Statıstıcs I Çıkmış Sorular, Online Deneme Sınavları, Çalışma, Dersler, Sınava Hazırlanma, vize, final

Soru 1:

The frequency distribution table of the students’ performance scores of a school were constructed as follows. What is the sample standard deviation of the data?

A) 19,4 B) 21,3 C) 25,6 D) 27,9 E) 30,2

Soru 2:

Data : 4, 4, 5, 5, 5, 15, 15, 18, 19, 15, 4, 5, 14, 14, 17, 17, 26, 26, 22, 22. What is the range of these data ?

A) 4 B) 5 C) 14 D) 26 E) 22

Soru 3:

Whish is TRUE about the table below specifying types of books a particular customer prefers?

A) It has the properties of classifying, magnitude, and equal intervals. B) It has a natural or zero-valued base value that cannot be changed. C) It is important that there is no any particular order or ranking for classes. D) The consecutive categories do not represent equal differences of the measured attribute. E) It is considered a nominal scale of measurement.

Soru 4:

In how many different ways can the letters in T H A N K S be arranged?

A) 700 B) 720 C) 740 D) 760 E) 780

Soru 5:

What is the variance of the probability distribution given above?

A) 3.62 B) 3.20 C) 3 D) 2.24 E) 1.68

Soru 6:

Suppose that random variable X has exponential distribution with ?=a. Find the probability of P (X ? b) ?

A) e-a/b B) e-b/a C) -e-b/a D) e-ab E) -e-ab

Soru 7:

When the occurrence or non-occurrence of an event A does not affect the occurrence of another event B, then we say that A and B are statistically ........ events?

A) irrelevant B) codependent C) independent D) dependent E) random

Soru 8:

Which of the followings is not true about normal distribution?

A) Normal distribution is one of the most significant and extensively used continuous probability distribution. B) Normal distribution provides basis for the statistical inference. C) Normal distribution was developed by a mathematician Karl Friedrich Gauss. D) Normal distribution is an asymmetric distribution where the random variable values are uniformly scattered around the mean. E) Normal distribution can be called as “bell curve” or “Gaussian curve”.

Soru 9:

Which of the statements below is correct? I In classical probability, all the outcomes have the same chance of happening. II In empirical probability, the experiments are repeated many times and the observed outcomes of the event we are interested in is counted. III When it is not possible to observe the outcomes of events, the researcher applies the researcher assigns a suitable value as the probability of the event. IV It is not appropriate to use personal judgement to assign the probability.

A) I and II B) II and III C) II, III and IV D) I, II and III E) II, III and IV

Soru 10:

I. For any event A?S, P(A)?0. II. For any event A, P(A) = 1 – P (A) III. For any two events A and B, P(A,B) = P(A) + P(B) Which of the probability axioms can be said to be true?

A) Only I B) Only II C) I and II D) I and III E) II and III

Soru 11:

Which probability approach uses the relative frequencies to assign the probabilities to the events?

A) Classical probability B) Objective probability C) Subjective probability D) Positive probability E) Empirical probability

Soru 12:

A researcher wants to investigate the effects of tea on heart diseases. What should the researcher do in order to conclude a causal effect?

A) Ask a sample if they have a heart disease and how much tea they drink a day B) Ask the patients with heart problems whether they are drinking tea C) Give tea to a sample and observe what they are doing D) Conduct an experiment with control and treatment groups E) Survey a sample about their beliefs on the effect of tea on heart diseases

Soru 13:

We know that event B has occurred and we are interested in finding the probability of event A. In other words, we are interested in finding the probability of A knowing that event B has occurred. Which of the following formula denotes the probability? We know that event B has occurred and we are interested in finding the probability of event A. In other words, we are interested in finding the probability of A knowing that event B has occurred. Which of the following formula denotes the probability?

A) P(A∩B) = P(A⏐B)P(B) B) P(A∩B) = P(A⏐B)P(A) C) P(A∩B) = P(A⏐B) D) P(A∩B) P(A)= P(A⏐B) E) P(A∩B) = P(A⏐B)P(B)P(A)

Soru 14:

I. The time a person spends on reading a day II. The amount of water a person drinks a day III. The weight gain of a person in a month Which of the variables given above are examples of a continuous random variable?

A) Only I B) Only II C) I and II D) II and III E) I,II and III

Soru 15:

The observations are as follows; [14,15,15,16,17,18,20,21,20] Which of the following is the Pearson’s coefficient of skewness (PCS) value of the data set above?

A) 0,38 B) 3,8 C) 0,40 D) 4 E) 0,36

Soru 16:

I. The air pressure on a tire on an automobile II.The number of students who actually register for classes III. The amount of liquid in a can of cola IV. The temperature of a cup of coffee Which of the variables above are examples of a continuous random variable?

A) I and II B) I, II and III C) I and III D) I, II ve IV E) I, III and IV

Soru 17:

What is the set for the possible values of the random variable stated below? "The number of coins that match when three coins are tossed at once."

A) {1,2} B) {2,3} C) {0,1} D) {0,1,2} E) {1, 2, 3}

Soru 18:

The measures of ________ are another kind of descriptive statistics and give information about the shape of distribution of the observations. Which option completes the blank in the description above?

A) Skewness B) Variance C) Standard Deviation D) Interquartile Range E) Box Plot

Soru 19:

A six-sided fair dice has been thrown 3000 times and the occurrence of number 4 is 450. What is the empirical probability of obtaining a number 4 when you throw a six-sided fair dice?

A) 0,15 B) 0,20 C) 0,25 D) 0,30 E) 0,35

Soru 20:

Which information below is correct? I The mean of a continuous random variable X is a weighted average through the possible values of the random variable and associated probabilities. II The mean of the continuous random variable is denoted by E (x). III The mean is also called as expected value and denoted by µ. IV The variance is denoted by V(x) or ?2.

A) I, II B) I,III C) I, IV D) II,III E) II, IV