Statistics Slide Show
... • a frequency distribution tells the frequency/probability of attribute values across a set of scores (sample of population) • what is the freq distn of age for the sample? • a sampling distribution tells the frequency/probability of a statistical value about an attribute (e.g., mean age), from a se ...
... • a frequency distribution tells the frequency/probability of attribute values across a set of scores (sample of population) • what is the freq distn of age for the sample? • a sampling distribution tells the frequency/probability of a statistical value about an attribute (e.g., mean age), from a se ...
Activity 3.7 Statistical Analysis with Excel (PREVIEW)
... 7. Calculate the statistics indicated in the image to the right. Create the text labels in the appropriate cells. Be sure to calculate the population standard deviation (STDEV.P) as well as the appropriate Mode function (single or multimodal). OPTIONAL: Use formulas to calculate the standard deviati ...
... 7. Calculate the statistics indicated in the image to the right. Create the text labels in the appropriate cells. Be sure to calculate the population standard deviation (STDEV.P) as well as the appropriate Mode function (single or multimodal). OPTIONAL: Use formulas to calculate the standard deviati ...
Introduction to Hypothesis Testing
... • If the sample size is relatively large (>30) both z and t tests can be used for testing hypothesis. • “t-test” is robust against normality. • If the sample size is small and the sample is from a very skewed or other non-normal distribution, we can use nonparametric alternatives Signed-Rank Test. • ...
... • If the sample size is relatively large (>30) both z and t tests can be used for testing hypothesis. • “t-test” is robust against normality. • If the sample size is small and the sample is from a very skewed or other non-normal distribution, we can use nonparametric alternatives Signed-Rank Test. • ...
normal distribution
... NORMAL DISTRIBUTION EXPERIMENT! Person 1: Records data (nearest 10th of a second) Person 2: Looks at clock and says “START” and “STOP” for 5 seconds Person 3: Hits start and stop on stopwatch when person 2 tells them to. Switch after 10 trials. Share your data with each other. Make a frequency graph ...
... NORMAL DISTRIBUTION EXPERIMENT! Person 1: Records data (nearest 10th of a second) Person 2: Looks at clock and says “START” and “STOP” for 5 seconds Person 3: Hits start and stop on stopwatch when person 2 tells them to. Switch after 10 trials. Share your data with each other. Make a frequency graph ...
Introduction to Statistics with R Introduction Statistics Descriptive
... results will reflect something other than the effects of the voter education intervention. This is because there are, no doubt, qualities about those volunteers that make them different from students who do not volunteer. In addition, those differences may very well correlate with propensity to vote ...
... results will reflect something other than the effects of the voter education intervention. This is because there are, no doubt, qualities about those volunteers that make them different from students who do not volunteer. In addition, those differences may very well correlate with propensity to vote ...
one-way analysis of variance (ANOVA)
... 6. Interpret the results of the one-way ANOVA. If the observed significance level (p-value) of the F-test statistic is less than the chosen value of α, reject the null hypothesis in favor of the alternative. Otherwise, do not reject the null hypothesis. *Note that rejecting the null hypothesis only ...
... 6. Interpret the results of the one-way ANOVA. If the observed significance level (p-value) of the F-test statistic is less than the chosen value of α, reject the null hypothesis in favor of the alternative. Otherwise, do not reject the null hypothesis. *Note that rejecting the null hypothesis only ...
Chi-squared test for Categorical Data
... determined by the levels of a discrete factor. Let n1 , n2 , . . . , nk be the counts of the numbers of experimental units in the k categories, where n1 + n2 + · · · + nk = n.. The probability that an experimental unit is classified to category i is pi , for i = 1, . . . , k, so that p1 + p2 + · · · ...
... determined by the levels of a discrete factor. Let n1 , n2 , . . . , nk be the counts of the numbers of experimental units in the k categories, where n1 + n2 + · · · + nk = n.. The probability that an experimental unit is classified to category i is pi , for i = 1, . . . , k, so that p1 + p2 + · · · ...
Descriptive Statistics
... The distribution is a summary of the frequency of individual values or ranges of values for a variable. The simplest distribution would list every value of a variable and the number of persons who had each value. For instance, a typical way to describe the distribution of college students is by year ...
... The distribution is a summary of the frequency of individual values or ranges of values for a variable. The simplest distribution would list every value of a variable and the number of persons who had each value. For instance, a typical way to describe the distribution of college students is by year ...
