What is the missing number and why?

  • Thread starter Equate
  • Start date
In summary, the missing number is 4 because when looking at the total for each column and row, it can be seen that there is a 1:1 ratio between the frequency of column sums and row sums. Additionally, using 4 as the missing number maintains this ratio and fits the pattern of adding or subtracting 3 from the column sums and adding or subtracting 1 from the row sums.
  • #1
Equate
78
0
What's the missing number and why?

http://img18.imageshack.us/img18/2408/a89raetsel.png​
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  • #2
5 [and this just to submit the post, damn 4 characters! :grumpy:]
 
  • #3
drizzle said:
5 [and this just to submit the post, damn 4 characters! :grumpy:]

why?
 
  • #4
ƒ(x) said:
why?

21
23
25
27
 
  • #5
I thought that too, but you beat me to it. You don't think there might be a pattern in the columns?
 
  • #6
24 22 22 28 :biggrin:

hold on a sec!
 
  • #7
1st sum [raw]= 1st sum [column]-3
2nd sum [raw]= 2nd sum [column]+1
3rd sum [raw]= 3rd sum [column]+3
4th sum [raw]= 4th sum [column]-1

so :rolleyes:
 
  • #8
I guess that works. But this puzzle could have more than one answer. When you add all of the number up you get 91. So the ? could be a 9, making the total a perfect square :biggrin:
 
  • #9
Another (and stupid) way to get 5:

Each row and column has two numbers that have 4 letters, hence the missing number must have 4 letters. Each row has an odd number of odd values, and each column has an even number of odd values. Hence, the missing number must be odd. The only choices being 5 or 9. Looking at the rows, no number is more than 3 away from its neighbors, hence, the number cannot be 9, and must be 5.

DaveE
 
  • #10
What about 4?

Look at the total for each column and each row.

Column 1: 24
Column 2: 23
Column 3: ?
Column 4: 27

Row 1: 21
Row 2: 23
Row 3: ?
Row 4: 27

If you use 4, that means the 3rd row is 24 and the 3rd column is 21. Therefore there is a 1:1 ratio of the frequency of column sums to row sums.

..right?
 
  • #11
revelations said:
What about 4?

Look at the total for each column and each row.

Column 1: 24
Column 2: 23
Column 3: ?
Column 4: 27
Row 1: 21
Row 2: 23
Row 3: ?
Row 4: 27

If you use 4, that means the 3rd row is 24 and the 3rd column is 21. Therefore there is a 1:1 ratio of the frequency of column sums to row sums.

..right?

check it :)
 

1. What is "Missing #"?

"Missing #" refers to a missing data point or value in a dataset, where the value was expected to be present but is not recorded or available.

2. Why is "Missing #" a concern in scientific research?

Missing data can impact the accuracy and reliability of research findings, as it can lead to biased results and inaccurate conclusions if not addressed properly.

3. What causes "Missing #"?

There can be various reasons for missing data, including human error in data collection, equipment malfunction, and data loss during storage or transfer. It can also result from participants dropping out of a study or not responding to certain questions.

4. How can scientists handle "Missing #" in their data?

There are various methods for handling missing data, such as imputation (replacing missing values with estimated values), deletion (removing the entire data point with missing values), or using statistical techniques such as mean substitution. The appropriate method will depend on the type of data and the research question.

5. What are the potential limitations of dealing with "Missing #"?

The method used to handle missing data can introduce bias or affect the validity of the results. Additionally, if a large amount of data is missing, it can impact the power and generalizability of the study. It is crucial to carefully consider and report the approach used to handle missing data in any scientific research.

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