'2 tailed test' presentation slideshows

Statistics

Statistics. A Word on Statistics - Wislawa Szymborska. Led to error by youth (which passes): sixty, plus or minus. Those not to be messed with: four-and-forty. Living in constant fear of someone or something: seventy-seven. Capable of happiness: twenty-some-odd at most. Harmless alone,

827 views • 64 slides

Inferential statistics

722 views • 42 slides

Hypothesis Testing:

Hypothesis Testing:. Inferential statistics. These will help us to decide if we should:. 1) believe that the relationship we found in our sample data is the same as the relationship we would find if we tested the entire population. OR.

552 views • 39 slides

URBDP 591 A Lecture 12: Statistical Inference

URBDP 591 A Lecture 12: Statistical Inference. Objectives Sampling Distribution Principles of Hypothesis Testing Statistical Significance. Inferential Statistics. Based on probability theory.

321 views • 32 slides

Reasoning in Psychology Using Statistics

Reasoning in Psychology Using Statistics. Psychology 138 2017. Distribution of sample means Standard error Central limit theorem Hypothesis testing. 5 step program Hypotheses Null and Alternative 1 or 2 tailed Error types p(Type I error) = ? alpha p(Type II error) = ? beta

205 views • 20 slides

Chapter 8

Chapter 8. The t Test for Independent Means Part 1: Oct. 8, 2013. t Test for Independent Means. Comparing two samples e.g., experimental and control group Scores are independent of each other Focus on differences betw 2 samples, so comparison distribution is:

185 views • 11 slides

Related Samples t-test

230 views • 10 slides

Ch 5: Hypothesis Tests With Means of Samples

Ch 5: Hypothesis Tests With Means of Samples. Pt 3: Sept. 11, 2014. Confidence Intervals. CI is alternative to a point estimate for an unknown population mean In pt 2 , we discussed how to calculate 95% and 99% CI (both 1 and 2-tailed). Now, how to use these CI for hypothesis testing

132 views • 5 slides