Statıstıcs I Final 10. Deneme Sınavı

Toplam 20 Soru
PAYLAŞ:

1.Soru

Probability density function for continuous random variable X is defined as follows;

f(x) = 0.02, for 0 ? x ? 50

Which of the following mean of the continuous random variable X?


25

50

60

80

150


2.Soru

  1. Arithmetic mean
  2. Standard deviation
  3. Variance 

Which of the above determine(s) the shape of the normal random variable?


Only III

I and II

I and III

II and III

I, II and III


3.Soru

A bakery employs 10 people. The number of years’ experience that the employees of the company have is the following: 0, 0, 2, 4, 5, 8, 15, 17, 20, 24. What is the interquartile range of the data?


10

15

20

25

30


4.Soru

In binomial distribution, "The probability of success, denoted by and the probability of failure, denoted by remains _____________ for all trials"?


different

changes trial to trial

constant

variable

fluctuates


5.Soru

What is 'the most frequent value in the entire data' called?


Trimmed mean

Median

Geometric mean

Mode

Arithmetic mean 


6.Soru

In a study about employess, employees are classified according to the department they work in and their preference of training coursec. If there are 12 different departments and 7 different courses, in how many different ways can an employee be classified?


72

19

84

12

7


7.Soru

Which option is NOT correct about the probability density function?


Probabilities in continuous random variables can be determined from the area under probability density function.

The probability density function f (x), defines the physical characteristics of the random variable.

Probability density function basically determines the shape of the distribution for the continuous random variable X.

The area under the probability density function f (x) is always greater than 1.

For a continuous random variable X, probability density function f (x)³0 for all x.


8.Soru

What is the variance of f(x) = x for 0 ? x ? 4 equal to?


4

8

16

32

64


9.Soru

Which one below gives us the difference between Dot slot and Stem-and-Leaf Display?


A stem-and-leaf display is a type of graph for listing the numerical data.

In stem-and-leaf display the original numbers are kept. 

Stem-and-leaf display are drawn for continuous data.

Stem-and-leaf display is usually used for categorical
data.

Stem-and-leaf is often used to display the trends in a continuous data over a period of time


10.Soru

Consider the probability distribution for the random variable X given below and determine the probability of P (1.5 < X ? 4) =?


0,4

0,5

0,35

0,45

0,70


11.Soru

Which of the following is a discrete random variable?


The sitting time interval of students in a library.

The weight of the books in a library.

The heat of a library.

The height of the students in a library.

The blood pressures of the students in a library.


12.Soru

Data : 12, 16, 10, 20, 12 ; what is the mean deviation of these data ?


3.2

4.6

5.2

4.4

3.8


13.Soru

I. The central tendency measure of the distribution 

II. A measure of the variability of the observations

III. The information of the distribution shape

Which pieces of information given above can be obtained from a box-plot?


Only I

Only II

I and II

II and III

I, II and III


14.Soru

We have a  box containing only red and blue balls. If we randomly pick up a ball from this box, it could only be either a red ball or a blue ball, the selected ball cannot be a ball of red and blue at the same time. The occurrence of one event dictates that none of the other events can occur at the same time.

How is this event called?


Multiplication rule

 Statistically independent

Empirical probability

Subjective Probability

Mutually exclusive


15.Soru

I.     The number of students in a class.

II.    The time spent on doing an assignment.

III.   The height of the students.

IV.    The number of laptops in a school.

Which of the variables above is an example of a discrete random variable?


I and II.

I and IV.

All of them

None of them

II and III.


16.Soru

For X which is a continuous random variable that is uniformly distributed and takes values between 3 and 9. What is the probability density function of the random variable X ?


f(x)=0 for 3≤x≤9

f(x)=1/6 otherwise

f(x)=1/6 for 3≤x≤9

f(x)=0 otherwise

f(x)=1/3 for 3≤x≤9

f(x)=0 otherwise

f(x)=1/2 for 3≤x≤9

f(x)=0 otherwise

f(x)=1/6


17.Soru

For two sets A and B the probability of A is 0.15 and the probability of B is 0.25 if P(A|B) is equal to 0.30 what is the value of P(B|A)?


0.05

0.10

0.125

0.18

0.5


18.Soru

What is mode?


Middle number when the data is ordered from smallest to largest

Interval scale

Middle number when the data is ordered from largest to smallest

Ratio Scale

Most frequent value(s)


19.Soru

A shop selling mobile phones has purchased four new mobile phones of the same brand and model. It is known that a mobile phone of this brand and model works without any problem for at least 2 years with probability 0.95. What is the probability that all three mobile phones will work without any problem for at least 2 years?


0.95

0.90

0.85

0.80

0.75


20.Soru

According to classical probability, when a fair dice is rolled, what is the probability of obtaining a number more than 4?


0.167

0.267

0.333

0.433

0.555