Question # 1

Why are the outcomes of a coin tossing mutually exclusive.

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The outcome of any toss is not affected by teh outcome of those preceding it.

Both a head and a tail cannot turn up on any one toss

The probability of getting a head and the probability of getting a tail is the same.

All of these

If data is arranged in increasing order of magnitude that data is scald to be arranged in:

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Descending order

Ascending order

Statistic order

Both A and B

Importance of commodity is its

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Quantity

Quality

Weight

Price

Each trial of binomial experiment results in an outcome which can be classified in two categories

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Head or tail

Ace or six

Success and failure

None of these

Sample mean is an

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Estimated statistic

Updating statistic

Biased statistic

Unbiased statistic

ⁿP_r can be solved by the formula

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If a curve has a longer tail to the left . it is called a.

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Symmetrical curve

Positive skewed curve

Negatively skewed curve

None of these

Which of the following can never be described by a binomial distributions.

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The number of difective items produced by an assembly process

The amount of water used by a single housheld

the numebr of students in the class who can answer this questions

All of these can always be described by a binomial distribution

Var (3x + 2)

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3 Var(X) + 2

3 Var X

9 var (x) + 2

9 var (x)

Pearson's co-efficient of skewness is positive when distribution is

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Negatively skewed

Positively skewed

Symmetrical

Leptokurtic

For the given data 2,3,7,0,-8 G.M will be.

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Negative

Positive

Zero

Impossible

the term 'event' is used for.

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Time

Subaet of the sample space

Total number of outcomes

Probability

As the numebr of observations and classes increase, the shape of a frequency polygon.

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Tends to become increasingly asmooth

Tends to become jagged

stays the same

Varies if data become more reliable

A binomial random variable is a (an)

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Constinuous random variable

Discrete random variable

Dependent varaible

Independent variable

If X and Y are independent, than Var ( X -Y) is equal to.

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Var (X) + Var (Y)

Var (X) - Var (Y)

Var (X+ Y)

Zero

Random numbers are generated from the single digit numbers.

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{ 1,2,3,............. 10 }

{ 0, 1,2,.......................... 10}

{ 0,1,2.............}

{0,1,2,............. 9}

If N = 40, n = 5, k = 4, then mean of hypergeometic distribution is.

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1

1/2

1/4

1/3

The mean of binomial distribution is always:

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Equal to variance

Less than variance

Greater then variance

None of the these

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Statistics Ics Part 1 Online Test MCQs With Answers

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