Basic Statistics

12345678910111213141516171819202122232425262728293031
Across
  1. 2. The P-value is estimated under the assumption that the ____ hypothesis is true
  2. 3. When comparing group means for continuous data, you can use a T-test or Analysis of variance (_____; use the acronym)
  3. 6. one-way ANOVA tests the hypothesis that all sample means are equal. It is used when there are 2 or more levels of the single ______ variable or groups
  4. 10. How well can the independent variable predict the dependent variable? This question is answered by R-squared, the regression ______. Its values range from 0-1.
  5. 11. A ____-square test is used for discrete data; it is used to determine whether there is a statistically significant difference between 2 categorical variables or 2 proportions
  6. 12. Regression is useful when you want to look for an association between 2 variables or ____ a value of one variable for a given value of the other
  7. 16. A _____ R-squared is better at predicting the dependent variable
  8. 17. Confidence ____ is the likelihood (expressed as percentage or probability) that a specified interval will contain the population parameter
  9. 18. Two sample t-tests test the hypothesis that means of two independent groups are not _____
  10. 19. The association of 2 variables is called
  11. 20. A relatively small subset from a population
  12. 21. _____ regression has one independent variable. Example: Does knowing one's height predict age?
  13. 23. _____ statistics are used to make an inference, on the basis of data, about the (non)existence of a relationship between the independent and dependent variables
  14. 24. _____ regression is for discrete data, and is used to estimate probabilities. Ex: Insurance quotes are based on the likelihood of you having an accident
  15. 26. A ____ sample t-test or one sample t-test is used to compare the mean of a single sample of scores to a known or hypothetical population mean
  16. 27. ______ regression has more than one independent variable. Ex: Does knowing one's height, smoking status, and BMI predict age?
  17. 28. Random samples help prevent systematic ____
  18. 30. P-value is the ______ that the observed result is true
  19. 31. If the p-value is less than 0.05, the result is statistically ______
Down
  1. 1. A group that includes all the cases (individuals, objects, groups) in which the researcher is interested
  2. 4. The goal of calculating _______ intervals is to determine how sure we are that the true population mean is approximated by the sample mean
  3. 5. _____ samples are selected from a population by chance
  4. 7. Two sample t-tests assume that the underlying population _____ is normal
  5. 8. _____ statistics are used to organize and summarize data
  6. 9. Height and age are examples of _____ data
  7. 13. To transform ______ data to a normal distribution, you can take the natural log of each variable, then do a parametric test on the resulting normal distribution
  8. 14. A sample must be _____ of the population
  9. 15. A two sample t-test is a test differences in _____ in two samples
  10. 22. Data that is non-continuous is called _____ data
  11. 25. _____ does NOT assume causality
  12. 29. Time from transplant surgery until new organ failure is an example of _____ analysis