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2nd Module Pre-Test Type B and D

Total questions: 12

Worksheet time: 9mins

Name
Class
Date
1.

In the distribution of probability, there are types of variable, namely...

a)

Continuous Variable

b)

Random Variable

c)

Dependent Variable

d)

Independent Variable

2.

The characteristics of the binomial distribution are, except…

a)

Each repetition performed is independent

b)

The experiment was repeated “n” times

c)

The outcome of each repetition performed will result in "success" or "fail", "yes" or "no", and "0" or "1"

d)

Each repetition performed is dependent

3.

Variable whose possible results can be calculated (countable) is...

a)

Continuous variables

b)

Qualitative variables

c)

Independent variables

d)

Discrete random variables

4.

Which one is an example of discrete random variable?

a)

Number of errors in typing of the manuscript

b)

The length of a rope

c)

A person's weight

d)

Age of the population in an area

5.

Discrete probability distribution is a distribution that can be explained by a function that determines the probability of each possible discrete value for X, is the definition of the distribution of discrete probability by...

a)

Walpole, Myers, Myers, & Ye, 2012

b)

Montgomery & Runger, 2011

c)

Ingram, 1994

d)

Walpole & Myers

6.

The distribution of discrete probability that will be discussed in this module are...

a)

Binomial Distribution and Poisson Distribution

b)

Geometric Distribution and Normal Distribution

c)

Hypergeometric Distribution and Poisson Distribution

d)

Binomial Distribution and Normal Distribution

7.

Which one is an example of an event from the poisson distribution?

a)

The number of face-side appearances or numbers in the throwing of coins

b)

Number of goals in a single Premier League season

c)

Number of errors in typing of the manuscript

d)

The number of students in a class there are 45 people

8.

The continuous distribution of probability to be discussed in this module are...

a)

Normal Distribution and Uniform Distribution

b)

Normal Distribution and Exponential Distribution

c)

Exponential Distribution and Weibull Distribution

d)

Binomial Distribution and Weibull Distribution

9.

Normal distribution characteristic include...

a)

Not symmetrical about the mean

b)

The distance of the curve's infall point with its symmetrical axis = ∞

c)

Symmetrical about the mean

d)

The area below the curve is 0

10.

The title of this module is...

a)

ANOVA Test

b)

Sampling Techniques and Data Preprocessing

c)

Hypothesis Testing

d)

Determination of Discrete and Continuous Probability Distribution

11.

The probability distribution ‘X’ of the exponential distribution is denoted by…

a)

𝑋 ~ 𝐸(𝜆)

b)

𝑋 ~ 𝑁(𝑥, 𝜎2)

c)

𝑋 ~ B(𝑥, n, p)

d)

𝑋 ~ 𝑃( 𝑥, 𝑋𝑡 )

12.

The following image is a curve of…

a)

Exponential distribution

b)

Normal distribution

c)

Poisson distribution

d)

Binomial distribution