E(E E(Ytj – Ý;,)?) = (nr – r)o² 2 (nT – r)o?

Herbal cancer A report in the New England Journal of Medicine notes growing evidence that the herb Aris-tolochia fangchi can cause urinary tract cancer in those who take it. Suppose you are asked to design an experi-ment to study this claim. Imagine that you have data on urinary tract cancers in subjects who have used thisherb and similar subjects who have not used it and thatyou can measure incidences of cancer and precancerouslesions in these subjects. State the null and alternativehypotheses you would use in your study.

Can you help me with the code for this in R please?   2. The article ["CSI Effect Has Juries Wanting More Evidence" (USA Today, 2004)](https://usatoday30.usatoday.com/news/nation/2004-08-05-csi-effect_x.htm) examines how the popularity of crime-scene investigation television shows in influencing jurors' expectation of what evidence should be produced at a trial. In a survey of 500 potential jurors, one study found that 350 were regular watchers of at least one crime-scene forensics television series.       i) Assuming that it is reasonable to regard this sample of 500 potential jurors as representative of potential jurors in the US, use the given information to construct and interpret a 95\% confidence interval for the proportion of all potential jurors who regularly watch at least one crime-scene investigation series.          ii) Using the same sample proportion as part (i), construct a 95\% confidence interval for same proportion but instead use a sample size of 50.           iii)…

just the p value thank you

How do I tell if I have a one-sample t-test or an indepenent-samples t-test in the following situation? I have a group that has received a financial benefit and were chosen to rate their happiness after receiving that benefit. However, all members, those in the sample and those in the total group received the same beneifit. Do I have two groups and need an independent samples t-test or do I have one group measured against the mean?

Explain why it can be dangerous to use the least-squares line to obtain predictions for x values that are substantially larger or smaller than those contained in the sample. The least-squares line is based on the x values ---Select--- ✓the sample. We do not know that the same linear relationship will apply for x values ---Select--- the range of values in the sample. Therefore the least-squares line should not be used for x values ---Select--- the range of values in the sample.

What kind of independent variable (active or attribute) is necessary to infer cause?