influences the course of angry and dysphoric adolescent on their emotional behaviors within the parent-adolescent interactions. The study consisted of 72 depressed and 69 of non-depressed youths, in which they were recorded during positive and conflictual engagement with their parents. The statistical data analysis method used was a second-to-second binary data, which were changed to data showing the incidences of a particular affective behavior within a perpetual 60s throughout the interaction, which was aimed at depicting the emotional behavior incidents. Sheeber et al. (2012) supports theory that depression is directly connected to the increased occasions of...
4 Pages(1000 words)Essay


...? Credit will be given for answers to ALL questions. There are three sections to this project – A, B and C. Section A is a short Statistics Quiz, andis worth a total of 10 marks. Section B has four questions, which use your own personal datasets, and is worth a total of 70 marks. Section C is a critical appraisal of a technical paper (chosen by you) which has some statistical analysis in it, and is worth 20 marks. To find your personal dataset number for the questions in section B, enter Blackboard and click on MAR8001. Click on Topic 3: Statistics, click on Project and click the link Personalized Data Set Numbers 2013. Find your name in the list and make a note of your dataset number. You will use this to access your own datasets... other....
10 Pages(2500 words)Essay


...The performance of 52 banks on their revenue, profits and number of employees was evaluated by analyzing the data. The statistics is presented in table 1, below: Table 1: Statistics of 52 banks on revenue, profits and number of employees Revenue Profits Employee Mean $6,615 $828 22,087 Median $ 3,583 $425 12,600 Range $33,650 $3,633 89,816 Variance $58,033,924 $792,100 459,630,721 Standard Deviation $7,618 $890 21,439 Based on the analysis, it can be said that the average revenue, profits and number of employees for the 52 banks under this study are $6,615,000, $828,000 and 22,087 respectively. Bank Ten is above average in terms of all three parameters. The revenue of Bank Ten was $19,875,000, which is ~...
2 Pages(500 words)Essay

Descriptive statistics/inferential statistics

...Survey Research Select a quantitative article that is related to your research question in which the results of some type of a survey are reported. Examine the demographic statistics and the means and standard deviations for items on the survey. What do they tell you about the sample? Discuss the ethical issues related to gathering demographic and survey data.  The study chosen was the Williams et. al. (1998) study wherein the researchers attempted to evaluate the extent to which patient literacy was related to their knowledge of asthma and effective use of the MDI. The study presents demographic statistics predominantly in the form of frequencies and percentages, and some in the form of means and S.D.’s. The data shows us... ? Read the...
2 Pages(500 words)Assignment


..., particularly in the U.S. This research paper therefore aims at establishing the relationships between the changes in the GDP and house sales. In determining such relationships, this research paper will focus on literature material and the statistical inferences. Resources The link between GDP and the change in the sales of the housing and real estate units is evidenced by the data on the performance if these two variable over time. The data from the department of labor and economics show that these two variables have a strong positive relationship. This is evidenced by the great global economic and financial crisis of 2009 that negatively affected the housing and real estate sector through the housing bubbles. These...
2 Pages(500 words)Research Paper


...Statistics Introduction Carbon dioxide’s concentration in the atmosphere is changing from time to time across the years. There are a number of evidences which show that the concentration of atmospheric carbon dioxide has been steady increasing globally. This rise is attributed to increasing human and industrial activities across the globe. Unlike moisture in the atmosphere, carbon dioxide is mixed well in the atmosphere thus its circle can go unnoticed due to relatively slow changes. The level or rather the amount of carbon dioxide in the atmosphere is measured easily because it is a greenhouse gas; causing surface warming. Therefore, this paper presents carbon dioxide data and a presentation of its trend over the...
4 Pages(1000 words)Essay


...due Statistics Assignment Question Summary Statistics Life Expectancy Mean 76.0752 Standard Error 0.257757 Median 76.38245 Mode #N/A Standard Deviation 1.840753 Sample Variance 3.388371 Kurtosis -0.55827 Skewness -0.66657 Range 6.808189 Minimum 71.86361 Maximum 78.6718 Sum 3879.835 Count 51 From the summary statistics, the data is normally distributed with the mean approximately equal the median. (76.0752 ≈ 76.38245). Moreover, the skewness is not statistically different from zero. Question 2 Life expected can be termed as directly influenced by the average income. The scatter diagram shows that higher income earners have higher life expectancy. Note also that the...
2 Pages(500 words)Assignment


...Predictors of Homes’ Prices There are a number of factors in real e industry that determine the home prices. These factors can be categorized into two (environmental or structural). Environmental factors comprise of accessibility to quality facilities such as schools, shopping malls, health facilities and means of transport whereas structural factors include the size of the house in square feet, number of bathrooms and number of bedrooms. Thus, this paper focuses on the structural factors in real estate and housing. It investigates how number of bedrooms, number of bathrooms and size in square feet affect general house prices. Additionally, the regression model created in this paper is used to discuss the variation in...
3 Pages(750 words)Essay
sponsored ads
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.

Let us find you another Term Paper on topic The Use of Statistics in Marketing for FREE!

Contact Us