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**Unformatted text preview: **5. The VI tscore_err.vi computes the Student’s t—score for two sets of sampled data. The t—score of trip
sets of data indicates whether there is signiﬁcant difference between the means of the two sets. These
two sets of data can be dependent or independent of each other. The steps to compute the t—score are
the following: a. Compute the means of the two data sets, calling them 2,, and it, (we have used the i symbol to
indicate that we are taking the mean of a sample, which says that the data at hand are part of a
larger data which is the most practical case]. b. Compute the sum of the squares of the error for the two sets of data, calling them SSEa and SSEh. c. Determine the sample variance using the formula 2 = SSEa + SSEh
(na - 1) + {nb - 1)
where n is the number of samples for each data set. d. Determine the standard deviation of the sampling distribution of the samplemean differences using 5 the formula
52 52
cr = — + —
1'13 nb
e. The t—score is then computed as
liar _ ibl t: 5
Using LabVlEW’s debugging tools, troubleshoot the VI which should give the correct t-score for the
following set of fifteen data: Data set A: 26, 26,26, 21,18,21,19,25, 23, 29, 22, 22,24, 23, 22 Data set E: 18, 20, 2D, 26, 17, 23, 20,16, 21, 18, 21, 29, 20, 25, 19 mmmwwiuﬁmmudp
=>§>DII Vﬁhula‘u: wwmh h>— Slandald Dariaﬁun Sample Variam
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$430" Emma-uh :gv :ﬁ:v ﬂv @v "Saalch Q i)’ 7 I " as " 1s 25 z; 25 21) 21 25 1a 17 21 z; 1‘) 21) 25 15 z; 21 z: 13 a 21 22 m 24 211 z; z 22 13 ...

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- Summer '17
- Signal Processing