Corpus Linguistics: the basics
... Commonly used statistical tests • Chi square test – …compares the difference between the observed values (e.g. the actual frequencies extracted from corpora) and the expected values (e.g. the frequencies that one would expect if no factor other than chance was affecting the frequencies) ...
... Commonly used statistical tests • Chi square test – …compares the difference between the observed values (e.g. the actual frequencies extracted from corpora) and the expected values (e.g. the frequencies that one would expect if no factor other than chance was affecting the frequencies) ...
252soln0
... b) Decide on what values of 1 to use to compute , the probability of a type II error. The usual set of values includes the mean from the null hypothesis, the critical values, a point about midway between these values and two points, one further out beyond the critical value by a distance equal to ...
... b) Decide on what values of 1 to use to compute , the probability of a type II error. The usual set of values includes the mean from the null hypothesis, the critical values, a point about midway between these values and two points, one further out beyond the critical value by a distance equal to ...
Comparing Two Population Means
... mM= mean body temperature for males Ho: mF = mM or equivalently (mF – mM) = 0 HA: mF > mM or equivalently (mF – mM) > 0 ...
... mM= mean body temperature for males Ho: mF = mM or equivalently (mF – mM) = 0 HA: mF > mM or equivalently (mF – mM) > 0 ...
Unit 6 – confidence intervals
... Lower Limit = Sample Mean – MOE Upper Limit = Sample Mean + MOE We are 99% confident that the mean length of time an adult reads the paper is between … ...
... Lower Limit = Sample Mean – MOE Upper Limit = Sample Mean + MOE We are 99% confident that the mean length of time an adult reads the paper is between … ...
Document
... When a sample is drawn from a normally distributed parent population, the quantity (n 1) ...
... When a sample is drawn from a normally distributed parent population, the quantity (n 1) ...
ANOVA in R
... response values to ranks, and tests whether the ranks are distributed equally across the conditions, as would be expected under the null hypothesis. 7. ANOVA as Linear Regression Analysis This time, rather than ‘attaching’ the data frame, we will use the ‘with’ construct (see session one) to name th ...
... response values to ranks, and tests whether the ranks are distributed equally across the conditions, as would be expected under the null hypothesis. 7. ANOVA as Linear Regression Analysis This time, rather than ‘attaching’ the data frame, we will use the ‘with’ construct (see session one) to name th ...
252x0763
... 4. (Extra Credit) Check your work on Minitab. Remind me that you did extra credit on your front page. For a Chi-squared test of Independence or Homogeneity, put your observed data in adjoining columns. Use the Stat pull-down menu. Choose Tables and then Chi Squared Test. Your output will show O and ...
... 4. (Extra Credit) Check your work on Minitab. Remind me that you did extra credit on your front page. For a Chi-squared test of Independence or Homogeneity, put your observed data in adjoining columns. Use the Stat pull-down menu. Choose Tables and then Chi Squared Test. Your output will show O and ...
London School of Business & Finance (HK) Ltd.
... population, we will use a sample A simple random sample is one where every population member has an equal chance of being selected A sampling distribution is the distribution of sample statistics for repeated samples of size n Sampling error is the difference between a sample statistic and tru ...
... population, we will use a sample A simple random sample is one where every population member has an equal chance of being selected A sampling distribution is the distribution of sample statistics for repeated samples of size n Sampling error is the difference between a sample statistic and tru ...
sampling distribution
... A hot dog manufacturer asserts that one of its brands of hot dogs has a average fat content of 18 grams per hot dog with standard deviation of 1 gram. Consumers of this brand would probably not be disturbed if the mean was less than 18 grams, but would be unhappy if it exceeded 18 grams. An indepen ...
... A hot dog manufacturer asserts that one of its brands of hot dogs has a average fat content of 18 grams per hot dog with standard deviation of 1 gram. Consumers of this brand would probably not be disturbed if the mean was less than 18 grams, but would be unhappy if it exceeded 18 grams. An indepen ...
