Wednesday, November 20, 2013
Tuesday, November 19, 2013
Video to Help w/ Stats Q2 Project
https://drive.google.com/file/d/0B1_qk-5PZmjPSnV5MXM5WWVCSVU/edit?usp=sharing
Keep in mind that this a very amateur video and is one of the first ones I have done on IPad.
Keep in mind that this a very amateur video and is one of the first ones I have done on IPad.
Data Analysis Sheet for Q2 Stats Project
https://docs.google.com/spreadsheet/ccc?key=0Al_qk-5PZmjPdERidGd2TlB4YVB3cTZaelUxSlcxeUE&usp=sharing
I have inserted some explanatory notes in cells C1 and E1. The eventual goal will be to compare the frequency distribution for your data to the expected frequency distribution if the data were normally distributed.
I have inserted some explanatory notes in cells C1 and E1. The eventual goal will be to compare the frequency distribution for your data to the expected frequency distribution if the data were normally distributed.
Wednesday, November 13, 2013
Monday, October 28, 2013
Stats - Quick Review on What we Have Learned in Chapter 4
Section 4.1
1. A discrete random variable is one where the possible outcomes in a probability experiment can be counted.
2. A continuous random variable is one where the possible outcomes are uncountable
3. To calculate the mean of a probability distribution:
a)List all the possible values for the RV x
b)Calculate the probability of each outcome
c)Calculate the product of each x value and its probability
d) Add these products and this is your mean or expected value
4. To calculate the variance of a probability distribution:
a)Subtract the mean from each x value and square this difference
b)Multiply each squared deviation (Step "a" above) by the probability
c) Add this column and this is your variance
5. To calculate the standard deviation of your probability distribution, take the square root of your variance.
Section 4.2
1. A binomial experiment is a probability experiment where there are two possible outcomes, the experiment is performed a fixed number of times (n),and the number of successes is recorded (x). The probability of success is "p" and that of failure is "q."
2. The probability of x successes in n trials is found using the formula nCx*p^x*q^(n-x)...or using binomialpdf on TI-83 or 84 or using online calculator such as http://www.stat.berkeley.edu/~stark/Java/Html/ProbCalc.htm
3. The mean of a binomial distribution is n*p
4. The variance of a binomial distribution is n*p*q
5. The SD of a binomial distribution is the sq root of the variance
Section 4,2 - Part 1 (Geometric Probabilities)
1. The geometric probability calculates the probability that the first success in a binomial experiment will occur on trial x.
2. To calculate the geometric probability, use the formula p(x)=p*q^(x-1)
1. A discrete random variable is one where the possible outcomes in a probability experiment can be counted.
2. A continuous random variable is one where the possible outcomes are uncountable
3. To calculate the mean of a probability distribution:
a)List all the possible values for the RV x
b)Calculate the probability of each outcome
c)Calculate the product of each x value and its probability
d) Add these products and this is your mean or expected value
4. To calculate the variance of a probability distribution:
a)Subtract the mean from each x value and square this difference
b)Multiply each squared deviation (Step "a" above) by the probability
c) Add this column and this is your variance
5. To calculate the standard deviation of your probability distribution, take the square root of your variance.
Section 4.2
1. A binomial experiment is a probability experiment where there are two possible outcomes, the experiment is performed a fixed number of times (n),and the number of successes is recorded (x). The probability of success is "p" and that of failure is "q."
2. The probability of x successes in n trials is found using the formula nCx*p^x*q^(n-x)...or using binomialpdf on TI-83 or 84 or using online calculator such as http://www.stat.berkeley.edu/~stark/Java/Html/ProbCalc.htm
3. The mean of a binomial distribution is n*p
4. The variance of a binomial distribution is n*p*q
5. The SD of a binomial distribution is the sq root of the variance
Section 4,2 - Part 1 (Geometric Probabilities)
1. The geometric probability calculates the probability that the first success in a binomial experiment will occur on trial x.
2. To calculate the geometric probability, use the formula p(x)=p*q^(x-1)
Tuesday, October 22, 2013
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