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505-555 Level|   Statistics and Sets Problems|                        
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Bunuel
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Its D..

1)square root of variance is standard deviation.. so it will be 2.. that is less than 3 ..sufficient

2) s.d is 2 .. that is less than 3.. sufficient..

so D is the answer..

OA?????
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Is the standard deviation of the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?

(1) The variance for the set of measurements is 4.
(2) For each measurement, the difference between the mean and that measurement is 2.

1 Statement:

s.deviation = sqrt(variance) = > thus, the std is 2. Sufficient;


2 Statement:

The standard deviation cannot be greater than the difference of observation and the mean of the population, (take min and max of the population compare to mean). Thus, we can safely assume that the std is less than 3. Sufficient.
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Bunuel
SOLUTION

Is the standard deviation of the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?

CALCULATING STANDARD DEVIATION OF A SET {x1, x2, ... xn}:
1. Find the mean, \(m\), of the values.
2. For each value \(x_i\) calculate its deviation (\(m-x_i\)) from the mean.
3. Calculate the squares of these deviations.
4. Find the mean of the squared deviations. This quantity is the variance.
5. Take the square root of the variance. The quantity is th SD.

Expressed by formula: \(standard \ deviation= \sqrt{variance} = \sqrt{\frac{\sum(m-x_i)^2}{N}}\).

(1) The variance for the set of measurements is 4. The variance is just the square of the standard deviation, so if \(variance=4\) then \(SD=\sqrt{4}=2\). Sufficient

(2) For each measurement, the difference between the mean and that measurement is 2. So, we have that \(m-x_i=2\), since N=20 then we know everything to calculate the standard deviation. Sufficient.

Answer: D.

For more on that subject check:
Math Book chapter on SD - math-standard-deviation-87905.html
PS questions on SD - ps-questions-about-standard-deviation-85897.html
DS questions on SD - lately-many-questions-were-asked-about-the-standard-85896.html

Learned a new thing today ;)
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I am of the opinion that calculation is not needed to prove D is sufficient.

Standard deviation of an observation is how far it is from the mean of the observations.
so by definition of SD, D is sufficient..

Please correct me if my understanding is wrong.
Regards,
Sach
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For 2 to hold good,

say mean is 4 and for each of the 20 measurements to have a difference of 2 from the mean, all the measurements have to be either 2 or 6. .

Please correct me if my understanding is not correct.
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Nice Official Question.
Here is what i did on this Question=>
We need to see if the SD is less than 3 or not.

Statement 1->
Variance =4
Hence S-D=2

Hence Sufficient

Statement 2=>
Using the equation => S.D = \(\sqrt{\frac{\sum(Mean-x_i)^2}{N}}\)
S.D => 2
Hence Sufficient

Hence D
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For the second expression, given m-xi = 2
does the SD= \sqrt{4/20} ?
This does not equal 2, which is the answer stated in the thread
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For the second expression, given m-xi = 2
does the SD= \sqrt{4/20} ?
This does not equal 2, which is the answer stated in the thread

Hi

Each m - xi = 2, so there are twenty such 2's. So first we will find variance, and then find square root of that variance to get SD.
To get variance, we need to square all the values of (m - xi), and then find their average.

Since all (m - xi) are 2, their squares will be '4', and thus their average will also be '4'.
So our variance is 4 - it becomes same as first statement. SD = √variance = √4 = 2.
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Bunuel
SOLUTION

Is the standard deviation of the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?

CALCULATING STANDARD DEVIATION OF A SET {x1, x2, ... xn}:
1. Find the mean, \(m\), of the values.
2. For each value \(x_i\) calculate its deviation (\(m-x_i\)) from the mean.
3. Calculate the squares of these deviations.
4. Find the mean of the squared deviations. This quantity is the variance.
5. Take the square root of the variance. The quantity is th SD.

Expressed by formula: \(standard \ deviation= \sqrt{variance} = \sqrt{\frac{\sum(m-x_i)^2}{N}}\).

(1) The variance for the set of measurements is 4. The variance is just the square of the standard deviation, so if \(variance=4\) then \(SD=\sqrt{4}=2\). Sufficient.

(2) For each measurement, the difference between the mean and that measurement is 2. So, we have that \(m-x_i=2\), since N=20 then we know everything to calculate the standard deviation. Sufficient.

Answer: D.

For more on that subject check:
Math Book chapter on SD - https://gmatclub.com/forum/math-standard ... 87905.html
PS questions on SD - https://gmatclub.com/forum/ps-questions- ... 85897.html
DS questions on SD - https://gmatclub.com/forum/lately-many-q ... 85896.html

Bunuel can you please elaborate on second statement you say " So, we have that \(m-x_i=2\), since N=20 then we know everything to calculate the standard deviation. Sufficient."

but the question is asking if SD the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?[/b]
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dave13
Bunuel
SOLUTION

Is the standard deviation of the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?

