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In order to calculate such probability, you have to know the number of questions in that particular Myers Briggs test that refer to the Thinking/Feeling dichotomy. Assuming that you will pick answers randomly, the probability will be lower when there are more questions. For 8 questions on T/F preference, there is a 12.5% probability for a score of 0 on Feeling. For 16 questions, the probability is 6.2%. For 32 questions, the probability is 3.1%. etc. If you pick your answers according to your own beliefs, it would be very difficult to assess such a probability. However there will be a approx. 30% higher chance for a man to score 0 on Feeling than for a woman.
What else can I help you with?
How is probability used in sports?
Probability could be used in a sport to test or experiment the chances of getting an injury or losing/winning a game.
What are the odds of getting 100 percent on a 10 question multiple choice test where each question has 2 possible answers?
The odds of getting 100 percent on a 10 question multiple choice test with 2 possible answers for each question can be calculated using the probability formula. Since there are 2 options for each question, the probability of getting a question right by guessing is 1/2 or 0.5. To calculate the probability of getting all 10 questions correct by guessing, you would multiply the probability of getting each question right (0.5) by itself 10 times, resulting in a probability of (0.5)^10, which is approximately 0.0009765625 or 0.09765625%.
What is the probability of getting a question right simple by guessing?
That depends a lot on the specific circumstances, of how you guess. For instance, if a test has true/false questions, the probability is 1/2; if it is a multiple-choice question with 4 options, the probability is 1/4; if there are 6 options, the probability is 1/6, etc.; if you have to calculate a number (and it is NOT a multiple choice question), the probability is rather low, indeed.
Is alpha the probability that the test statistic would assume a value as or more extreme than the observed value of the test?
Alpha is the probability that the test statistics would assume a value as or more extreme than the observed value of the test, BY PURE CHANCE, WHEN THE NULL HYPOTHESIS IS TRUE.
In a multiple choice test what is the probability of getting two answers correct?
That depends on how many questions there are, how many choices are listed for each question, and whether any obviously-stupid answers are included among the choices. If any of those factors changes, then the probability changes. One thing we can guarantee, however, even without knowing any of these factors: If you have studied the subject and know the material, then your probability of getting correct answers increases dramatically.
How is probability used in sports?
Probability could be used in a sport to test or experiment the chances of getting an injury or losing/winning a game.
Probability of getting all questions wrong on multiple choice test?
In order to answer, the number of questions on the test must be given.
What is the probability of answering a 9 question true false test correctly if you randomly guess?
The probability of getting the first answer correct is 1/2 The probability of getting the first two correct is 1/2 * 1/2 = 1/(22) The probability of getting all 9 correct is 1/(29) = 1/512 which is just under 0.2%
How do scientists use statistics when they test a hypothesis?
When testings a hypothesis, statistics can be used to calculate the chances or probability of getting a result
A test consists of 15 true false questions what is the probability if the student guesses on all 15 questions?
What is the probability of what?Guessing them all correctly?Getting half of the correct?Getting them all wrong?PLEASE be specific with your questions if you want WikiAnswers to help.
What is the probability of getting five questions correct on a 20 question multiple choice test?
The answer depends on the number of choices available for each question.
What are the odds of getting 100 percent on a 10 question multiple choice test where each question has 2 possible answers?
The odds of getting 100 percent on a 10 question multiple choice test with 2 possible answers for each question can be calculated using the probability formula. Since there are 2 options for each question, the probability of getting a question right by guessing is 1/2 or 0.5. To calculate the probability of getting all 10 questions correct by guessing, you would multiply the probability of getting each question right (0.5) by itself 10 times, resulting in a probability of (0.5)^10, which is approximately 0.0009765625 or 0.09765625%.
What is the probability that a paternity test will be correct?
As part of a paternity test it includes a probability value to determine the probability that the man in question is biological father or not. If the probability value is 99.99% and the mother, child and man in question have all been tested then the man is the father. If it is less than that then the man is not the father. It is impossible to get a probability value of 100% unless every man in the world were tested. As it stands a paternity test is as accurate as its probability value. Therefore a paternity test with a probability value of 99.99% has a 99.99% chance of being correct. A paternity test is very accurate and does a great job of showing a childs genetic parents. The test is 99.9% accurate.
What is the probability of getting a question right simple by guessing?
That depends a lot on the specific circumstances, of how you guess. For instance, if a test has true/false questions, the probability is 1/2; if it is a multiple-choice question with 4 options, the probability is 1/4; if there are 6 options, the probability is 1/6, etc.; if you have to calculate a number (and it is NOT a multiple choice question), the probability is rather low, indeed.
How is the power of a statistical test defined?
The power of a statistical test is defined as being a probability that a test will product a result that is significantly different. It can be defined as equaling the probability of rejecting the null hypothesis.
Is there a direct relationship between the power of a test and the probability of a Type II error?
The power of a test is 1 minus the probability of a Type II error.
On a math test 5 out of 20 students got an A If three students are chosen at random what is the probability that all three got an A on the test?
P( a student getting an A) = 5/20=1/4 There are 3 students. The probability that all three got an A is (1/4)(1/4)(1/4)=1/64.
