Free Printable Basic concepts in statistical inference

1.

In order to use Pearson r, the sets of data to be correlated should represent either ----- or ----- scales.

a)

A. Nominal, ordinal

b)

B. Interval, ratio

c)

C. Nominal, interval

d)

D. Ordinal, ratio

2.

A numerical measure that describes a characteristic of a population is called -----

a)

A. Parameter

b)

B. Statistic

c)

C. Sample

d)

D. Inference

3.

A numerical measure that describes a characteristic of a sample is called -----

a)

A. Parameter

b)

B. Statistic

c)

C. Sample

d)

D. Inference

4.

The entire collection of objects, events, numbers or people that are of interest to a researcher is called -----

a)

A. Sample

b)

B. Statistic

c)

C. Parameter

d)

D. Population

5.

-------- is the manipulated variable in an experiment.

a)

A. Independent

b)

B. Dependent

c)

C. Extraneous

d)

D. Confounding

6.

Any event, characteristic or phenomenon which can take on different numerical values is called a ------

a)

A. Parameter

b)

B. Statistic

c)

C. Variable

d)

D. Constant

7.

Statistical procedures used to determine whether the result of an experiment can be explained by the influence of a particular factor or whether it happened purely by chance is known as ---

a)

A. Descriptive statistics

b)

B. Factorial analysis

c)

C. Interaction effect

d)

D. Inferential statistics

8.

The probability of a Type I error is called the -----

a)

A. Significance level

b)

B. Power

c)

C. Critical level

d)

D. Rejection level

9.

Directional hypothesis is otherwise called as -----

a)

A. Null hypothesis

b)

B. One-tailed hypothesis

c)

C. Alternative hypothesis

d)

D. Two-tailed hypothesis

10.

-------- is a prediction about the outcome of an experiment

a)

A. Estimation

b)

B. Statistics

c)

c.Generalisation

d)

D. Hypothesis

11.

------ is the number of scores free to vary when estimating a population parameter.

a)

A. Degrees of freedom

b)

B. Measures of variability

c)

C. Critical ratio

d)

D. Random number

12.

In a normal distribution most of the observations are ------

a)

A. uniformly distributed

b)

B. concentrated near the centre

c)

C. uniformly scattered

d)

D. massed at the two ends

13.

A frequency distribution more peaked than the normal is called -----

a)

A. Platykurtic

b)

B. Mesokurtic

c)

C. Leptokurtic

d)

D. Negatively skewed

14.

The sum of the deviations of individual observations is zero from ---

a)

A. Mode

b)

B. Median

c)

C. Geometric mean

d)

D. Arithmetic mean

15.

The distance between the lower quartile to the upper Quartile is ----

a)

A.Range

b)

B. Inter quartile range

c)

C. Mean deviation

d)

D. Quartile Deviation

16.

Which of the following measures of dispersion is most useful for computation of advance statistical measures?

a)

A.Range

b)

B. Standard deviation

c)

C. Mean deviation

d)

D. Quartile Deviation

17.

A Type II error occurs if you ------

a)

A. Reject a false alternate hypothesis

b)

B. Accept a false alternate hypothesis

c)

C. Reject a false null hypothesis

d)

D. Accept a false null hypothesis

18.

-------- refers to the rejection of a true null hypothesis.

a)

A. Decision making

b)

B. Type I error

c)

C. Type II error

d)

D. Level of significance

19.

------ refers to the statement of the condition or conditions under which the null hypothesis is rejected.

a)

A. Critical value

b)

B. Power of a test

c)

C. Decision rule

d)

D. Level of significance

20.

----- separate the region of rejection from the remaining values.

a)

A. Critical ratio

b)

B. Critical value

c)

C. Z – value

d)

D. t – value

Basic concepts in statistical inference

Total questions: 20

Worksheet time: 10mins

Similar Resources on Wayground