1 KONSEP DASAR PROBABILITAS STATISTIK DAN PROBABILISTIK
TEKNIK SIPIL UNSRI
2 Kondisi acak
Kondisi acak adalah satu kondisi dimana hasil atau keadaan tidak dapat diprediksi
Contoh Status penyakit Anda memiliki penyakit Anda tidak memiliki penyakit Hasil test positif Hasil test negatif 3 Definisi Probabilitas
Probabilitas adalah nilai antara 0 dan 1 yang dituliskan dalam bentuk desimal ataupun pecahan.
Secara sederhana Probability adalah bilangan antara 0 dan 1 yang menunjukkan suatu hasil yang diperoleh dari kondisi acak.
Untuk satu susunan kemungkinan yang lengkap dalam kondisi acak maka total atau jumlah probabilitas adalah harus sama dengan 1.
4 Assigning ProbabilityHow likely it is that a particular outcome will be the result of a random circumstance The Relative Frequency Interpretation of Probability In situations that we can imagine repeating many times we define the probability of a specific outcome as the proportion of times it would occur over the long run -- called the relative frequency of that particular outcome. 5 Contoh Probabilitas dalam perencanaan transportasi Di suatu ruas jalan direncanakan untuk membuat jalur khusus belok kanan. Probabilitas 5 mobil menunggu berbelok diperlukan untuk menentukan panjang garis pembagi jalan. Untuk keperluan ini dilakukan survey selama 2 bulan dan diperoleh 60 hasil pengamatan.
Probabilitas kejadian 5 mobil menunggu untuk berbelok kanan adalah 3/60 (2/60 1/60)
6 Determining the Relative Frequency(Probability) of an Outcome Method 1 Make an Assumption about the Physical World (there is no bias) A Simple LotteryChoose a three-digit number between 000 and 999. Player wins if his or her three-digit number is chosen. Suppose the 1000 possible 3-digit numbers (000 001 002 999) are equally likely.In long run a player should win about 1 out of 1000 times. Probability 0.0001 of winning.This does not mean a player will win exactly once in every thousand plays. 7 Determining the Relative Frequency(Probability) of an Outcome Method 2 Observe the Relative Frequency of random circumstances The Probability of Lost Luggage1 in 176 passengers on U.S. airline carriers will temporarily lose their luggage.This number is based on data collected over the long run. So the probability that a randomly selected passenger on a U.S. carrier will temporarily lose luggage is 1/176 or about 0.006. 8 Proportions and Percentages as Probabilities Ways to express the relative frequency of lost luggage
The proportion of passengers who lose their luggage is 1/176 or about 0.006 (6 out of 1000).
About 0.6 of passengers lose their luggage.
The probability that a randomly selected passenger will lose his/her luggage is about 0.006.
The probability that you will lose your luggage is about 0.006.
Last statement is not exactly correct your probability depends on other factors (how late you arrive at the airport etc.). 9 Estimating Probabilities from Observed Categorical Data Assuming data are representative the probability of a particular outcome is estimated to be the relative frequency (proportion) with which that outcome was observed.Approximate margin of error for the estimated probability is 10 Nightlights and Myopia Assuming these data are representative of a larger population what is the approximate probability that someone from that population who sleeps with a nightlight in early childhood will develop some degree of myopia Note 72 7 79 of the 232 nightlight users developed some degree of myopia. So we estimate the probability to be 79/232 0.34. This estimate is based on a sample of 232 people with a margin of error of about 0.066 (1/v232 0.666) 11 The Personal Probability Interpretation Personal probability of an event the degree to which a given individual believes the event will happen. Sometimes subjective probability used because the degree of belief may be different for each individual.
Restrictions on personal probabilities
Must fall between 0 and 1 (or between 0 and 100).
Must be coherent.
12 Probability Definitions and Relationships Sample space collection of unique nonoverlapping possible outcomes of a random circumstance. Simple event one outcome in the sample space a possible outcome of a random circumstance. Event a collection of one or more simple events in the sample space often written as A B C and so on. 13 Assigning Probabilities to Simple Events P(A) probability of the event A
Conditions for Valid Probabilities
Each probability is between 0 and 1.
The sum of the probabilities over all possible simple events is 1.
Equally Likely Simple EventsIf there are k simple events in the sample space and they are all equally likely then the probability of the occurrence of each one is 1/k. 14 Example Probability of Simple Events Random Circumstance A three-digit winning lottery number is selected.Sample Space 000001002003 . . . 997998999. There are 1000 simple events.Probabilities for Simple Event Probability any specific three-digit number is a winner is 1/1000. Assume all three-digit numbers are equally likely. Event A last digit is a 9 009019 . . . 999. Since one out of ten numbers in set P(A) 1/10. Event B three digits are all the same 000 111 222 333 444 555 666 777 888 999. Since event B contains 10 events P(B) 10/1000 1/100.
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