A hospital tests $H_0:p=0.15$ against $H_a:p>0.15$ for readmission proportion. The p-value is $0.021$ and $\alpha =0.05$. What decision follows?

A bakery tests $H_0:\mu =500$ against $H_a:\mu \ne 500$ for mean loaf mass in grams. The p-value is $0.18$ and $\alpha =0.05$. What decision follows?

A school tests $H_0:\mu =35$ against $H_a:\mu <35$ for mean bus commute in minutes. The p-value is $0.004$ and $\alpha =0.01$. What decision follows?

A website tests $H_0:p=0.40$ against $H_a:p\ne 0.40$ for click proportion. The p-value is $0.063$ and $\alpha =0.05$. What decision follows?

A clinic tests $H_0:\mu =12$ against $H_a:\mu >12$ for mean wait time in minutes. The p-value is $0.049$ and $\alpha =0.05$. What decision follows?

A farm tests $H_0:p=0.80$ against $H_a:p<0.80$ for seed germination proportion. The p-value is $0.12$ and $\alpha =0.10$. What decision follows?

A factory tests $H_0:p=0.02$ against $H_a:p>0.02$ for defect proportion. The p-value is $0.008$ and $\alpha =0.01$. What decision follows?

A city tests $H_0:\mu =25$ against $H_a:\mu \ne 25$ for mean nitrate concentration in mg/L. The p-value is $0.031$ and $\alpha =0.02$. What decision follows?

A basketball team tests $H_0:p=0.70$ against $H_a:p<0.70$ for free-throw proportion. The p-value is $0.074$ and $\alpha =0.10$. What decision follows?

An energy study tests $H_0:\mu =6$ against $H_a:\mu >6$ for mean daily use in kWh. The p-value is $0.051$ and $\alpha =0.05$. What decision follows?

An app survey tests $H_0:p=0.50$ against $H_a:p\ne 0.50$ for completion proportion. The p-value is $0.50$ and $\alpha =0.05$. What decision follows?

A greenhouse tests $H_0:\mu =22$ against $H_a:\mu \ne 22$ for mean temperature in °C. The p-value is $0.003$ and $\alpha =0.001$. What decision follows?

A delivery service tests $H_0:\mu =40$ against $H_a:\mu <40$ for mean delivery time in minutes. The p-value is $0.016$ and $\alpha =0.025$. What decision follows?

A water plant tests $H_0:p=0.05$ against $H_a:p>0.05$ for contamination proportion. The p-value is $0.040$ and $\alpha =0.01$. What decision follows?

A bottling line tests $H_0:\mu =500$ against $H_a:\mu \ne 500$ for mean fill in mL and gets p-value $0.032$. It rejects at $\alpha =0.05$. What about $\alpha =0.01$?

A poll tests $H_0:p=0.55$ against $H_a:p>0.55$ for support proportion and gets p-value $0.007$. It rejects at $\alpha =0.01$. What about $\alpha =0.05$?

A sleep study tests $H_0:\mu =7$ against $H_a:\mu <7$ for mean sleep hours and gets p-value $0.081$. It rejects at $\alpha =0.10$. What about $\alpha =0.05$?

A packaging test uses $H_0:\mu =250$ against $H_a:\mu \ne 250$ for mean bag mass in grams and gets p-value $0.14$. It fails at $\alpha =0.10$. What about $\alpha =0.05$?

A tutoring study tests $H_0:\mu =75$ against $H_a:\mu >75$ for mean exam score and gets p-value $0.049$. It rejects at $\alpha =0.05$. What about $\alpha =0.01$?

A compost study tests $H_0:p=0.30$ against $H_a:p\ne 0.30$ for participation proportion and gets p-value $0.012$. It rejects at $\alpha =0.05$. What about $\alpha =0.10$?

A cafeteria tests $H_0:p=0.60$ against $H_a:p<0.60$ for lunch-buying proportion and gets p-value $0.066$. It fails at $\alpha =0.05$. What about $\alpha =0.10$?

A lab tests $H_0:\mu =2.0$ against $H_a:\mu >2.0$ for mean iron content in mg and gets p-value $0.002$. It rejects at $\alpha =0.01$. What about $\alpha =0.001$?

A survey tests $H_0:p=0.25$ against $H_a:p\ne 0.25$ for club membership proportion and gets p-value $0.118$. It fails at $\alpha =0.05$. What about $\alpha =0.15$?

A bus company tests $H_0:\mu =15$ against $H_a:\mu \ne 15$ for mean route time in minutes and gets p-value $0.055$. It rejects at $\alpha =0.10$. What about $\alpha =0.05$?

A researcher tests $H_0:p=0.60$ against $H_a:p\ne 0.60$ for recycling proportion and reports significance at the 1 percent level. What must be true of the p-value?

A call center tests $H_0:\mu =50$ against $H_a:\mu >50$ for mean response time in seconds and reports no significance at the 5 percent level. What must be true of the p-value?

A factory tests $H_0:p=0.03$ against $H_a:p\ne 0.03$ for defect proportion and reports significance at the 10 percent level. What must be true of the p-value?

A lake study tests $H_0:\mu =8$ against $H_a:\mu <8$ for mean dissolved oxygen in mg/L and reports no significance at the 1 percent level. What must be true of the p-value?

A campaign tests $H_0:p=0.50$ against $H_a:p>0.50$ for voter support and reports significance at the 5 percent level. What must be true of the p-value?

A delivery study tests $H_0:\mu =30$ against $H_a:\mu \ne 30$ for mean delivery time in minutes and reports no significance at the 10 percent level. What must be true of the p-value?

A battery test uses $H_0:\mu =40$ against $H_a:\mu \ne 40$ for mean life in hours. The p-value is $0.47$ and $\alpha =0.05$. How should the outcome be worded?

A nutrition study tests $H_0:\mu =180$ against $H_a:\mu >180$ for mean sodium in mg. The p-value is $0.018$ and $\alpha =0.05$. How should the outcome be worded?

A rail agency tests $H_0:p=0.20$ against $H_a:p>0.20$ for late-train proportion. The p-value is $0.09$ and $\alpha =0.10$. How should the outcome be worded?

A plant study tests $H_0:\mu =18$ against $H_a:\mu <18$ for mean height in cm. The p-value is $0.22$ and $\alpha =0.05$. How should the outcome be worded?

A medicine study tests $H_0:p=0.12$ against $H_a:p\ne 0.12$ for side-effect proportion. The p-value is $0.004$ and $\alpha =0.01$. How should the outcome be worded?

A filling machine tests $H_0:\mu =1000$ against $H_a:\mu \ne 1000$ for mean fill in mL. The p-value is $0.051$ and $\alpha =0.05$. How should the outcome be worded?

A botanist tests $H_0:p=0.30$ against $H_a:p>0.30$ for seed germination. The test rejects at $\alpha =0.10$ but fails at $\alpha =0.05$. Where is the p-value?

A clinic tests $H_0:\mu =5$ against $H_a:\mu <5$ for mean recovery days. The test rejects at $\alpha =0.05$ but fails at $\alpha =0.01$. Where is the p-value?

A store tests $H_0:p=0.40$ against $H_a:p\ne 0.40$ for coupon use. The test fails at $\alpha =0.10$ but rejects at $\alpha =0.20$. Where is the p-value?

A sensor test uses $H_0:\mu =2.5$ against $H_a:\mu >2.5$ for mean error in cm. The test rejects at $\alpha =0.01$ but fails at $\alpha =0.001$. Where is the p-value?