Question # 1

The phase of statistics that is concerned with the description and analysis of sample or population data is called.

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Inferential statistics

Deacriptive statistics

Sample statistics

Inductive statistics

Variance σ²is equal to E(y²) - --------------------

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E(y)

[E(y)]²

E(y)²

E² (y)

If X and Y are random varaibes, than E ( X - Y) is equal to.

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E(X) + E (Y)

E(X) - E(Y)

X - E (Y)

E(X) - Y

If a player well shuffles the pack of 52 playing card, then the probability of a black card form 52 playing cards is:

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1/52

13/52

26/52

4/52

For a binomial probability distribution:

n = 10 & the probability of failure (q =0.6), then mean of the distribution is .

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0.6

6.0

10

4

The base period in fixed base should be

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Current year

Normal year

Highest year

Lowest year

An arrangement of data to show the frequency of occurrence is called.

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Freqeuncy distribution

Probability distribution

Data array

Cumulative distribution

Y₃+y₄+......+y₁₅ =

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Σ¹⁵ _i=1 Y₁

Σ¹⁵ _i=3 Y₂

¹⁵Σ_i=3 Y_i

¹⁵Σ_i=3Y_i²

If the random variable x denotes the number of heads when three distinct coins are tossed, the x assumes values

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0, 1, 2, 3

1, 3, 3, 1

1, 2, 3

None of these

Which of the following statements is true of cumulative frequency polygons or ogives for a particular set of data.

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Both less than and or more curves have the same shape

Or more curves slope up and to the right

Less than curve slope down and to the right

Less than curve slope up and to the right

Range can be calculated in open-end classes.

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Never

Always

Often

Seldom

Mean of hypergeometric distribution is

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mN/k

nK/N

k/nN

Nk/n

When each outcome of a sample is as equally likely to occur as any other, the out come are called.

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Mutually exclusive

Equally likely

Exhaustive

Not mutually

The fraph of the symmetrical distribution is

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bell shaped

U - shaped

J- shaped

None of these

First central moment is always.

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0

1

-1

2

The grouped data is.

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Primary

Secondary

Raw data

None of them

The mean of a binomial dristubution depends on

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Parability of success

Probability of failure

Number of trials

Botha a and c

F(-∞) is always equal to

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Zero

One

Two

Negative one

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