Answer:
√430 or 20.74
Step-by-step explanation:
√430
Prime factorize 430
√2 · 5 · 43
There are no pairs to take out of the root, so the most simplified form of √430 is √430.
If you want the decimal form, it is 20.74
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Answer:
x = 20 degree
Step-by-step explanation:
Hope this helps u !!
Answer:
You must provide more info!
Step-by-step explanation:
I don't know, due to lack of information!
Table 3 represents an arithmetic sequence.
Solution:
To find which table represents an arithmetic sequence:
In arithmetic sequence difference of each term is equal.

Table 1:

= –12 – (–6)
d = –6

= –24 – (–12)
d = –12
Here differences are not equal.
So table 1 not represents an arithmetic sequence.
Table 2:

= 9 – 7
d = 2

= 13 – 9
d = 4
Here differences are not equal.
So table 2 not represents an arithmetic sequence.
Table 3:

= 7.3 – 8.7
d = –1.4

= 5.9 – 7.3
d = –1.4

= 4.5 – 5.9
d = –1.4

= 3.1 – 4.5
d = –1.4
Here differences are equal.
So table 3 represents an arithmetic sequence.
Answer:
- Mean will Increase .
- Median remains unchanged.
- Standard deviation will increase.
Step-by-step explanation:
We are given that there are 14 employees in a particular division of a company and their salaries have a mean of $70,000, a median of $55,000, and a standard deviation of $20,000.
And also the largest number on the list is $100,000 but By accident, this number is changed to $1,000,000.
Now we have to analyse the Effect of this change in data values on mean, median, and standard deviation.
- Mean will get affected because $1,000,000 is a very huge value as compared to $100,000 and is considered to be an outlier and we know that mean is affected by outliers as mean will change to $134285.7143 after replacing $100,000 with $1,000,000 .
- Median will not get affected as median the middle most value in the data set and since $1,000,000 is considered to be an outlier so median remain unchanged at $55,000 .
- Standard Deviation will also get affected as due to outlier value in the data set the numerator value will increase very much and due to which standard deviation will also increase.