Notes 6 - Wharton Statistics
... Example 5: People v. Collins In 1964, a woman shopping in Los Angeles had her purse snatched by a young, blond female wearing a ponytail. The thief fled on foot but was seen shortly thereafter getting into a yellow automobile drive by an African American male who had a mustache and a beard. A police ...
... Example 5: People v. Collins In 1964, a woman shopping in Los Angeles had her purse snatched by a young, blond female wearing a ponytail. The thief fled on foot but was seen shortly thereafter getting into a yellow automobile drive by an African American male who had a mustache and a beard. A police ...
Equally Likely outcomes
... The assumption that the sample is drawn at random means that all samples of size n have an equal chance of being chosen (much of statistical analysis depends on the assumption that samples are chosen randomly). I Flip a fair coin n times and observe the sequence of heads and tails that results. I Ro ...
... The assumption that the sample is drawn at random means that all samples of size n have an equal chance of being chosen (much of statistical analysis depends on the assumption that samples are chosen randomly). I Flip a fair coin n times and observe the sequence of heads and tails that results. I Ro ...
Binomial Distribution
... probability of getting more than 10 heads? Let X = the number of heads in 15 flips of the fair coin. x takes on the values 0, 1, 2, 3, ..., 15. Since the coin is fair, p = 0.5 and q = 0.5. The number of trials is n = 15. The probability question can be stated mathematically as P(x > 10). ...
... probability of getting more than 10 heads? Let X = the number of heads in 15 flips of the fair coin. x takes on the values 0, 1, 2, 3, ..., 15. Since the coin is fair, p = 0.5 and q = 0.5. The number of trials is n = 15. The probability question can be stated mathematically as P(x > 10). ...
File
... Note: n p = expected number of successes and n(1- p) = expected number of failures Please note: We can only use this approximation if np >10. (Even though our calculator can handle any reasonable sample size, we need to use the normal approximation to the binomial when we do the inference procedures ...
... Note: n p = expected number of successes and n(1- p) = expected number of failures Please note: We can only use this approximation if np >10. (Even though our calculator can handle any reasonable sample size, we need to use the normal approximation to the binomial when we do the inference procedures ...
distributions
... d. What proportion of students spent more than $535? (Start like you did for part b, but then you’ll have to do a “by hand” calculation using the complement rule to determine the final answer. [Note: The notation for the probability you’re finding is P(X > $535).] ...
... d. What proportion of students spent more than $535? (Start like you did for part b, but then you’ll have to do a “by hand” calculation using the complement rule to determine the final answer. [Note: The notation for the probability you’re finding is P(X > $535).] ...
Alg2 Notes 7.2.notebook
... 6. Two integers from 1 to 10 are randomly selected. The same number may be chosen twice. What is the probability that both numbers are less than 9? ...
... 6. Two integers from 1 to 10 are randomly selected. The same number may be chosen twice. What is the probability that both numbers are less than 9? ...
