
1.
A career analyst believes that the mean salary for plumbers has risen from the current mean of $75,000. To test their hypothesis, a simple random sample of plumbers is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.035. Make a valid conclusion based on this pvalue.

2.
A school district believes that the mean number of students who fail their calculus course each year has risen from the current mean of 4 students. To test their hypothesis, a simple random sample of students is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.043. Based on this pvalue, what conclusion can be made?

3.
A soccer coach believes that the mean number of goals his team scores in a game has risen from the current mean of 2 goals. To test the hypothesis, a simple random sample of games is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.125. What conclusion can be made based on this pvalue?

4.
A bakery believes that the mean number of pastry sales per day has risen from the current mean of 120 pastries. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.233. Given this pvalue, make a valid conclusion for this scenario.

5.
A fisherman believes that since he started using a new type of bait, the mean number of fish he catches every day has risen from the current mean of 25 fish. To test the hypothesis, a simple random sample of days is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.022. For this scenario, make a valid conclusion based on the generated pvalue.

6.
A career analyst believes that the mean salary for accountants has declined from the current mean of $85,000. To test their hypothesis, a simple random sample of accountants is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.063. Make a valid conclusion based on this pvalue.

7.
A school district believes that the mean number of students who pass their physics course each year has risen from the current mean of 90 students. To test their hypothesis, a simple random sample of students is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.012. Based on this pvalue, what conclusion can be made?

8.
A basketball coach believes that the mean number of three point shots his team makes in a game has risen from the current mean of 10 three point shots. To test the hypothesis, a simple random sample of games is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.358. What conclusion can be made based on this pvalue?

9.
A coffee shop believes that the mean number of cups of coffee sold per day has declined from the current mean of 250 cups of coffee. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.089. Given this pvalue, make a valid conclusion for this scenario.

10.
A mechanic believes that since he started using a new tool, the mean amount of time it takes him to complete a project has declined from the current mean of 30 minutes. To test the hypothesis, a simple random sample of projects is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.056. For this scenario, make a valid conclusion based on the generated pvalue.

11.
A career analyst believes that the mean salary for teachers has risen from the current mean of $56,000. To test their hypothesis, a simple random sample of teachers is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.072. Make a valid conclusion based on this pvalue.

12.
A school district believes that the mean number of students who pass the standardized exams each year has risen from the current mean of 325 students. To test their hypothesis, a simple random sample of students is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.015. Based on this pvalue, what conclusion can be made?

13.
A football coach believes that the mean number of games won in a season by his team has risen from the current mean of 4 wins. To test the hypothesis, a simple random sample of football seasons is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.180. What conclusion can be made based on this pvalue?

14.
A small pizzeria believes that the mean number of pizzas per day has risen from the current mean of 80 pizzas. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.064. Given this pvalue, make a valid conclusion for this scenario.

15.
A scuba diver believes that since he started using a new air tank, the mean number of minutes he can spend underwater per dive has risen from the current mean of 65 minutes. To test the hypothesis, a simple random sample of dives is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.055. For this scenario, make a valid conclusion based on the generated pvalue.

16.
A career analyst believes that the mean salary for welders has risen from the current mean of $90,000. To test their hypothesis, a simple random sample of welders is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.029. Make a valid conclusion based on this pvalue.

17.
A school district believes that the mean number of students who ride the bus to school each year has risen from the current mean of 370 students. To test their hypothesis, a simple random sample of students is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.421. Based on this pvalue, what conclusion can be made?

18.
A baseball coach believes that the mean number of home runs his team hits in a season has risen from the current mean of 34 home runs. To test the hypothesis, a simple random sample of baseball seasons is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.044. What conclusion can be made based on this pvalue?

19.
A sandwich shop believes that the mean number of sandwiches sold per day has risen from the current mean of 150 sandwiches. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.102. Given this pvalue, make a valid conclusion for this scenario.

20.
A farmer believes that since he started using a new type of fertilizer, the mean number of bushels of wheat he harvests per season has risen from the current mean of 200 bushels. To test the hypothesis, a simple random sample of growing seasons is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.031. For this scenario, make a valid conclusion based on the generated pvalue.

21.
A career analyst believes that the mean salary for doctors has risen from the current mean of $97,000. To test their hypothesis, a simple random sample of doctors is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.003. Make a valid conclusion based on this pvalue.

22.
A college believes that the mean number of students who enroll each year has declined from the current mean of 1500 students. To test their hypothesis, a simple random sample of years is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.068. Based on this pvalue, what conclusion can be made?

23.
A hockey coach believes that the mean number of goals his team scores in a game has risen from the current mean of 1 goal. To test the hypothesis, a simple random sample of games is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.095. What conclusion can be made based on this pvalue?

24.
A flower shop believes that the mean number of flowers sold per day has risen from the current mean of 75 flowers. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.209. Given this pvalue, make a valid conclusion for this scenario.

25.
A carpenter believes that since he started using a new tool, the mean number of minutes it takes him to complete a wood project has declined from the current mean of 120 minutes. To test the hypothesis, a simple random sample of wood projects is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.027. For this scenario, make a valid conclusion based on the generated pvalue.

26.
A career analyst believes that the mean salary for engineers has risen from the current mean of $81,000. To test their hypothesis, a simple random sample of engineers is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.047. Make a valid conclusion based on this pvalue.

27.
A university believes that the mean number of students who enroll with an undeclared major each year has risen from the current mean of 230 students. To test their hypothesis, a simple random sample of students is taken and a significance test is performed at the 5% level. The results generate a pvalue of 0.077. Based on this pvalue, what conclusion can be made?

28.
A track and field coach believes that the mean number of athletes on the team each season has risen from the current mean of 60 athletes. To test the hypothesis, a simple random sample of track and field seasons is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.143. What conclusion can be made based on this pvalue?

29.
A grocery store believes that the mean number of plastic bags used per day has risen from the current mean of 1200 bags. To test their hypothesis, a simple random sample of days is taken and a significance test is performed at the 10% level. The results generate a pvalue of 0.199. Given this pvalue, make a valid conclusion for this scenario.

30.
A movie theater believes that the mean number of popcorn bags sold per movie showing has risen from the current mean of 30 bags of popcorn. To test the hypothesis, a simple random sample of movie showings is taken and a significance test is performed at the 3% level. The results generate a pvalue of 0.309. For this scenario, make a valid conclusion based on the generated pvalue.