Roy’s Toys Company received a huge shipment of rubber duckies from a factory. The factory guaranteed Roy that the percentage of defective toys won’t exceed $1.5\%$, but Roy suspects it does. He took a random sample of $200$ duckies, and found that $3\%$ of them were defective. Let's test the hypothesis that **the actual percentage of defective duckies is $1.5\%$** versus the alternative that the actual percentage is *higher* than that. The table below sums up the results of $1000$ simulations, each simulating a sample of $200$ duckies, assuming there are $1.5\%$ defective duckies. **According to the simulations, what is the probability of getting a sample with $3\%$ defective duckies or more?** $\qquad$[[☃ input-number 1]] Let's agree that if the observed outcome has a probability *less* than $1\%$ under the tested hypothesis, we will reject the hypothesis. **What should we conclude regarding the hypothesis?** [[☃ radio 1]] Measured $\%$ of defective duckies| Frequency :-: | :-: $0$ | $54$ $0.5$ | $132$ $1$ | $225$ $1.5$ | $241$ $2$ | $162$ $2.5$ | $108$ $3$ | $50$ $3.5$ | $21$ $4$ | $4$ $4.5$ | $3$