Most Latest Normal Distribution ( Statistics ) MCQs – Up To Date Statistics MCQs
This post is comprising of latest ” ( Statistics ) MCQs – Latest Competitive MCQs “. Here you’ll get latest Statistics mcqs for written test, interview with answers. If you want to improve your knowledge regarding Statistics then read these mcqs of Design of Steel Structures.
Latest Statistics MCQs
By practicing these MCQs of Normal Distribution ( Statistics ) MCQs – Latest Competitive MCQs , an individual for exams performs better than before. This post comprising of objective questions and answers related to “Normal Distribution ( Statistics ) Mcqs “. As wise people believe “Perfect Practice make a Man Perfect”. It is therefore practice these mcqs of Statistics to approach the success. Tab this page to check “Normal Distribution ( Statistics )” for the preparation of competitive mcqs, FPSC mcqs, PPSC mcqs, SPSC mcqs, KPPSC mcqs, AJKPSC mcqs, BPSC mcqs, NTS mcqs, PTS mcqs, OTS mcqs, Atomic Energy mcqs, Pak Army mcqs, Pak Navy mcqs, CTS mcqs, ETEA mcqs and others.
Latest Normal Distribution ( Statistics ) Mcqs
The most occurred mcqs of Normal Distribution ( Statistics ) in past papers. Past papers of Normal Distribution ( Statistics ) Mcqs. Past papers of Normal Distribution ( Statistics ) Mcqs . Mcqs are the necessary part of any competitive / job related exams. The Mcqs having specific numbers in any written test. It is therefore everyone have to learn / remember the related Normal Distribution ( Statistics ) Mcqs. The Important series of Normal Distribution ( Statistics ) Mcqs are given below:
The Normal Curve is asymptotic to the?
A. None
B. X-axis
C. Along Y=X
D. Y-axis
Normal Distribution ?
A. Multi Modal
B. have no Mode
C. Bi Modal
D. Tri Modal
E. Uni Modal
In case of symmetrical distribution?
A. µ1=µ4
B. Mean=Mode=Median
C. β1=β4
D. µ1=µ2
If X ˜ N(16,49), the mean is___________?
A. 7
B. 16
C. 49
D. 4
If Y=5X + 10 and X is N(10,25), then mean of Y is ?
A. 50
B. 135
C. 70
D. 60
Area Under the normal curve on either side of mean is _____________?
A. 2
B. Mean value
C. 0.5
D. 1
E. -1
Which of the following parameter control the relative flatness of normal distribution?
A. Mean
B. Mode
C. Standard Deviation
D. None
The shape of normal curve depends upon ?
A. Mean
B. None
C. Quartile
D. Standard Deviation
E. Mean Deviation
The value maximum ordinate of a standard normal curve at Z = 0 is:________?
A. 0.5
B. 1
C. 0.3989
D. None of these
In a certain normal distribution having µ = 35 and variance = 16, then mode will be_______________?
A. 3.5
B. 4
C. 16
D. None of these
If “X” is normally distribution with >µ= 8 and S.D. 4, then P(6≤X≤10) may be______________?
A. -0.32
B. 0
C. 1.2
D. 0.2684
Index Number MCQs
In normal distribution β1 = 0 and β2 is equal to _____________
A. 1
B. 0.5
C. 2
D. 3
For +ve and -ve skewed, check the sign of _______?
A. µ2
B. β1
C. β2
D. µ3
Total area under the normal curve is________?
A. 50%
B. 1
C. 100
D. 1%
Normal distribution is _____ distribution?
A. Symmetrical
B. + vely skewed
C. non-symmetrical
D. -vely skewed
Area to the right of (z=0) is the area for ____ values of z?
A. Negative
B. Zero
C. Positive
D. None of these
The standardized normal variate z means_________ away from the mean?
A. Variance
B. S.D.
C. Mean
D. None of these
In a normal distribution, what is the z score associated with the mode ?
A. +1
B. 0
C. -1
D. None of these
If X ˜ N (µ, σ2) then Z ˜__________?
A. N(1, σ2)
B. N(0, σ2)
C. N(0, 1)
D. N(1, 1)
Normal distribution is the distribution of _______________?
A. Qualitative variable
B. Continuous r.v.
C. Discrete r.v.
D. Quantitative variable
In normal distribution, mean ______= Mode?
A. Mean deviation
B. Quartile
C. Median
D. S.D.
Area of normal distribution total is equal to _______?
A. Four
B. One
C. Two
D. Three
Standard normal variable Z is___________?
A. x – µ /σ
B. σ – x/ µ
C. µ- x /σ
D. x – σ/ µ
Every distribution tends to ____ distribution?
