Statistics for Psychology
... Unlike the mean, the median is a good measure of central tendency to use when describing a heavily skewed set of scores. Returning to our example from above, our student’s median test score would be 94%, which is a much better indication of the student’s overall performance. Thus, the median is a be ...
... Unlike the mean, the median is a good measure of central tendency to use when describing a heavily skewed set of scores. Returning to our example from above, our student’s median test score would be 94%, which is a much better indication of the student’s overall performance. Thus, the median is a be ...
09b
... The t distribution is a specific type of bellshaped distribution with a lower height and a wider spread than the standard normal distribution. As the sample size becomes larger, the t distribution approaches the standard normal distribution. The t distribution has only one parameter, called the degr ...
... The t distribution is a specific type of bellshaped distribution with a lower height and a wider spread than the standard normal distribution. As the sample size becomes larger, the t distribution approaches the standard normal distribution. The t distribution has only one parameter, called the degr ...
Class Slides
... “Inverse” of multinomial distribution: We assume i’s. The distribution assigns pi’s probability. (i ( i 1)) 1 k ...
... “Inverse” of multinomial distribution: We assume i’s. The distribution assigns pi’s probability. (i ( i 1)) 1 k ...
Week 6, Lecture 2, Sampling
... • Estimation is appropriate when we want to estimate a population parameter. • Hypothesis testing is appropriate when we want to assess some claim about a population based on the evidence provided by a sample. ...
... • Estimation is appropriate when we want to estimate a population parameter. • Hypothesis testing is appropriate when we want to assess some claim about a population based on the evidence provided by a sample. ...
Chapter 4
... The 99th percentile of the standard normal distribution is that value of z such that the area under the z curve to the left of the value is .99 Tables give for fixed z the area under the standard normal curve to the left of z, whereas now – we have t ...
... The 99th percentile of the standard normal distribution is that value of z such that the area under the z curve to the left of the value is .99 Tables give for fixed z the area under the standard normal curve to the left of z, whereas now – we have t ...
sampling distribution of the means
... As the sample sizes increase, the variability of each sampling distribution decreases. The range of the sampling distribution is smaller than the range of the original population. The standard deviation of each sampling distribution is equal to σ/√N (where N is the size of the sample drawn from the ...
... As the sample sizes increase, the variability of each sampling distribution decreases. The range of the sampling distribution is smaller than the range of the original population. The standard deviation of each sampling distribution is equal to σ/√N (where N is the size of the sample drawn from the ...
I Agree
... have 10 numbers in a hat how many combinations of two numbers can you draw from the hat. Now you can’t pull out 00,11,22,33,44,55,66,77,88,99 – because there is only one of each number in the hat. ...
... have 10 numbers in a hat how many combinations of two numbers can you draw from the hat. Now you can’t pull out 00,11,22,33,44,55,66,77,88,99 – because there is only one of each number in the hat. ...
probability
... individual outcomes are uncertain but there is a regular distribution of outcomes in a large number of repetitions Relative frequency (proportion of occurrences) of an outcome settles down to one value over the long run. That one value is then defined to be the probability of that outcome. ...
... individual outcomes are uncertain but there is a regular distribution of outcomes in a large number of repetitions Relative frequency (proportion of occurrences) of an outcome settles down to one value over the long run. That one value is then defined to be the probability of that outcome. ...
