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Personal Protective Equipments (PPE’s)• Personal protective equipments commonly referred to as “PPE “includes all clothing and work accessories designed to protect employees from injury or infection. • It refers to the protective clothing, helmets, hard hats, hearing protectors, respirators, goggles or other garments or equipment’s meant to protect the wearers’ body from injury by heat, chemicals, infection, electrical hazards, airborne particulate matter etc. • The purpose of personal
Quantitative
Quantitative techniques may be defined as those techniques which provide the decision makes a systematic and powerful means of analysis, based on quantitative data,Quantitative techniques may be defined as those techniques which provide the decision makes a systematic and powerful means of analysis, based on quantitative data There are different types of quantitative techniques. We can classify them into three categories. They are: Mathematical Quantitative Techniques Statistical Quantitative Techniques
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Standard deviation: average measure from data and mean (square root of variance).How far the data is on average from the mean.
Solve: Find the variance and take the square root of it.
Coefficient of Variation: standard deviation of two sets of data. Shown as as a percentage and measures the variation side by side with the mean
Solve:: CV = standard deviation/ mean * 100
Counting numbers is discrete
Center and Variability:
Descriptive Measures: a single number thats comes from the sample data
Central
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Any marketing actions a firm takes today can change consumer’s brand awareness or brand image and have an indirect effect on the success of future marketing activities. For example; the frequent use of temporary price decreases as sales promotions may create or strengthen a “discount” association to the bran, with potentially adverse implications on customer loyalty and responses to future price changes or non-price-oriente marketing communication efforts. Marketers must actively manage brand
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Cluster: A collection of data objects
similar (or related) to one another within the same group
dissimilar (or unrelated) to the objects in other groups
Cluster analysis (or clustering, data segmentation, …)
Finding similarities between data according to the
characteristics found in the data and grouping similar
data objects into clusters
Unsupervised learning: no predefined classes (i.e., learning
by observations vs. learning by examples: supervised)
Typical applications
As
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New products and brand extensions:
New products are often vital to the long run success of a firm. When a firm introduces a new product, it has three choices for branding it:
It can develop a new brand, individually chosen for the new product.
It can apply one of its existing brands.
It can use a combination of a new brand and an existing brand.
A brand extension occurs when a firm uses an established brand name to introduce a new product. When a new brand is combined with an existing brand,
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