0
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%
What else can I help you with?
Which descriptive statistics are appropriate for qualitative variables and what are appropriate for quantitative variables and why?
For qualitative variables, appropriate descriptive statistics include frequencies and proportions, as they help summarize categorical data and show the distribution of different categories. For quantitative variables, measures such as mean, median, mode, range, variance, and standard deviation are suitable because they provide insights into the central tendency, spread, and overall distribution of numerical data. The choice of statistics depends on the nature of the data: qualitative data is categorical and non-numeric, while quantitative data is numeric and can be measured.
The count function can only be used with numeric data?
The Count Function can only be used with numeric data. true or false
A chart is a visual representation of numeric data?
Yes.
What fields store numbers used to perform calculations?
Numeric
Is employee address example of non numeric data?
yes
What is the difference between Weighted distribution and Numeric distribution?
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.
What the difference between a geometric and a numeric constraint?
Nothing
What is the difference between numeric data and non-numeric data?
Numeric data are numbers (like age, cost, etc.), while non-numeric data are not numbers (like name, address, etc.).
What is the difference between numeric array and associative array?
Numeric array has numbers(+integers) that represent the values Associative array has strings that represent the values
What is a difference between integer and numeric?
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.
What is the difference between grep and sed?
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.
What is the difference between sed grep and awk?
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.
How do you increase numeric distribution?
•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.
What are differences between data types numeric and non numeric?
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
What are the objectives of FMCG company?
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
What type of distribution is used to organize numeric data?
A common type of distribution used to organize numeric data is the normal distribution, which is characterized by its bell-shaped curve and symmetric properties around the mean. Additionally, other distributions such as the binomial distribution and Poisson distribution are used for specific types of data, particularly in cases involving discrete outcomes. These distributions help in understanding the underlying patterns and behaviors of the data, making it easier to analyze and interpret.
What is quantative data?
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.
