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To determine the probability of the spinner landing on B and then C, we need to know the individual probabilities of landing on B and C. Assuming the spinner is fair and has an equal number of sections for A, B, and C, the probability of landing on B is 1/3, and the probability of landing on C is also 1/3. Thus, the combined probability of landing on B first and then C is (1/3) * (1/3) = 1/9.
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If probability of reading newspaper a is .2 probability of reading newspaper b is .16 probability of reading newspaper c is .14.what is the probability that a person selected at random will read none?
The Probability of NOT reading newspaper a is .8 The Probability of NOT reading Newspaper b is .84 The probability of NOT reading Newspaper c is .86 Therefore, .8*.84*.86=0.57792=57.792%
If a spinner with 3 equal sections labeled A B and C is spun 4 times what is the probability of spinning B exactly 2 times?
There are 34 ie 81 possibilities: B appears exactly twice in 18 of these: AABB, ABAB, ABBA, ABBC,ABCB, ACBB, BABA, BABC, BBAA, BBAC, BCAB, BCCB, CABB,CBAB, CBBA, CBBC, CCBA and CCBB.B comes up exactly twice in 18 of the 81 possibilities so probability = 18/81 = 0.22 or 22.2%
What is the beta distribution formula?
The probability density function for a beta distribution with parameters a and b (a, b > 0) is of the form:B(x; a, b) = c*x*(a-1)*(1-x)(b-1) where 0 <= x <= 1. c is a constant such that the integral is 1 and it can be shown that c = G(a+b)/[G(a)*G(b)] where G is the Gamma function.
What is the probability of the letter c?
The total number of alphabets is 26. So the probability of letter C = No of time c is present in the alphabets / Total number of alphabets So probability of letter c is 1/26
Maria keeps her four stuffed bears lined up on a shelf over her bed how many arrangements of the bears are possible?
The answer is 4! (4 factorial), the same as 4x3x2x1, which equals 24 combinations. The answer is 24 and this is how: A b c d A b d c A c d b A c b d A d c b A d b c B c d a B c a d B d a c B d c a B a c d B a d c C d a b C d b a C a b d C a d b C b d a C b a d D a b c D a c b D b c a D b a c D c a b D c b a
A b c and d tells the truth with probability 13 suppose that a makes a statement and then d says that c says that b says that a was telling the truth what is the probability that a was true?
the probability would be 1/3
Which of the following is incorrect Select one a. Probability distribution is used to compute continuous random variables b. Probability distribution equals to one. c. Probability distribution is used?
b is incorrect while c is virtually meaningless.
If probability of reading newspaper a is .2 probability of reading newspaper b is .16 probability of reading newspaper c is .14.what is the probability that a person selected at random will read none?
The Probability of NOT reading newspaper a is .8 The Probability of NOT reading Newspaper b is .84 The probability of NOT reading Newspaper c is .86 Therefore, .8*.84*.86=0.57792=57.792%
If a spinner with 3 equal sections labeled A B and C is spun 4 times what is the probability of spinning B exactly 2 times?
There are 34 ie 81 possibilities: B appears exactly twice in 18 of these: AABB, ABAB, ABBA, ABBC,ABCB, ACBB, BABA, BABC, BBAA, BBAC, BCAB, BCCB, CABB,CBAB, CBBA, CBBC, CCBA and CCBB.B comes up exactly twice in 18 of the 81 possibilities so probability = 18/81 = 0.22 or 22.2%
What is the probability of getting this question correct A.25 B.50 C.60 D.25?
60
WHAT IS THE PROBABILITY OF CORRECTLY GUESSING ANSWER TO A MULTIPLE CHOICE question WHERE ONE RESPONSE HAS TO BE SELECTED FROM a b c d?
It is 0.25
What is the probability that the number of batteries tested is (a) one (b) two and (c) three?
The answer requires more information about the context.
What is the beta distribution formula?
The probability density function for a beta distribution with parameters a and b (a, b > 0) is of the form:B(x; a, b) = c*x*(a-1)*(1-x)(b-1) where 0 <= x <= 1. c is a constant such that the integral is 1 and it can be shown that c = G(a+b)/[G(a)*G(b)] where G is the Gamma function.
What is joint probability?
Let X and Y be two random variables.Case (1) - Discrete CaseIf P(X = x) denotes the probability that the random variable X takes the value x, then the joint probability of X and Y is P(X = x and Y = y).Case (2) - Continuous CaseIf P(a < X < b) is the probability of the random variable X taking a value in the real interval (a, b), then the joint probability of X and Y is P(a < X< b and c < Y < d).Basically joint probability is the probability of two events happening (or not).
What is the probability of the letter c?
The total number of alphabets is 26. So the probability of letter C = No of time c is present in the alphabets / Total number of alphabets So probability of letter c is 1/26
What are the notes on the recorder for Jingle Bells?
(b b b)( b b b )(b d g a)(b....)(c c c c)(c b b b)(a a a b)(a...d)(b b b)(b b b)(b d g a)(b....)(c c c c)(c b b b)(d d c a)(g.....)
If you spin a spinner 80 times how many times would you expect it to land on c?
The answer will depend on how man divisions the spinner has and how many of them are labelled c. Since you have chosen not to share this information the question cannot be answered.
