Psychological Statistics Set 2 MCQs

Q1 | Which of the following statements is true about sampling distributions?

distributions formed by sample values

formed from a population distribution known or assumed.

a number of sampling distributions is possible from a population

all of the above.

Q2 | Which of the following is standard error?

mean of sampling distribution

standard deviation of population distribution

mean of population distribution

standard deviation of sample distribution.

Q3 | Which of the following are true about standard error?

gives an idea about unreliability of the sample

gives an idea about confidence limits of parameter values

both (a) and (b)

none of these

Q4 | Which of the following is a statistically large sample?

29

45

16

none of these

Q5 | The term statistical significance refers to ________

how important the data are for research on the topic

the conclusion that there are no reasonable alternative explanation

the representativeness of the sample

the inference that the observed effects are unlikely to be due to chance.

Q6 | If we take level of significance as 0.01 then the confidence limit will be

1%

0%

99%

100%

Q7 | Critical ratio for large independent sample is given by the formula

z = standard deviation mean

z = standard error difference between means

z = se of the difference difference between means

none of these

Q8 | The critical ratio is found to be 2.63 while testing H0: 1=2 against H1: 1  2. Thenwhich of the following statements is true?

h0 is accepted at 0.05 level

h0 is rejected at 0.05 level

h0 is accepted at 0.01 level

h0 is rejected at 0.01 level

Q9 | While dealing with small samples, preference is given to

estimating the population value

testing a given hypothesis

both (a) and (b)

none of these

Q10 | The critical region is the region of

rejection of h0 when h0 is false

acceptance of h0 when h0 is false

rejection of h0 when h0 is true

none of these

Q11 | ‘Student’ was the pen name of

ramanujan

gosset

garrette

none of these

Q12 | Under which of the following circumstances ‘t’ distribution is used?

sample size less than or equal to 30

population standard deviation is unknown

both (a) and (b)

none of these

Q13 | Which of the following are the properties of ‘t’ distribution?

ranges from minus infinity to plus infinity

‘t’ distribution does not vary with ‘n’

both (a) and (b)

none of these

Q14 | As sample size increases the ‘t’ distribution approaches a

binomial distribution

gamma distribution

poisson distribution

normal distribution

Q15 | The degrees of freedom for which the tabled ‘t’ value is found for test of significanceof mean is given by

n

n – 2

n – 1

none of these

Q16 | The degrees of freedom for testing significance of difference between two means forsmall independent samples is

n1 + n2

n1 + n2 -1

n1 + n2 – 2

none of these

Q17 | Which of the following is the ‘t’ value for the following data (small independent samples)X1= 12, X2 =11, n1 =5, n2=7, s1 = 1.12, s2 = 2.31

8.9

0.35

0.89

0.79

Q18 | Normal distribution was defined specially by ------- a) Laplace b) Gauss c) DeMoivre d) None of these59.Which of the following is significance of normal distribution in statistical analysis?

many of the dependent variables are commonly assumed to be normally distributed

many of the statistical techniques in inferential statistics assumes normality of variable.

the theoretical distribution of the hypothetical set of sample means is approximately normal.

all of the above

Q19 | Which of the following is incorrect about normal distribution?

it is symmetrical with respect to the ordinate at mean.

mean, median and mode coincide

ordinate is minimum at the mean

none of these

Q20 | A normal curve shows 1. a distribution of mentally normal persons 2. population distributed equally in various parts3. greater percentage of cases distributed about the mean score 4. lesser percentage of cases belonging to extreme scores

only 1 and 2 are true

only 3 and 4 are true

all are true

all are false

Q21 | A mesokurtic distribution curve is a

normal probability curve

bell shaped curve

both (a) and (b)

none of these

Q22 | A leptokurtic distribution shows

a bell shaped curve

skewness

steep rise in the middle

upto some extent it shows all of these

Q23 | Which of the following statement is true about normal curve?

the curve extends from - to +

good model for many naturally occurring distributions.

fifty percent of the scores are below the mean and fifty percent above it.

all of the above

Q24 | Which of the following is application of normal curve?

used to convert a raw score into standard score

useful in calculating percentile rank of scores

for normalizing a given frequency distribution

all of the above