CALCULATING STANDARD DEVIATION OF A SET {x1, x2, ... xn}:
1. Find the mean, \(m\), of the values.
2. For each value \(x_i\) calculate its deviation (\(m-x_i\)) from the mean.
3. Calculate the squares of these deviations.
4. Find the mean of the squared deviations. This quantity is the variance.
5. Take the square root of the variance. The quantity is th SD.

Expressed by formula: \(standard \ deviation= \sqrt{variance} = \sqrt{\frac{\sum(m-x_i)^2}{N}}\).

(1) The variance for the set of measurements is 4. The variance is just the square of the standard deviation, so if \(variance=4\) then \(SD=\sqrt{4}=2\). Sufficient.

(2) For each measurement, the difference between the mean and that measurement is 2. So, we have that \(m-x_i=2\), since N=20 then we know everything to calculate the standard deviation. Sufficient.

Answer: D.

For more on that subject check:
Math Book chapter on SD - https://gmatclub.com/forum/math-standard ... 87905.html
PS questions on SD - https://gmatclub.com/forum/ps-questions- ... 85897.html
DS questions on SD - https://gmatclub.com/forum/lately-many-q ... 85896.html

Bunuel can you please elaborate on second statement you say " So, we have that \(m-x_i=2\), since N=20 then we know everything to calculate the standard deviation. Sufficient."

but the question is asking if SD the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?[/b]

\(standard \ deviation= \sqrt{variance} = \sqrt{\frac{\sum(m-x_i)^2}{N}}\).

(2) says that \(m-x_i=2\), so \(standard \ deviation= \sqrt{variance} = \sqrt{\frac{2^2+2^2+...+2^2}{20}}=\sqrt{\frac{20*2^2}{20}}=2\).
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Abhi077
Is the standard deviation of the set of measurements
x1, x2, x3, x4, . . ., x20 less than 3 ?
(1) The variance for the set of measurements is 4.
(2) For each measurement, the difference between
the mean (of all 20 measurements) and that measurement is 2.
\(L = \left\{ {{x_1}\,,\,\,{x_2}\,,\,\,{x_3}\,,\,\,\, \ldots \,\,\,,\,\,{x_{20}}} \right\}\)

\({\sigma _L} = \sigma \,\,\mathop < \limits^? \,\,3\)

\(\left( 1 \right)\,\,\,{\sigma ^{\,2}} = 4\,\,\,\,\,\mathop \Rightarrow \limits^{\sigma \,\, \geqslant \,\,0} \,\,\,\,\sigma \,\, = \,\,2\,\,\,\,\, \Rightarrow \,\,\,\,\,\,\left\langle {{\text{YES}}} \right\rangle\)


\(\left( 2 \right)\,\,\,\left| {{x_k} - \mu } \right| = 2\,\,\,,\,\,\,\,1 \leqslant k \leqslant 20\,\,\,\,\,\,\,\, \Rightarrow \,\,\,\,\,\,\,{\sigma ^{\,2}} = \,\,\,\frac{1}{{20}}\,\, \cdot \,\,\sum\limits_{k = 1}^{20} {\,\,{{\left( {\left| {{x_k} - \mu } \right|} \right)}^2}\,\,\, = } \,\,\,\frac{1}{{20}}\left( {20 \cdot 4} \right)\,\,\, = 4\)

Hence \(\,\,\, \left( 2 \right)\,\,\,\,\, \Rightarrow \,\,\,\,\left( 1 \right)\,\,\,\,\,\, \Rightarrow \,\,\,\,\,\,\left\langle {{\text{YES}}} \right\rangle \,\,\,\,\)


The correct answer is therefore (D).


This solution follows the notations and rationale taught in the GMATH method.

Regards,
Fabio.
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CONCEPT: Variance = √(Standard Deviation)

Question: Is SD < 3?

Statement 1: Variance = 4
i.e. S.D. = √4 = 2
SUFFICIENT

Statement 2: For each measurement, the difference between the mean and that measurement is 2.
Set could be {1, 5} or {1, 1, 5, 5} or {1, 1, 1, 5, 5, 5}
Since average gap of each value from mean is less than 3 hence Standard Deviation of each of these sets is less than 3 hence
SUFFICIENT

Answer: Option D

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Bunuel
Is the standard deviation of the set of measurements x1, x2, x3, x4, ..., x20 less than 3 ?

(1) The variance for the set of measurements is 4.
(2) For each measurement, the difference between the mean and that measurement is 2.
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