'Marketing through sports involves the strategic marketing efforts of companies in which they partner with a sports entity for some commercial benefit.
Marketing strategy is the process that enables a company to focus its limited resources on the greatest opportunities to increase sales and achieve a sustainable competitive advantage.
Marketing activities are the resources companies spend to promote their products and services. Through marketing activities, businesses can generate demand and interest in their products and increase awareness among potential customers.
marketing strategy helps you discover areas that will be impacted by business growth, thereby helping you create organizational plans that address customer needs. It helps organizations appropriately price their goods and services based on information gathered through market research.
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Answer: Stratified random sampling
Explanation:
Given : The manager of the customer service division of a major consumer electric company is interested in determining whether the customers who have purchased a Blu-ray player made by the company over the past 12 months are satisfied with their products. If there are 4 different brands of Blu-ray players made by the company.
The best sampling strategy which we can use is stratified random sampling because it is not much costly and also it induces the efficiency . We can me different strata according to the 4 brands , then we can randomly select participants for the sample.
- Stratified random sampling is a method of probability sampling in which a researcher divides the entire population into multiple homogeneous groups known as strata and then he randomly select an sample members from each strata for research .
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
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You can easily apply for loans and support funds both within and outside the country. It also grants you access to funding from the government and private sector.
Answer:
A. Time series
B. Cross Sectional
C. Panel
D. Cross Sectional
Explanation:
(a) Quarterly data on the level of U.S. new housing construction from 2000 to 2018, Time series data, numerical
(b) Data on number of doctor visits in 2018 for a sample of 192 individuals. Cross sectional data, numerical
(c) Data on annual health expenditures for each U.S. state from 2000 to 2018. Panel Data, Numerical
(d) Data on usual mode of transportation used to commute to work for a sample of 151 individuals. Categorical
