Statıstıcs I Final 12. Deneme Sınavı
Toplam 20 Soru1.Soru
How many different ways can the letters in the word COMMON be arranged?
6 |
180 |
360 |
120 |
720 |
This is a permutation with repeated items. If all the seven letters in the given word were different, the total number of arrangements would be 6!. Since all the arrangements of the two letters C1 and C2 , and all the arrangements of the two letters M1 and M2 should be counted only once, it follows that the answer is: 6!/2!2!=180
2.Soru
What must be the value of "a" if the table above is the probability distribution of variable X whose mean is 2.8?
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
If this is a probabilty distribution than the sum of all probabilities must be equal to 1. Thus 0.2+0.3+0.1+a+b=1 which means a+b=0.4, thus b=0.4-a. Also it is given that the mean of X is equal to 2.8.
Mean=Sum((X=x)P(X=x))
2.8=(1*0.2)+(2*0.3)+(3*0.1)+(4*a)+(5*b)
2.8=1.1+4a+5b
1.7=4a+5b=4a+5(0.4-a)
1.7=2-a
0.3=a
3.Soru
If there were two dices thrown at the same time what would their total number of possible outcomes be?
6 |
12 |
24 |
36 |
48 |
Each dice has a possible outcome of 6 in total {1,2,3,4,5,6}. If they are thrown at the same time the possible outcome would equal to 6*6 = 36. The answer is D.
4.Soru
Consider the probability density function f(x)=0.04, for 15 ? x ? 40 and determine the probability of P (25 <= X < 35) ?
0.1 |
0.2 |
0.4 |
0.5 |
0.8 |
Int(25, 35)(f(x) dx) = 0.04 * x = 0.04 x (35 – 25) = 0.04 * 10 = 0.4. pg. 180. Correct answer is C.
5.Soru
Assume that waiting time to connect to internet at your home is normally distributed with a mean of 270 seconds and a standard deviation of 90 seconds. Find the probability that you can connect to internet in less than 210 seconds in terms of standard normal distribution?
0.5 – P(z = 1/3) |
0.5 – P(z = 2/3) |
0.5 + P(z = 1/3) |
0.5 + P(z = 2/3) |
1 – P(z = 1/3) |
z = (x – m) / sd ; (210 – 270) / 90 = -2/3 ; P(z <= (-2/3)) = P(z >= 2/3) = 0.5 – P(z = 2/3) . pg. 200. Correct answer is B.
6.Soru
2 models will be selected to walk in a fashion show in France. There are 2 models from an Italian agency and 3 of them work for a Turkish agency. how many different possible outcomes are there?
4 |
5 |
6 |
7 |
10 |
Let us denote the Italian models by X1 and X2, the Turkish models by Y1, Y2, and Y3. Then, there
7.Soru
Students in a course get a grade, either "AA", "BA", "BB", or "BC", etc. What type of variable is the grade?
A continuous interval-scale variable |
A textual variable |
An ordinal categorical variable |
A continuous ratio-scale variable |
A nominal categorical variable |
Grades like "AA" or "BB" taken from a course is an ordinal categorical variable.
8.Soru
Which of the following is a discrete random variable?
A time that is spent to complete a task |
The weight of a newborn baby |
The height of randomly selected students in a classroom |
The number of arrivals at an emergency room between midnight and 6:00 a.m. |
The duration of the next outgoing telephone call from a business office. |
Discrete random variables have only a countable number of separate values such as 0, 1, 2 , 3... etc. For example, the number of students in a class for certain day or the number of customers in a supermarket after 5:00 PM are cases for discrete random variables since these variables are finite and countable. Conversely, continuous random variable can take entire infinite values in a given interval. Because of this reason, continuous random variables are commonly measured instead of counted. For instance, waiting time for customers in a supermarket cashier line and travel time of a bus between two points are examples for continuous random variables. The correct answer is D.
9.Soru
What must be the value of k if the table above is a probability distribution table of variable X?
0.02 |
0.03 |
0.05 |
0.06 |
0.10 |
The sum of all probabilities must be equal to 1, if it is a probability distribution table. Thus 3k+5k+8k+3k+k=20k=1 then k=1/20=0.05
10.Soru
I. The exponential random variable is frequently used to model the time interval between two events.
II. The exponential random variable is defined with a parameter ?.
III. The exponential random variable X defines the time interval between two independent events.
Which one of the given statements can be said to be true about exponential distribution?
Only I |
Only II |
I and II |
I and III |
II and III |
I. The exponential random variable is frequently used to model the time interval between two events. (True)
II. The exponential random variable is defined with a parameter ?. (True)
III. The exponential random variable X defines the time interval between two independent events. (False, the exponential random variable X defines the time interval between two consecutive events.)
The answer is C.
