numeric distribution is simply the number of items that have that thing divided by he total number of the sample, regardless of size or contribution.
weighted distribution is the number of items that have that thing multiplied by the weight of that thing divided by the total number of the sample.
example in sales
if a group of 100 retailers is the sample, 70 of them are keeping a certain product and the other 30 do not
then the numeric distribution of the product in this group is 70%
if all retailers have the same contribution to the sales to consumers, then the weighted distribution is 70% too
but if those 30 retailers (who do not keep have the product) contribution to the sales to consumers is 60%, then the weighted distribution of the 70 retailers having that product is only 40%
The Count Function can only be used with numeric data. true or false
Yes.
yes
Numeric
Any type of analysis that deals with numeric data (numbers) is quantitative analysis. Qualitative analysis, on the other hand, does not have numeric data ( for example, classify people according to religion).
ND measures the number of outlets per total number of outlets from the specific market, while WD measures how much the outlet sells of the total volume.
Nothing
Numeric data are numbers (like age, cost, etc.), while non-numeric data are not numbers (like name, address, etc.).
Numeric array has numbers(+integers) that represent the values Associative array has strings that represent the values
numeric means pertaining to a number or numeral and integer is a special type of number such as ...-3,-2,-1,0,1,2,3... where ... means it goes on forever.
The major difference between SED GREP and AWK is that SED allows you to find a pattern address. AWK only allows you to find a numeric address.
The major difference between SED GREP and AWK is that SED allows you to find a pattern address. AWK only allows you to find a numeric address.
•Explanation: Mathematical Teamnumeric distribution is the number of outlets in a given marketplace who carry or sell a particular brand, divided by the total number of outlets in the marketplace.•For example if there are ten Clothing, and three sell Levis the numeric distribution would be 30% or 10% per outlet.
Numeric data are data that can be quantify. i.e age, e.t.c While Non-numeric data are data that cannot be quantify but can be categorise. Such as colour, name e.t.c
Improve efficiency Reduce losses Ensure consistent quality of all productsReduce returns significantlyIncrease numeric/weighted distribution on key SKUsImprove forecast accuracy (Strengthening S&OP system)Reduce Long Term Agreement with key accountsUse creative ideas to manage supply
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
Dealing with engineering or CAD, a geometric constraint deals with constraints such as parallel or perpendicularity. A numeric constraint deals with distances and size. Width, length, and depth are examples of these.--------Geometric constraints are constant, non-numerical relationships between the parts of a geometric figure. Numeric constraints are number values, or algebraic equations that are used to control the size or location of a geometric figure :)