1. What are the contributions in this paper?
In this paper, the authors proposed a method to solve the problem of the problem: 1.18.
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2. What is the rule of inference by intervals?
According to the rules of inference by intervals, if the interval (confidence, credibility, or 882 likelihood9) is contained within the null region, then the null region hypothesis can be accepted.
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3. how many trials are required before stopping?
914915As for Bayes factors, ensuring a minimum number of trials has occurred before stopping 920 improves error rates for inference by intervals.
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4. How many participants are allowed to stop when the null region is a point null?
If the maximum number of 890 participants before stopping (MaxN) is 100 and the null region is NR[0,0] (i.e. a point null is used and 891 so the method is significance testing), then H1 is accepted 36% of the time when H0 is true (using 892 the same experimental set up as in Table 1).
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![Table 4 Decision rates for accepting/rejecting H0 for NR[-0.1, 0.1] MaxN = 1000 MinN = 1 916](/figures/table-4-decision-rates-for-accepting-rejecting-h0-for-nr-0-1-6s31mrnf.png)
![Table 5 Decision rates for accepting/rejecting H0 for NR[-0.1, 0.1] MaxN = 1000 MinN = 10 925](/figures/table-5-decision-rates-for-accepting-rejecting-h0-for-nr-0-1-2m86v5iv.png)
![Table 3 Decision rates for accepting/rejecting H0 for NR[-0.1, 0.1] MaxN = 100 MinN = 1 903](/figures/table-3-decision-rates-for-accepting-rejecting-h0-for-nr-0-1-19mmjjhp.png)