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Quiz - STS501 (Fall 20-21)

Total questions: 20

Worksheet time: 40mins

Name
Class
Date
1.

If your dataset include dummy variable, such as gender (male/female). This type of data is called as

a)

Nominal

b)

Ordinal

c)

Interval

d)

Continuous

2.

Type of data level such as ROA, ROE, ROI .......

a)

Nominal

b)

Ordinal

c)

Interval/Ratio

d)

Continuous

3.

If your research examine ONE UNIT, n =1 (i.e. one company/bank) with MULTIPLE SERIES OF TIME PERIODS, t > 1. This type of data is called as

a)

Cross-sectional

b)

Time-series

c)

Panel

d)

Interval

4.

The mid-point values in series is called as...

a)

Mean

b)

Median

c)

Mode

d)

Range

5.

The most repetitive values in series, is called as....

a)

Mean

b)

Median

c)

Mode

d)

Range

6.

A perfectly symmetrical distribution of data frequency is called as....

a)

Normal distribution

b)

Right-skewed

c)

Left-skewed

d)

No skewed

7.

A randomly selected subset of the population.....

a)

Population

b)

Sample

c)

Paramater

d)

Data

8.

Collection, organization, summation, and presentation of data is ..... statistics

a)

Inferential

b)

Non-linear

c)

Descriptive

d)

Linear

9.

Some of measurement in descriptive statistics are as follows, EXCEPT

a)

Mean

b)

Variance

c)

Standard Deviation

d)

Regression analysis

10.

To determine relationships among variables, and makes predictions, are the functions of .... statistics

a)

Descriptve

b)

Linear

c)

Inferential

d)

Non-linear

11.

A way to plot data, where the data is split into steam (largest digit) and leaf (lowest digit)

a)

Box plot

b)

Steam & leat plot

c)

Whisker plot

d)

Scatter plot

12.

A two-dimensional plot that shows the values for the joint occurance of two quantitative variables

a)

Box plot

b)

Whisker plot

c)

Steam and leaf plot

d)

Scatter plot

13.

A quantitative measure of the strength of the linear relationship between two variables (from -1.0 to +1.0)

a)

Standard deviation

b)

Coeffcient of variation

c)

Correlation coefficient

d)

Covariance

14.

The method of regression analysis in which MULTIPLE independent variables are used to predict the dependent variable

a)

Simple Linear Regression

b)

Multiple Linear Regression

c)

Logistic Regression

d)

Non-Linear Regression

15.

The portion of the total variation in the Y variable that can be explained by X variable

a)

Coefficient of determination

b)

Coefficient of variation

c)

Correlation coefficient

d)

Residual

16.

On the test for significance, if your p-values < alpha 5%. Your decision is...

a)

REJECT the Null (H0), REJECT the Alternate (Ha)

b)

ACCEPT the Null (H0), ACCEPT the Alternate (Ha)

c)

REJECT the Null (H0), ACCEPT the Alternate (Ha)

d)

ACCEPT the Null (H0), REJECT the Alternate (Ha)

17.

The relationship among SST, SSR, and SSE are

a)

SST = SSR + SSE

b)

SST = SSR - SSE

c)

SST = 1 / (SSR + SSE)

d)

SST = (SSR + SSE)^2

18.

If the F-statistics < F-table, then you can conclude that

a)

REJECT the null (H0), ACCEPT the alternate (Ha)

b)

ACCEPT the null (H0), REJECT the alternate (Ha)

c)

REJECT the null (H0), REJECT the alternate (Ha)

d)

ACCPET the null (H0), ACCEPT the alternate (Ha)

19.

The variable(s) that were OMITTED from the model

a)

Dependent Variable

b)

Independent Variable

c)

Mediating Variable

d)

Error term

20.

The criterion for determining regression line that minimizes the sum of squared prediction errors

a)

Least Squares Criterion

b)

Regression Criterion

c)

Coefficient Criterion

d)

Correlation Criterion