TI Summary.docx

# If you have the raw data under inpt put the cursor on

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If you have the raw data. Under “Inpt:” put the cursor on “Data” and press ENTER . This will let you input , , the list and the frequency (usually 1 ), and the appropriate form of . After that, put the cursor on ‘Calculate’ and press ENTER . You will get the form of the alternative hypothesis, the test statistic , the p -value (called p), , s and n . You can use ‘Draw’ as before. t based HT for the Population Mean,  . Population standard deviation  unknown . Provided the appropriate conditions hold. 1) Press STAT - > - > and scroll down to “2.” Press ENTER to get the small-sample HT for means (‘T- Test’). 2) If you have , s and n . Under “Inpt:” put the cursor on “Stats” and press ENTER . This will let you input ( ), (the sample mean), s (the sample s.d, called ), n (the sample size), and then choose the appropriate form of ( 0 : a H , 0 : a H , or 0 : a H ) using your arrow keys. After doing that, put the cursor on ‘Calculate’ and press ENTER . You will get the form of the alternative hypothesis, the test statistic , the p -value (called p), , and n . Then if you do step #1 again, scroll down to the bottom, choose ‘Draw’ and press ENTER , you will get the picture of the p- value. If you have the raw data. Under “Inpt:” put the cursor on “Data” and press ENTER . This will let you input ( ), the list and the frequency (usually 1), and the appropriate form of . After that, put the cursor on ‘Calculate’ and press ENTER . You will get the form of the alternative hypothesis, the test statistic , the p -value (called p), , s and n . You can use ‘Draw’ as before. HT for the Population Proportion, p , based on the sample proportion = x / n . Provided the appropriate conditions hold. This is written for the notation of most books (but not Peck, Olsen & Devore ). 1) Press STAT - > - > and scroll down to “5.” Press ENTER to get the one-sample HT for proportions (‘1- PropZTest’). 7

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2) Now input p 0 (the hypothesized proportion, x (the number of successes in the n trials), n (the number of trials ), and then choose the appropriate form of ( 0 : p p H a , 0 : p p H a , or 0 : p p H a ) using your arrow keys. After doing that, put the cursor on ‘Calculate’ and press ENTER . You will get the form of the alternative hypothesis, the test statistic z = z c , the p -value (what the TI calls p), and the sample proportion , and n . Then if you do step #1 again, scroll down to the bottom, choose ‘Draw’ and press ENTER , you will get the value of z = z c and a picture of the p- value. 8
HT for the Population Proportion,  (what the TI calls p ) , based on the sample proportion p = x / n (what the TI calls = x / n ). Provided the appropriate conditions hold. This is written for the Peck , Olsen and Devore notation. 1) Press STAT - > - > and scroll down to “5.” Press ENTER to get the one-sample HT for proportions (‘1- PropZTest’).

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