Access to customers (place, time competitiveness)
Customer service, brand support
Costs - price competitiveness
Asset Utilization- inventories, fixed assets
Geography is an important component of marketing strategy. The most important geographical aspect of the distribution channel is whether a retailer can extend beyond its own trade area.
Distribution is how goods and services actually get from the producer to the final user. In a business plan it is commonly known as the distribution channel and physical distribution. The distribution channel is the legal or contractual elements of how a product or service gets from production to the end user. A distribution channel is important for understanding the logistics of the business. It helps in the managing, planning, procurement, transporting, and storage of products. Just-in-time managment is having the products available for display and sale shortly before they're required. This helps reduce storage costs.
The answer choices need to be given to know which is used by parle g. To know this it is important to know which options there are for the answers.
intensive distribution, exclusive distribution, and selective distribution.
objectives of physical distribution
The Gaussian distribution is the single most important distribution.
They are both continuous, symmetric distribution functions.
Perhaps the key part of any distribution channel is the intermediary.
A comparison distribution type is what we use to make inferences from the data of our study or experiment. The researcher uses the comparison distribution to determine how well the distribution can be approximated by the normal distribution. Hypothesis testing is very important for every statistical test.
Transformers are an important part in the electrical distribution network. They step up or step down electricity.
Geography is an important component of marketing strategy. The most important geographical aspect of the distribution channel is whether a retailer can extend beyond its own trade area.
Distribution patterns are regular patterns of performance (or occurrence) of some thing that appears in different places. To understand distribution patterns, it is important to understand other factors, such as climate, landforms, and vegetation.
The normal distribution is very important in statistical analysis. A considerable amount of data follows a normal distribution: the weight and length of items mass-produced usually follow a normal distribution ; and if average demand for a product is high, then demand usually follows a normal distribution. It is possible to show that when the sample is large, the sample mean follows a normal distribution. This result is important in the construction of confidence intervals and in significance testing. In quality control procedures for a mean chart, the construction of the warning and action lines is based on the normal distribution.
weather and adaptability of location
weather and adaptability of location
Binomial distribution is the basis for the binomial test of statistical significance. It is frequently used to model the number of successes in a sequence of yes or no experiments.
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.