Estimating with Confidence and Testing a Claim

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Across
  1. 3. if parameter is different than null hypothesis value
  2. 7. ___value of parameter is reasonable/believable value based on statistical test
  3. 10. if p value is less than alpha, we say the results of the study are ___ and we reject the null hypothesis and conclude it is convincing for the alternative hypothesis
  4. 11. after the conditions are met, we use ___ to test a claim about the population mean
  5. 12. probability, computed assuming that the null hypothesis is true that the statistic would take as extreme or more extreme than actually observed
  6. 13. statistic that provides an estimate for a population parameter
  7. 15. if we reject the null hypothesis but it is actually true
  8. 16. alternative hypothesis is ___ if it states that the parameter is larger than the null hypothesis or smaller than the null value
  9. 17. gives internal or plausible values of the parameter (point estimate+/- margin of error
  10. 18. use to specify particular t distribution. Equals the sample size minus one
  11. 19. different shape than the standard normal curve, but is still symmetric with a single peak at 0 but there is more area in the tails
Down
  1. 1. claim that we weigh evidence against in a statistical test
  2. 2. overall success rate of method for calculating confidence interval
  3. 4. measures how far a sample statistic diverges from what we expect if the null hypothesis were true
  4. 5. when the standard deviation of the statistic is estimated from data, the result is called the ___ of the statistic
  5. 6. a multiplier that makes an interval wide enough to have stated capture rate
  6. 7. value of that statistic from a sample
  7. 8. if we fail to reject the null hypothesis when the alternative hypothesis is true
  8. 9. claim about population that we are trying to find evidence for
  9. 14. difference between point estimate and true parameter value will be less than ___ of all samples