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The Electronic Protocol Book Table of contents
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BioToolKit 300 Download Trials
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     An electronic protocol book with 500 protocols and
100 recipes. A great quick and practical reference for bench scientists
as well as for new students.
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     A collection of tools frequently used by bench biomedical scientists, ranging from centrifugation
force conversion, molecular weight, OD, recipe calculators, to clinical calculators. Include all Primo 3.4, Abie 3.0, Heatmap Viewer, MicroHelper, Godlist Manager, label printing, and grade book.
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t-test
t-test is frequently used to test differences in means for two datasets.
Independent data set
A clinical trial tests for the effect of a cholesterol lowering drug gives
the following results:
placebo drug
200 205
215 220
225 220
230 225
210 220
210 205
200 205
220 195
200
195
190
H0 The null hypothesis: the mean cholesterol level for the drug-treated group = mean cholesterol level for
the placebo group.
Ha The alternative hypothesis:
the mean cholesterol level for the drug-treated group < mean cholesterol level for
the placebo group.
Using one-tailed t-test for independent samples,
we find p = 0.12. The null hypothesis cannot be rejected in favor of the alternative hypothesis, i.e., the drug is not effective.
Dependent data set (paired)
A clinical trial tests for the effect of a cholesterol lowering drug gives
the following results:
Before After
treatment treatment
200 205
215 220
225 220
230 225
210 220
210 205
200 205
220 195
195 200
205 195
200 190
H0 The null hypothesis: the mean cholesterol level is the same after drug treatment.
Ha The alternative hypothesis: the mean cholesterol level is lower after drug treatment.
Using one-tailed t-test for dependent (paired) samples,
we find p = 0.20. The null hypothesis cannot be rejected in favor of the alternative hypothesis, i.e., the drug is not effective.

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