A. ∞
B. Small
C. Large
D. Finite
In normal distribution Q1=_________?
A. u – .7979 (S.D.)
B. u + .6745 (S.D.)
C. u + .6745 (S.D.)
D. u – .6745 (S.D.)
If n ≥ 30 and _____ then binomial approaches to normal distribution?
A. pq
B. p = q
C. q/p
D. p = n
The _____ order moments about mean are all zero?
A. Four
B. None
C. Add
D. Even
In a normal distribution quartile deviation is _______ (S.D.)?
A. .3789
B. .2745
C. .79079
D. .6745
In Normal distribution, the parameter which controls the flatness of the curve is____________?
A. µ,σ
B. µ, MD
C. None
D. 2∏—√,e
Statistical Interference MCQs
In a normal distribution E(X-µ)2 is________________?
A. Variance
B. Standard Deviation
C. Mean Deviation
D. Quartile Deviation
Shape of normal curve can be related to_______________?
A. Bell
B. L
C. Circle
D. Rectangle
E. J
We use normal distribution when “n” is________________?
A. None
B. Small
C. Fixed
D. Large
Total Area under the normal curve is_______________?
A. None
B. 1
C. Greater than 1
D. Less than 1
E. 0
The lower and upper quartile of standard normal variation are respectively ?
A. -0.7979 and 0.7979
B. -0.6745 and 0.6745
C. µ+0.6745σ and µ-0.6745σ
D. -0.7979σ and 0.7979σ
If X N(55,49) then σ ?
A. 7
B. 104
C. 55
D. 49
The median of normal distribution corresponds to the value of Z equal to_________________?
A. 1
B. 0.5
C. µ
D. 0
Mean deviation of Normal Distribution is_____________?
A. 45σ
B. 78σ
C. 34σ
D. 23σ
The area under the normal distribution curve outside the interval of z=1 and z=3.09 is_____________?
A. None of the above
B. 0.3413
C. 0.1597
D. 0.1477
E. 0.4990
The normal distribution is_________?
A. Leptokurtic
B. Platykurtic
C. Mesoukurtic
D. None of these
In normal distribution Q.D. ( quartile deviation)is equal to________?
A. 0.7979 σ
B. σ
C. 0.6745 σ
D. None of these
P95 means _____?
A. The point above above which 95% area lies
B. The central 95% area
C. The point above below which 95% area lies
D. Both (a) and (b) but not (c)
Linear Regression MCQs
If β1 = 0 it means the distribution is _______________?
A. Symmetrical
B. -vely skewed
C. + vely skewed
D. Non of these
The maximum of function is at_______________?
A. X = µ + σ
B. X = µ
C. X = σ2
D. X = 0
As the normal distribution is symmetrical, its mean, median and mode are:____________?
A. Coincide
B. Different
C. Not equal
D. Equal
In a standard normal distribution z = 0 corresponds to _____________?
A. Mean
B. M.D.
C. S.D.
D. Q.D.
N(µ, 2σ) means normally distribution with mean u and variance2σ then (3σ, 4) means _____________?
A. 76
B. 46
C. 36
D. 47
The range of normal distribution lies between _________?
A. -∞ to +∞
B. -∞ to 0
C. 0 to ∞
D. None of these
100% of values lies in the limits are equal to ______________?
A. 20 and 70
B. 40 and 60
C. 20 and 30
D. 20 and 80
Normal distribution has ___________?
A. 3 parameter
B. 2 parameter
C. 1 parameter
D. 4 parameter
The shape of normal distribution does depend upon _____ and variance?
A. S/σ2
B. x
C. u
D. 2 µ2
P(µ – σ≤x≤µ + σ)=_________?
A. .6826
B. .6745
C. .6743
D. .2345
For a normal distribution having µ = 241 and σ = 2 P (X≥235) is:_______?
A. 0.9986
B. 0.475
C. 0.5
D. 0.235
Normal distribution has ____shaped?
A. T-shaped
B. Bell shaped
C. u-shaped
D. Normal shaped
The equation of standard normal distribution is f(z)=________?
A. 1/√2∏
B. 1/σ√2∏e -1/2×2
C. 1/σ√2∏e 1/2×2
D. 1/σ√2∏
In normal distribution u2 = S2 and u4 =___________?
A. 3S
B. 3S2
C. 3S4
D. 4S2/x
The quartile deviation is ____ (S.D.) is normal dist?
A. .7879
B. .6734
C. .6745
D. .4567
Normal distribution has ______ parameter?
A. Four
B. Two
C. Three
D. One
Normal distribution is a probability distribution of _____ random variable?
A. Continuous
B. Discrete
C. Constant
D. Normal