Statistics MCQS for NTS Set 4

Probability distribution of a statistic is called

Parameter

Sampling error

Standard error

Sampling distribution

The data in their original form are called

Primary data

Secondary data

Un-official data

Ordered data

If any value is zero in the data then it is impossible to calculate:

Mode

Median

Arithmetic mean

Geometric mean

The most suitable average in the construction of index number is

Mean

Median

Mode

Geometric mean

In which distribution the successive trials are with replacement:

Hypergeometric distribution

Continuous distribution

None of these

Binomial distribution

In normal distribution in the parameter which controls the relative flatness of the curve is:

m

e

S

?2p

The value of the data lying between Q₁ and Q₃ are

25%

75%

50%

None of these

For the standardized normal variate P(0? z ?1) =……………

0.33725

0.47725

0.49867

0.34135

The shape of the normal distribution is:

Leptokurtic

Skewed

Platykurtic

Mesokurtic

Sum of deviation of observation from their mean cannot be

Zero

Other than zero

Less than zero

Greater than zero