Upcoming Quiz no.2 | Dated: May 18, 16 |
Dear Students, You are informed that Quiz no.2 will be started according to the following schedule;
Opening Date and Time of Quiz May 23, 2016 at 12:01AM Closing Date and Time of Quiz May 24, 2016 at 11:59 PM
Instructions:
Read the following instructions carefully before attempting the Quiz No.2.
• Quiz will be based upon Multiple Choice Questions (MCQs) and it will cover Lesson no.10 to Lesson no.15.
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STA301 current Quiz No 2 2016 Any one solve these quiz :)
According to Empirical rule, approximately how much values will fall within (Mean-3S.D, Mean+3S.D)?
100%
95%
75%
68%
Five number summary gives good idea about the_______of the distribution.
Average
Shape
Correlation
Regression
The sum of squares of deviation is least if measure from
Select correct option
Mean
Mode
Median
Variance
Formula for Semi Interquartile Range is:
Q3-Q12
Q3-Q12
Q1+Q32
Q1+Q32
Q1-Q3
Q1-Q3
Q1+Q32
Q1+Q32
In a group frequency distribution, corrected moments are calculated by the method of:
Sheppard’s correction
Continuity correction
Pearson’s correction
Bowley’s correction
In a Box and Whisker plot, Box is divided into:
One part
Two parts
Three parts
Four parts
In a linear regression, Y=a+bX, the variable “Y” will always:
A random variable
A non-random variable
Qualitative variable
Quantitative variable
Pearson’s coefficient of skewnss is equal to:
Mean-Median/S.D
Mean-Mode/S.D
Mean-2Median/S.D
Mean-2Mode/S.D
If the co-efficient of dispersion for data set "A" is 0.7 and for data set "B" is 0.5. It indicates that:
Select correct option
Spread of Data set "A" is greater than Data set "B"
Spread of Data set "B" is greater than Data set "A"
Spread of Data set "A" is equal to Data set "B"
It is meaningless
The range of the series -1,-4, -9, -7, -6, 0 will be:
Select correct option
9
-9
8
-1
The distribution will be symmetrical. IF
median=midquartilerange=midrange
medianmidquartilerange>midrange
None of the above
Co-efficient of Quartile Deviation is a:
Pure Number
Relative measure of Dispersion
Absolute measure of Dispersion
Pure number and relative measure of dispersion
If in a simple linear regression model it is assumed that the intercept parameter is equal to 0:
The regression line will pass through the origin
The regression line will pass through the point (0,10)
The regression line will pass through the point (0,-10)
The slope of the line will also be equal to 0
For a symmetrical distribution, b1 is always:
Select correct option
Less than 1
Greater than 1
Equal to 0
Less or equal to 1
In a Box and Whisker plot, right end of the box is referred to as:
First quartile
Second quartile
Third quartile
Mode
Dividing mean deviation by mean we get a pure number known as
Co-efficient of mean deviation
Co-efficient
Co-efficient of quartile deviation
None of the above
Formula for Quartile Deviation is:
Q1-Q32
Q1-Q32
Q3-Q12
Q3-Q12
Q1+Q32
Q1+Q32
Q1+Q3
Q1+Q3
According to Chebychev’s rule, at least 3/4 of the data values will fall within:
Select correct option
(Mean-S.D, Mean+S.D)
(Mean-2S.D, Mean+2S.D)
(Mean-3S.D, Mean+3S.D)
None of these
The measure of Dispersion can never be:
Positive
Negative
0
1
According to Empirical rule, approximately how much values will fall within (Mean-3S.D, Mean+3S.D)?
100%
95%
75%
68%
If Xo is the smallest value and Xm is the largest value in a data set then, range is defined by the relation:
Xo
Xm
Xm-Xo
Xo-Xm
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