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Final Sınavı

Statıstıcs I

Soru

Dakika

Görüntülenme

Çözülme

Sınav Ayarları

Cevapları Anında Göster

Her soruyu cevapladığınızda doğru/yanlış bilgisi gösterilir

Cevapları Sınav Sonunda Göster

Tüm soruları cevapladıktan sonra sonuçlar gösterilir

Soru 1

Orta Zorluk

What is the mean of variable X, given the probabilty distribution above?

A) 3

B) 3.2

C) 3.4

D) 3.5

E) 3.6

Soru 2

Orta Zorluk

For which of the following, does the probability density function f (x) of the continuous random variable X take a constant value over the range of the random variable X is defined?

A) Uniform distribution

B) Normal distribution

C) Standard normal distribution

D) Exponential distribution

E) Constant distribution

Soru 3

Orta Zorluk

I. The standard normal curve is symmetric around the mean µ = 0. II. The standard normal distribution has a standard deviation ? = 1 of the distribution. III. The area under the standard normal distribution function for P (z ? 4.25) is exactly 1. Which of the given statements can be said to be true about the standard normal distribution function?

A) Only I

B) Only II

C) I and II

D) I and III

E) II and III

Soru 4

Orta Zorluk

What is the probability of flipping a coin 3 times but getting no head at all?

A) 1/4

B) 1/8

C) 1/16

D) 1/32

E) 1/64

Soru 5

Orta Zorluk

Probability density function f (x) of normal distribution has the following property; f (x) ? 0 for all x values Which of the statements explains the property above?

A) Probability density function of random variable x obtain the non-negative values

B) The area under the probability density function f (x) always equivalent to 1 in the definition interval of the random variable X.

C) Normal distribution curve has a similar shape on both sides of the mean x=µ.

D) The tails of the probability function goes to infinity and at no time crosses or touches the x axis.

E) P (X < µ ) = P (X > µ ) =0.5.

Soru 6

Orta Zorluk

Which of the following information cannot be obtained from a box plot?

A) We can obtain the difference between the largest and smallest values.

B) The central tendency measure of the distribution is indicated by the median line in the box plot.

C) By examining the relative location of the median line, we can obtain about the information of the distribution shape.

D) We can obtain additional information about skewness from the lengths of the whiskers.

E) A general assessment can be made about the presence of outliers by examining the number of observations.

Soru 7

Orta Zorluk

During a sales season, the fifteen salesmen in a computer company sold the following numbers of computers: 7, 11, 5, 12, 17, 6, 13, 9, 8, 4, 23, 12, 7, 6, 11. What is the range of the number of sold computers?

A) 23

B) 19

C) 17

D) 9

E) 4

Soru 8

Orta Zorluk

Which of the following is a discrete random variable?

A) The rainfall in a area over years

B) Waiting time in a phone banking system

C) Length of trees in a certain forest

D) The water level in a certain river during a year

E) Number of students taking statistics course over years

Soru 9

Orta Zorluk

What is the probability of two dices landing on numbers that when sum up is equal to 6?

A) 1/6

B) 1/12

C) 5/6

D) 5/36

E) 1/6

Soru 10

Orta Zorluk

How can we determine whether respondents are interpreting questions as intended and whether the order of questions may influence responses?

A) By conducting a pretest over a small sample of survey population.

B) By carefully reviewing the survey questionnaire.

C) By analyzing the results of the survey.

D) By discussing the questionnaire questions with an experienced statistician.

E) We can never determine this.

Soru 11

Orta Zorluk

"__________is a widely employed discrete probability distribution in statistics where a set of independent observations constitutes exactly two disjoint outcomes of a trial." Which option completes the definition given above?

A) Binomial Distribution

B) Cumulative Distribution

C) Standard Deviation

D) Poisson Distribution

E) Hypergeometric Distribution

Soru 12

Orta Zorluk

Probability density function for continuous random variable X is defined as follows; f ( x ) = 0.02, for 0 ? x ? 50. Which one below is the probability of P ( X < 20)?

A) 4.4

B) 4.0

C) 0.4

D) 0.04

E) 0.04

Soru 13

Orta Zorluk

X=x 1 2 3 4 P(X=x) 0,20 0,25 0,30 0,30 Which of the following is the mean (μ) for the probability distribution given above?

A) 1

B) 2

C) 2,5

D) 2,8

E) 2,6

Soru 14

Orta Zorluk

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 standard deviation of the data set?

A) 10,1

B) 12,5

C) 14,8

D) 16,8

E) 18,2

Soru 15

Orta Zorluk

A mixed basketball team (5 players) will be chosen from 8 male and 7 female players. This team should consist of at least 2 female and at least 2 male players, how many different teams are possible?

A) C(15, 5)

B) C(8, 3) + C(7, 2) + C(8, 2) * C(7, 3)

C) C(8, 3) * C(7, 2) + C(8, 2) * C(7, 3)

D) C(15, 3) * C(15, 2)

E) C(15, 3) + C(15, 2)

Soru 16

Orta Zorluk

For two sets A and B the probability of B is 0.45 and P(A|B) is equal to 0.20 what is the value of P(A?B)?

A) 2.25

B) 0.90

C) 0.44

D) 0.10

E) 0.09

Soru 17

Orta Zorluk

Which of the following is not true about range?

A) The percentiles generally are demonstrated as P(m)

B) The percentiles take numbers between 0 and 100.

C) 25th percentile is the second quantile.

D) 75th percentile is the third quantile.

E) 100th percentile is the fourth quantile.

Soru 18

Orta Zorluk

Which one below is an example of exponential distribution?

A) The number of customers a call center representative talks

B) The ages of students in a class

C) Consumption amount in a household

D) The number of customers arrive to the bank

E) Time between two failures of a certain mechanical device

Soru 19

Orta Zorluk

In ______________ distribution, an outcome of a random experiment can be classified under two different categories.

A) Poisson

B) Normal

C) t

D) Binomial

E) Geometric

Soru 20

Orta Zorluk

Include the relative frequency of each bin (class) to your grouped frequency distribution Determine the sample size Draw a rectangular for each bin Create the grouped frequency distribution of the data To create a histogram for continuous data, sort the steps written above?

A) II, I, IV, III

B) IV, II, III, I

C) II, I, IV, III

D) I, II, III, IV

E) II, IV, I, III

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