11.Soru
At a local district, there are three different pizza restaurants denoted here by A, B, and C. It is known that 40% of all customers give an order from company A, whereas 35% give an order from company B, and 25% give an order from company C. It is also known that 10% of the motorcycles from company A, 20% of the motorcycles from company B, and 5% of the motorcycles from company C need to a checkup before the next pizza delivery. If a motorcycle returned to the company needs a checkup before the next pizza delivery, what is the probability that this motorcycle was owned by company A?
0,33 |
0,40 |
0,52 |
0,60 |
0,74 |
P(A)=0.40 P(U/A)=0.10 P(U/A).P(A)=0.04
P(B)=0.35 P(U/B)=0.20 P(U/B).P(B)=0.07
P(C)=0.25 P(U/C)=0.05 P(U/C).P(C)=0.0125
P(U)= 0,04+0,07+0,0125=0,12
P(A/U)=0,04/0,12=0,33
12.Soru
What is mean score?
The most frequent score in a data set |
The gap between the lowest and the highest score |
The difference between a certain score and the average |
The score obtained by dividing the total scores by the number of scores |
Scores which are turned into zvalue |
You get the mean score if you divide the total scores by the number of scores.So the correct answer is D.
13.Soru
How many different ordered arrangements of the four letters W,X, Y and Z are there?
12 |
4 |
48 |
24 |
6 |
When order is important, we call the arrangements of a finite number of distinct objects a permutation. For example, there are a total of 3!=6 different ordered arrangements of the three letters A,B, and C. If there are four letters (W,X,Y,Z) there are a total of 4!=24 different ordered arrangements.
14.Soru
A support centre receives 8 calls per hour and the number of the calls follows the Poisson distribution.
Which of the following is the probability exactly 6 calls in an hour?
0,01 |
0,02 |
0,03 |
0,04 |
0,05 |
0,01
15.Soru
The data set: [20,20,20,25,25,30,35,35,40,40,45,45] What is the interquartile range of the data set above?
5 |
10 |
15 |
20 |
25 |
IQR = Q3 - Q1 = P(75) - P(25)=40-20=20
16.Soru
An eye doctor’s physical examination time is exponentially distributed with a mean of 25 minutes
Which of the following is the probability that the physical exam duration takes less than 20 minutes?
An eye doctor’s physical examination time is exponentially distributed with a mean of 25 minutes
Which of the following is the probability that the physical exam duration takes less than 20 minutes?
0,33 |
0,44 |
0,55 |
0,66 |
0,77 |
In this problem exponential random variable X represents the physical examination time. Also, the mean μ = 25 minutes of the physical examination time, therefore
λ=1= 1 =0.04μ 25
The probability density function is as follows,
f (x) = (0.04) e-0.04x, x ≥ 0
Therefore X ~ Exponential (λ = 0.04) and to find the probability that the physical exam duration takes less than 20 minutes P (X < 20).
P(X<20)= ∫20=(0.04)e−0.04xdx=−e−0.04x 20 =−(e−0.8 −1)=0.5500
17.Soru
Consider that continuous random variable X is uniformly distributed and takes values between a and 19 and the mean value of μ=12.
Which of the following the standard deviation for the random variable X?
Consider that continuous random variable X is uniformly distributed and takes values between a and 19 and the mean value of μ=12.
Which of the following the standard deviation for the random variable X?
4.001 |
4.041 |
4.104 |
4.101 |
4.404 |
The variance (σ2) of the continuous uniform random variable X between a and b, X ~ U (a = 5, b = 19) can be calculated from these formula,(b−a)2 (19−5)2
σ2 =V(X)= 12 = 12 =16.33Standard deviation, σ = 4.041
18.Soru
Which of the following is not true about binomial distribution?
Independent observations constitute exactly two disjoint outcomes of a trial |
An outcome of a random experiment can be classified into two different categories |
A random experiment (trial) with only two possible outcomes is called a Bernoulli trial. |
Binomial random variable represented as X ~ Binomal (n, p) |
Binominal distribution is used to model the number of outcomes occurring during a specified time interval or in a definite region |
The Poisson distribution is widely used for discrete probability distribution which is used to model the number of outcomes occurring during a specified time interval or in a definite region.
19.Soru
A farming company collected data about the amount of wheat (tons) sold in the last week. The data is as follows, 12, 35, 14, 25, 24, 40, 25. What is the mean of this data set?
25 |
30 |
35 |
40 |
45 |
20.Soru
Which of the followings is a kind of descriptive statistics and give information about the shape of distribution of the observations?
Which of the followings is a kind of descriptive statistics and give information about the shape of distribution of the observations?
Quartiles |
Variance |
Standard Deviation |
Skewness |
Box Plot |
The measures of skewness are another kind of descriptive statistics and give information about the shape of distribution of the observations. A data set which is not symmetrically distributed is called skewed.
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