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Statistics Business Analysis

Total questions: 37

Worksheet time: 20mins

Name
Class
Date
1.

Data consists of names or labels used to identify an attribute.

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

2.

Data consists of names or labels used to identify an attribute and order and rank is meaningful

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

3.

Data consists of names or labels used to identify an attribute, order and rank are meaningful, and intervals between data may be termed units of measurement

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

4.

Data consists of names or labels used to identify an attribute, order and rank are meaningful, intervals between data may be termed units of measurement, and the ratio between two variables is meaningful

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

5.

Categorical (Qualitative) Data

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

6.

Quantitative Data

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

7.

Condition Clauses hints

a)

of

b)

for

c)

if

d)

what

e)

among

8.

Conditional Causes hints:

a)

if

b)

given

c)

among

d)

that

e)

then

9.

Larger group of elements in a study, group of interest

a)

Population

b)

Sample

c)

Parameter

d)

Statistics

10.

Subset of a population

a)

Parameter

b)

Sample

c)

Population

d)

Statistics

11.

Descriptive measure of a sample

a)

Survey

b)

Population

c)

Parameter

d)

Statistics

12.

Descriptive measure of a population

a)

Statistics

b)

Census

c)

Parameter

d)

Sample

13.

Process of colleting data for a population

a)

Census

b)

Survey

14.

Process of colleting data for a sample

a)

Census

b)

Survey

15.

 sx2 =s_x^{2\ }=  

a)

Sample Variance

b)

Sample Standard Deviation

c)

Sample Covariance

d)

Sample Correlation Coefficient

16.

 sx=s_x=  

a)

Sample Variance

b)

Sample Standard Deviation

c)

Sample Covariance

d)

Sample Correlation Coefficient

17.

 sxy=s_{xy}=  

a)

Sample Variance

b)

Sample Standard Deviation

c)

Sample Covariance

d)

Sample Correlation Coefficient

18.

 rxy=r_{xy}=  

a)

Sample Variance

b)

Sample Standard Deviation

c)

Sample Covariance

d)

Sample Correlation Coefficient

19.

 xixsx\frac{x_i-\overline{x}}{s_x}  

a)

Z- Score

b)

Standard Deviation

c)

Proporation

d)

Variance

20.

 x ±k(sx)\overline{x}\ \pm k\left(s_x\right)  

a)

Chebyshev's Theorem

b)

Standard Deviation

c)

Geometric Mean

d)

SLope

21.

 kk  

a)

Number of Standard Deviantion

b)

Standard Deviantion

c)

Number of Means

d)

Number of Memes

22.

Bell Shaped 68% =

a)

k= 1

b)

k= 2

c)

k= 3

23.

Bell Shaped 95% =

a)

k= 1

b)

k= 2

c)

k= 3

24.

Bell Shaped 99.87% =

a)

k= 1

b)

k= 2

c)

k= 3

25.

 σ\sigma  

a)

Population

b)

Sample

c)

Mean

d)

# of Standard Deviation

26.

 g=[(1+g1)(1+g2)... (1+gx)]1n1\overline{g}=\left[\left(1+g_1\right)\left(1+g_2\right)...\ \left(1+g_x\right)\right]^{\frac{1}{n}}-1  

a)

Geometric Mean

b)

Mean

c)

Standard Deviation

d)

Covariance

27.

 b1 = b_1\ =\   Covariance/Variance of X

a)

Slope

b)

Y-Intercept

28.

 b0=yb1xb_0=\overline{y}-b_1\overline{x}  

a)

Slope

b)

Y-Intercept

29.

 x\overline{x}  

a)

Mean

b)

Mode

c)

Median

d)

Percentage

30.

 P(AB)P\left(A\cap B\right)  

a)

Conditional Clause

b)

Intersection Clause

c)

Marginal Clause

d)

Union Clause

31.

 P(AB)P\left(A\cup B\right)  

a)

Conditional Clause

b)

Intersection Clause

c)

Marginal Clause

d)

Union Clause

32.

 P(A)P\left(A\right)  

a)

Conditional Clause

b)

Intersection Clause

c)

Marginal Clause

d)

Union Clause

33.

P(AlB)

a)

Conditional Clause

b)

Intersection Clause

c)

Marginal Clause

d)

Union Clause

34.

 P(AB)P(B)\frac{P\left(A\cap B\right)}{P\left(B\right)}  

a)

Conditional Clause

b)

Intersection Clause

c)

Marginal Clause

d)

Union Clause

35.

1 - P(A)

a)

Marginal

b)

Compliment

c)

Sample Set

d)

Sample

36.

 P(Ac)P\left(A^c\right)  

a)

Compliment

b)

Marginal

c)

Division

d)

Subtraction

37.

Collection of experimental outcomes

(a)