There are five values with one missing. The original set had six values with a mean of 5, which means that the members of the set added up to thirty. The values we have total 19, the missing value is 11.
to find a missing number in a division problem you need to cross mulp. then add your diviser
A=14,b=8
To find the missing number in the equation 73 - 17 = ?, you would subtract 17 from 73. 73 - 17 equals 56. Therefore, the missing number is 56.
find the missing data. (assume that the data items are listed in order from least to greatest.) clues :mean =27 mode =30 Data: 10, 25, 27, ?, 30, ?
180 minus two known angle = missing angle. Use Pythagoras' theorem to find its missing side.
To find the missing mean in a set of data, you first need to know the sum of all the values in the data set as well as the total number of values. Once you have this information, you can calculate the missing mean by dividing the sum of all the values by the total number of values. This will give you the average value of the data set, which is the missing mean.
to find a missing number in a division problem you need to cross mulp. then add your diviser
A problem, in itself, has no value.
If it has to do with a customer I would ask them or a representative for some answer or to elaborate on the situation of missing data. Sometimes if they can't be reached you should try to research the company and or person to find some data to be added to that file folder or subject.
One reason I can think of why you might not be able to find the mean of numerical data would be if there were missing data points.
zero
The median uses the position of the data rather than their actual values. As a result, in general, you will only be able to determine whether the missing value is greater than or less than the median.
its 86
To deal with missing data in SPSS: Identify the missing data patterns in your dataset. Decide on an appropriate missing data handling strategy (e.g., deletion, imputation). For listwise deletion, go to "Data" > "Select Cases" and choose "Exclude cases listwise." For pairwise deletion, no specific action is needed in SPSS as it is the default option. For imputation, go to "Transform" > "Missing Value Analysis" and select the desired imputation method (e.g., mean substitution, regression imputation). Analyse your data after applying the chosen missing data handling strategy. If you need professional SPSS help for issues with the software, then you can get professional help also. You can find multiple online platforms providing services regarding SPSS software and different data analysis techniques.
A triangle using the law of sines
To find the missing value in a ratio table, first identify the known values in the corresponding ratio. Use cross-multiplication to set up an equation if necessary. For example, if the ratio of two quantities is known, you can express the missing value in terms of the known values. Finally, solve for the missing value using basic algebra.
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.