Question # 1

In case of normal distribution maximum value of ordinate is

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μ

Zero

Second moment about mean is also called

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mean

variance

skewness

standard deviation

Normal distribution is

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unimodal

bimodal

trimodal

multimodal

The maximum ordinance of the standard normal Curve is at Z = ______.

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1.96

2.33

1

0

Points of inflexion of normal curve are at

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μ and σ

x=μ-σ and x=μ+σ

μ and 2σ

μ = o

Normal distribution ranges from_______.

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1,2,3,............∞

-∞ to +∞

1,2,3,.........n

None of these

The maximum ordinate of a normal curve is at X = ________.

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μ

σ

X̅

S.D

In case of normal distribution the area to the left of the mean and area to the right of the mean is

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positive

negative

equal

unequal

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β₁

β₂

β₃

S_k

μ - 2σ to=μ + 2σ contains approximately_______ area.

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75%

50%

95.45%

99.73%

The total area under the normal curve is________.

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Zero

Equal

Unity

True

In case of symmetrical distribution

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μ₁ = μ₂ = μ₃ = μ₄

β₁ = β₂

P₁ < P₂

All odd ordered moments about mean are ______ in a normal distribution.

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Zero

Unity

Positive

Negative

In normal distribution.

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Mean > median > mode

Mean = median = mode

Mean < median < mode

None of these

The moment Coefficient of kurtosis is

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β₁

β₂

Zero

m₂

The normal distribution is --------------------distribution.

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positively skewed

negatively skewed

symmetrical

peaked

The normal distribution is a _______.

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Positive

Negative

Discrete

Continuous

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ICS Part 2 Statistics Chapter 10 Online Test MCQs With Answers

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