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Canada has unveiled a new artificial intelligence strategy. This plan aims to create 250,000 jobs by 2031. A new C$500 million tech fund will support homegrown AI firms. The government expects this strategy to boost the country's GDP by 3%. This initiative will also help small and medium-sized businesses access AI tools. New consumer privacy legislation is also planned. View the full article
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CrowdStrike shares dropped significantly on Thursday. This happened after the company's financial outlook did not meet high investor hopes. Demand for cybersecurity software remains strong, boosted by new AI models. Analysts suggest some investors may have taken profits after a recent surge in CrowdStrike's stock price. Other cybersecurity firms also saw their stock values fluctuate. View the full article
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SuriBabu
Lean Six Sigma Black Belt1Points9Posts
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Showing content with the highest reputation on 04/08/2014 in Posts
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1 pointDear Surabhi, If your data is discrete, you can use below formula to arrive at right sampling for review. n = [ (z2 * p * q ) + ME2 ] / [ ME2 + z2 * p * q / N ] Z = 1.96 (for 95% confidence level) p = proportion defective q = 1-proportion defective ME = Margin of error that you can accept in your sample N = Population n= Sample For example, Your team has processed 1000 works with 95% of accuracy as you specified. You are willing to accept 1% margin of error in your sampling. Then calculation would be, n= (Square of 1.96 * 0.05*0.95+0.0001)/(0.0001+square of 1.96*0.05*0.95/1000) n = 0.182576/0.000282 n= 646 Reviewer has to audit 646 works out of 1000 works done. There are many articles available on sample calculations. I suggest you to go through those for better understanding. Hope this helps. Regards, Suri1 point
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