Wildlife biologists inspect 153 deer taken by hunters and find 32 of them carrying ticks that test positive for Lyme disease.

What concerns do you have about this sample?

Wildlife biologists inspect 153 deer taken by hunters and find 32 of them carrying ticks that test positive for Lyme disease. a) Create a 90% confidence interval for the percentage of deer that may carry such ticks. b) If the scientists want to cut the margin of error in half, how many deer must they inspect? c) What concerns do you have about this sample?

Wildlife biologists inspect 153 deer taken by hunters and find 32 of them carrying ticks that test positive for Lyme disease. Create a 90% confidence interval for the percentage of deer that may carry such ticks.

A TV newscaster reports the results of a poll of voters, and then says, “The margin of error is plus or minus 4%.” Explain carefully what that means.

The seller of a loaded die claims that it will favor the outcome 6. We don't believe that claim, and roll the die 200 times to test an appropriate hypothesis. Our P-value turns out to be 0.03. Which conclusion is appropriate? Explain. There's a 97% chance that the die is fair.

The seller of a loaded die claims that it will favor the outcome 6. We don't believe that claim, and roll the die 200 times to test an appropriate hypothesis. Our P-value turns out to be 0.03. Which conclusion is appropriate? Explain. There's a 3% chance that the die is fair.

Wildlife biologists inspect 153 deer taken by hunters and find 32 of them carrying ticks that test positive for Lyme disease.

If the scientists want to cut the margin of error in half how many deer must they inspect?

Wildlife biologists inspect 153 deer taken by hunters and find 32 of them carrying ticks that test positive for Lyme disease. $\newline$ If the scientists want to cut the margin of error in half, how many deer must they inspect?

A city ballot includes a local initiative that would legalize gambling. The issue is hotly contested, and two groups decide to conduct polls to predict the outcome. The local newspaper finds that 53% of 1200 randomly selected voters plan to vote "yes," while a college Statistics class finds 54% of 450 randomly selected voters in support. Both groups will create 95% confidence intervals.

Which group concludes that the outcome is too close to call? Why?

Several factors are involved in the creation of a confidence interval. Among them are the sample size, the level of confidence, and the margin of error. Which statements are true?

For a fixed margin of error, larger samples provide greater confidence

One kind of scale for weighing trucks can measure their weight as they drive across a plate. Weights are in 1000s of pounds.

$$\begin{array}{|c|c|c|} \hline \text { Weight-in-Motion } & \text { Static Weight } & \text { Diff (Static - Motion) } \\ \hline 26.0 & 27.9 & -1.9 \\ 29.9 & 29.1 & 0.8 \\ 39.5 & 38.0 & 1.5 \\ 25.1 & 27.0 & -1.9 \\ 31.6 & 30.3 & 1.3 \\ 36.2 & 34.5 & 1.7 \\ 25.1 & 27.8 & -2.7 \\ 31.0 & 29.6 & 1.4 \\ 35.6 & 33.1 & 2.5 \\ 40.2 & 35.5 & 4.7 \\ \hline \end{array}$$

Find a $98\%$ confidence interval of the weight differences. Interpret this interval in context.

Several factors are involved in the creation of a confidence interval. Among them are the sample size, the level of confidence, and the margin of error. Which statements are true?

For a fixed margin of error, smaller samples will me an lower confidence.

One kind of scale for weighing trucks can measure their weight as they drive across a plate. Is this method consistent with the traditional method of static weighing? Are the conditions for matched pairs inference satisfied? Weights are in 1000s of pounds.

$$\begin{array}{|c|c|c|} \hline \text { Weight-in-Motion } & \text { Static Weight } & \text { Diff (Static - Motion) } \\ \hline 26.0 & 27.9 & -1.9 \\ 29.9 & 29.1 & 0.8 \\ 39.5 & 38.0 & 1.5 \\ 25.1 & 27.0 & -1.9 \\ 31.6 & 30.3 & 1.3 \\ 36.2 & 34.5 & 1.7 \\ 25.1 & 27.8 & -2.7 \\ 31.0 & 29.6 & 1.4 \\ 35.6 & 33.1 & 2.5 \\ 40.2 & 35.5 & 4.7 \\ \hline \end{array}$$

Pew Research, in November 2011, polled a random sample of 799 U.S. teens about Internet use. 49% of those teens reported that they had misrepresented their age online to gain access to websites and online services. Find that margin of error.