Vocab Quiz Tomorrow + HW!

1.) Please complete the "testing hypotheses with an interval" problem (context = a media report about bullying behavior) provided in class or below. 

• Check out the red bullets in the image below--this is what I'm looking for in your answer to #3
• If you're having trouble deciding whether to reject or fail to reject the null based on your interval, first try to interpret the interval...
• What does your interval mean? 
• "We are ____% confident that the true ______________ falls between ____ and _____ based on this sample of ____."
• Now, based on that interpretation, do you think you should reject or fail to reject the null? Why? 
• Think: what were you trying to prove in this context? 

2.) Tomorrow we will start class with our chapter 20 vocab quiz! Here's what to study...

• Hypothesis Test (what do we use it for?--to see if a parameter has increased, decreased, or changed)
• Confidence Interval (what do we use it for?--to estimate the value of a population parameter)
• Sampling Variability
• Null Hypothesis
• Alternative Hypothesis
• Conditions: know how to check each, why we check each (from last vocab quiz), and which condition differs for an interval/test
• Standardized Test Statistic
• PValue
• Standard Error v. Standard Deviation
• Statistic
• Parameter
• Alpha Level/Significance Level
• Know how to write conclusions:
• When do we reject Ho (based on alpha level, p-value)?
• When do we fail to reject Ho (based on alpha level, p-value)?
• When do we say "there IS evidence of the Ha?".
• When do we say "there IS NOT evidence of the Ha?"
• Chapter 19 Vocab (that might be on this quiz)....
• Critical Value
• Point Estimate
• Interpret Confidence LEVEL v. Interpret Confidence INTERVAL
• Why do we check each condition?
• Randomization: to assume our sample represents the population
• 10%: to assume independence within our sample
• This means we want to assume that one person's response or one data value is not related to another
• Success/Failure: to make sure our sample is large enough

Today's Class Recap:

• Stamp = Understanding P-Values (like yesterday's packet)
• HW Questions + Connect to PValues
• Ch. 21 Notes:
• Types of Error (Type I and Type II Errors)
• Described what types of errors we could make using a trial context and/or using a "medical testing" context
• Looked at what alpha levels correspond to what p-values, based on whether we conduct a one or two sided test

And don't forget, we have a unit test on everything confidence intervals and hypothesis tests (that we've learned so far) on Monday 3/18!