1 Population and Sample Proportion
... Consider categorical data for a population of size N . If M individuals from the population belong to a certain group, we say that the proportion of the population that belongs to this group is p = M/N . Now suppose that a sample of size m is randomly selected and k individuals from the sample belon ...
... Consider categorical data for a population of size N . If M individuals from the population belong to a certain group, we say that the proportion of the population that belongs to this group is p = M/N . Now suppose that a sample of size m is randomly selected and k individuals from the sample belon ...
Roxy Peck`s collection of classroom voting questions for statistics
... 2. The method used to construct the interval will produce an interval that includes the value of the population proportion about 90% of the time in repeated sampling. 3. If 100 different random samples of size 60 from this population were each used to construct a confidence 90% confidence interval, ...
... 2. The method used to construct the interval will produce an interval that includes the value of the population proportion about 90% of the time in repeated sampling. 3. If 100 different random samples of size 60 from this population were each used to construct a confidence 90% confidence interval, ...
Outline - Benedictine University
... Two-sided test: |zc| >= |zt|; also p <= α One-sided test: |zc| >= |zt|, AND zc and zt have the same sign; also p <= α Significance level (p-value) ("p" stands for probability) Actual risk (probability) of a Type I error if Ho is rejected on the basis of the experimental evidence Graphically, the are ...
... Two-sided test: |zc| >= |zt|; also p <= α One-sided test: |zc| >= |zt|, AND zc and zt have the same sign; also p <= α Significance level (p-value) ("p" stands for probability) Actual risk (probability) of a Type I error if Ho is rejected on the basis of the experimental evidence Graphically, the are ...
INFERENTIAL STATISTICS
... Interestingly, it is the absolute size of the sample rather than the ratio of sample size to population size, that most affects sampling error. If you don’t have a population standard error, you rely on a best estimate—the standard deviation of the sample. THE LOGIC OF HYPOTHESIS TESTING—AKA Six ste ...
... Interestingly, it is the absolute size of the sample rather than the ratio of sample size to population size, that most affects sampling error. If you don’t have a population standard error, you rely on a best estimate—the standard deviation of the sample. THE LOGIC OF HYPOTHESIS TESTING—AKA Six ste ...
Psyc 21621: Quantitative Methods I - personal.kent.edu
... a. It is symmetric b. It has a mean of 0 c. It is unimodal d. All of the above are always true ...
... a. It is symmetric b. It has a mean of 0 c. It is unimodal d. All of the above are always true ...
Lesson 11 - hedge fund analysis
... Binomial versus Poisson In the event where no specific reference is made to the number of trials (such as in games of chance like blackjack, poker, lottery), and provided that the other properties of the Poisson distribution hold, a Poisson experiment will contain reference to a time frame, or alte ...
... Binomial versus Poisson In the event where no specific reference is made to the number of trials (such as in games of chance like blackjack, poker, lottery), and provided that the other properties of the Poisson distribution hold, a Poisson experiment will contain reference to a time frame, or alte ...
Date
... A) You should not use the t-procedure since the population does not have a normal distribution. B) You may use the t-procedure provided your sample size is large, say at least 50. C) You may use the t-procedure, but you should probably only claim the significance level is ...
... A) You should not use the t-procedure since the population does not have a normal distribution. B) You may use the t-procedure provided your sample size is large, say at least 50. C) You may use the t-procedure, but you should probably only claim the significance level is ...
Assignment 2
... sentences (e.g., “Small effect size.” Is not acceptable; “The small effect size means that X is lower than Y but not sufficiently lower that it would require action,” is better) 2. Peggy wants to know if her pack of cookies was statistically different from those of the rest of the class. She found o ...
... sentences (e.g., “Small effect size.” Is not acceptable; “The small effect size means that X is lower than Y but not sufficiently lower that it would require action,” is better) 2. Peggy wants to know if her pack of cookies was statistically different from those of the rest of the class. She found o ...
Estimating µ with Small Samples:
... Estimating µ with Small Samples: For samples of size 30 or larger we can approximate the population standard deviation σ by s, the sample standard deviation. Then we can use the central limit theorem to find bounds on the error of estimate and confidence intervals for µ. However, there are many prac ...
... Estimating µ with Small Samples: For samples of size 30 or larger we can approximate the population standard deviation σ by s, the sample standard deviation. Then we can use the central limit theorem to find bounds on the error of estimate and confidence intervals for µ. However, there are many prac ...