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TI-Nspire CX II field manual for IB Math

AI HL only · 42 of 45

42

One-sample t-test from data

AI HL

Enter raw data into a list and run a one-sample t-test on it, letting the calculator find xˉ and sx before reading t and the p-value.

Goal

Test H0:μ=12 against Ha:μ<12 using the sample 11.6,  12.3,  11.4,  11.9,  12.1,  11.2,  11.8,  11.5,  12.0,  11.7.

1

Open a Lists & Spreadsheet page, name the first column data, and enter the values.

*Document
RAD
AdataBCD=111.6212.3311.4411.9512.1A1
2

Still on the Lists & Spreadsheet page, press StatisticsStat Tests2: t Test. Set Data Input Method to Data. If you only had summary statistics, you would choose Stats here and type them in instead.

3

Fill in the dialog, moving between fields with : μ0: 12, set List to the named column data, leave Frequency List: 1, and set Alternate Hyp to Ha:μ<μ0. The Nspire computes xˉ and sx from the list itself.

*Document
RAD
t Test
μ0:12
List:data
Frequency List:1
Alternate Hyp:Ha: μ < μ0
1st Result Columnc[]
OKCancel
4

Select OK and press . The result labels and values paste straight into the spreadsheet.

Result

t−2.34 and p0.0219, so at the 5% level there is sufficient evidence to reject H0.

*Document
RAD
tTest 12,data,1.,−1:stat.results
”Title””Alternate Hyp””t””PVal””df””x̄””sx := sn-1x””n””t Test””μ < μ0”−2.342610.02191649.11.750.33747410.

Your turn

Work each one on your calculator, then check the answer.

  1. 1

    Test H0:μ=30 against Ha:μ<30 using the sample 29.6,  28.9,  30.4,  28.4,  30.1,  29.3,  30.2,  28.6, at the 5% level.

  2. 2

    Test H0:μ=8 against Ha:μ<8 using the sample 7.9,  8.2,  7.6,  8.0,  7.7,  8.1,  7.5,  7.8,  8.3,  7.6,  7.9,  7.7, at the 5% level.

  3. 3

    Test H0:μ=120 against Ha:μ<120 using the sample 118,  122,  116,  119,  117,  123,  118,  115,  121,  117, at the 5% level.