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Importance of role of statistics
Quiz on confidence interval
The role of business statistics
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Recommended: Importance of role of statistics
Confidence interval are extxemely valuable for any usability professional. A confidence interval is a range that estimate the true population value for a statistics.---Tom Tullis and Bill Albert
Business, like many other fields, can benefit from the use of statistics in estimating or predicting future events.An important tool for business statistics is confidence interval, which help a business evaluate the reliability of a particular estimate. Because no estimate can be 100 percent reliable, business must be able to know how confident how they should be in their estimate or whether or not to act on them.
Confidence Interval :- In statistics, a confidence Interval gives the percentage probability that can estimated range of possible values in fact include the actual value being estimated. e.g.a business might estimate that a machine uses 10 lbs. of plastic for each unit of a product created. Because the machine can not be expected to use precisely 10 lbs. Per unit, a confidence Interval can be created to give a range of possibilities. The company might predict that there is a 95 percent chance that the machine uses on average between 9.85 to 10.5 lbs. of plastic per unit.The confidence Interval in this example is 95 percent, and the likelihood that the actual amount of plastic used is outside the estimated range is 5 percent.
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Marketing is an important function for most firms, particularly when estimating their level of future sales. A company will want to have an idea of how many products it will sell in a given financial period, but cannot know true number with certainity until after the end of the period.By collecting data from customers, past sales numbers and other sources, a company can statistically estimate the value of duty sale. By using a confidence Interval, the company can determine the range it's sales are likely to
Market research and information about the industry is very important to the organization because it will allow the organization to position itself well in terms of sourcing chocolate raw materials and in identifying the market for its products. For example, understanding that some chocolate product purchases are seasonal, e.g., at Christmas; around Mother’s Day; and, on Valentine’s Day, allows the organization to have more product on hand and to create displays, in store, that will increase purchases and attract more customers when existing customers tell their friends about the availability of high end products, at reasonable prices, in their store.
Information is a key component, which is virtual source in all aspects of business. Information helps create a well balance between analytics, business information, customers, vendors, and sales. Without proper use of information, businesses may struggle to understand components of their business, such as monitoring information, validated decision making, performance measuring, and the ability to identify new business opportunities. In this text, there will dialogue on how a Laboratory Corporation of America, also known as LabCorp, uses each one of these functions, to ensure better business practices, and proper regulatory control of the business components, that make this business strive.
While analyzing the data for The Body Shop International case, I noticed some trends and have compiled my assumptions for the next three years. I have compiled pro-forma statements for the fiscal years 2002, 2003 & 2004. These figures are based on the percentage of sales method for pro-forma financial modeling. Simply put, I used the sales figures from the past three years 1999, 2000 & 2001 and applied a growth rate of 13% increase to sales. Below are some additional assumptions that I have created to illustrate how the firm can become profitable while increasing market share and maintaining stockholder interest within the firm over the next three years.
Managers associated with shopping areas like the Springdale shopping area gain useful insight through point estimates regarding a number of variables describing the characteristics and behaviors of their customer base. Being able to have confidence in survey results In addition, it is helpful for them to have some idea as to the likely accuracy of these estimates. The results of surveys may be used to enhance store layout, development of employee skills, and influence purchasing habits.
Before being considered a measure of the true profit, reliability of profit figures shall be
We are using October 2006 as the base for our forecasted sales due to the many changes that have occurred in the last year. Several product lines have been ...
Through this paper I will conduct an analysis of the uncertainty reduction theory and will then apply it to my own experience here in Colorado university.
Kotler, p & Keller, K. (2006). Marketing Management (12th Ed). New Jersey: Pearson Education, Inc.
... demand as a function of marketing variables, such as price or promotion. These involve building specialized forecasts such as market response models or cross price elasticity estimates to predict customer behavior at certain price points. By combining these forecasts with calculated price sensitivities and price ratios, a Revenue Management System can then quantify these benefits and develop price optimization strategies to maximize revenue.
This method is something that many organizations are relying upon today. In fact, well over 30% of organizations state that they rely on data analysis for the majority of their marketing
They wanted to try and introduce the product into two different markets: the industrial and business markets. They had a potential market size of 7 million vehicles and they want to market to the snow belt of America. The snow-belt represents about 50% of the nation. With that being said, the snow-belt market size would be 3.5 million vehicles. As a basis for forecasting the products sales, Webster had reviewed a study about winter driving habits of U.S. drivers. This study indicated that 18% of the cars in the snow-belt area got stuck at least 1 time during the winter. It also indicated that the average driver got stuck 1.6 times per winter. He knew that the study was several years old so he expected those numbers to be higher because of the increase in the production of smaller, lighter cars.
Currently, businesses want to use the information effectively for competitive advantage to make better decisions that improve and optimize business processes, predict the market dynamics accurately, optimize forecasts to adequately maintain resources to name a few reasons.
Business forecasting can be used in a wide variety of contexts, and by a wide variety of businesses. For example, effective forecasting can determine sales based on attendance at a trade show, or the customer demand for products and services (Business and Economic Forecasting, p.1). One of the most important assumptions of business forecasters is that the past acts as an important guide for the future. It is important to note that forecasters must consider a number of new information, including rapidly changing economic conditions and globalization, when creating business forecasts based on past sales.
Briefly it is a systematic design, collection, analysis, and reporting of data and findings relevant to a specific marketing situation facing the company, allows management to make the changes necessary for better results through adopting a proactive approach. Therefore, if a company wants to know what type of products or services would be profitable it should make a market research. Furthermore, a comprehensive research will enable the company to know about the product imperfections (if there are) and to know if it has been able to satisfy customers’ needs. It attempts to provide accurate information that reflects a true state of affairs. Due to market research the company can formulate a viable marketing plan and estimate the success of its existing plan. There are two main sources of marketing research information:
Options- It is very strong analytical tool with good Information technology which enables companies to ramp up or scale back their investments later as the market evolves. Provides companies with big pay offs during the best situation and minimizes losses in the worst situation