Fast or not? In 2009, Antiquity published isotope analy-ses of the human skeletal tissue excavated from 1957 to 1967 at Whithorn Cathedral Priory, Scotland. These analyses sought to use new isotope methods to test com-mon assumptions about the lifestyle and diet of the bish-ops and clerics compared to lay individuals buried at the same site.Specifically, Dr. Muldner (and others) tested an isotope that would indicate whether or not individu-als ate seafood regularly. It is believed that the bishops and priests had access to seafood for fast days and otherholy days, while the lay individuals did not. A highermeasurement of collagen (%) indicates more seafood in aperson’s diet. Here are the data:Is there statistically significant evidence of a highercollagen level among priests and bishops? Percent CollagenPriests/Bishops Lay Individuals9.6 6.17.3 8.18.1 5.67.5 5.37.8 5.29.8 3.59.8 5.8

In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data:     Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2   Calculate the risk difference per 100,000 per year. Round to the tenth decima

QUESTION 4 Public relation companies conducted two surveys about deodorants. The first survey asked a random sample of 500 men about their use of a natural deodorant. A second survey asked the same questions to a random sample of 550 women. In these two studies, 68% of men and 44% of women stated they were dissatisfied with the effectiveness of natural deodorants. Use these results to answer the following questions about the proportion of men and women's satisfaction with natural deodorants. (Round to the nearest whole person as needed). For the men, the number of successes within the sample is For the men, the number of failures within the sample is For the women, the number of successes within the sample is for the women, the number of failures within the sample is

Section 9.2 Question #8 Listed below are time intervals​ (min) between eruptions of a geyser. Assume that the​ "recent" times are within the past few​ years, the​ "past" times are from around 20 years​ ago, and that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Does it appear that the mean time interval has​ changed? Is the conclusion affected by whether the significance level is 0.10 or 0.01​? Recent   77   91   90   78   57   100   61   87   69   89   83   83   55   81   73   101   61       Past   90   89   93   94   64   85   85   92   88   91   89   91                 Let μ1 be the recent times and let μ2 be the past times. What are the null and alternative​ hypotheses?   A. H0​: μ1 = μ2     H1​: μ1 ≠ μ2 B. H0​: μ1 < μ2     H1​: μ1 = μ2 C. H0​: μ1 = μ2     H1​: μ1 > μ2 D. H0​: μ1 ≠ μ2…

QUESTION 4 Guinea pig survival times: Here are the survival times (in days) of 32 guinea pigs after they were injected with infectious bacteria in a medical experiment: 43 45 53 57 58 66 67 73 74 79 80 81 82 89 97 98 99 100 102 109 113 114 123 137 144 156 162 174 198 211 249 329 Compute the five-number summary of Guinea pig survival times (in days): Min (53); 1st Quartile (83.5); Median (108.5); 3rd Quartile (150.5); Max (339) Min (53); 1st Quartile (74); Median (98.5); 3rd Quartile (144); Max (339) Min (53) ; Mean (124.4); Median (98.5); standard deviation (63.27); Max (339) O Min (43); 1st Quartile (73.5); Median (98.5); 3rd Quartile (140.5); Max (329)

Question 2 A researcher was interested in studying if there is a significant relationship between the severity of COVID 19 and blood types of individuals. 2400 individuals were studied and the results are shown below.   Condition Blood Type Blood Type Blood Type Blood Type Blood Type O A B AB Total Critical 64.00 44 20 8 136 Severe 175.00 129 50 15 369 Moderate 211.00 528 151 125 1015 Mild 200.00 400 140 140 880 Total 650.00 1101 361 288 2400   State both the null and alternative hypotheses.  Provide the decision rule for making this decision. Use an alpha level of 5%.

Use the following scenario for questions 1-4: Dr. Wiese wants to determine whether duration of pregnancy and type of opiate use among pregnant women predict developmental delays in their children. In a sample of 30 new mothers, Dr. Wiese measured the duration of their pregnancies (premature, mature, postmature) and the type of opiate that they used during pregnancy (oxycodone, heroin). All participants' babies were then rated on how closely they have met developmental milestones on a scale ranging from 1-10.  1. Identify one of the independent variables. How many levels does this variable have? 2. Identify the other independent variable. How many levels does this variable have? 3. This study is a .............x ...................factorial design.

QUESTION 17 A set of X and Y scores are obtained from a sample of n = 36 individuals. A Pearson value of r = 0.50 is obtained for the relationship between the X and Y scores. What is the value for the standard error for r ( sr)?   a. sr = 0.09   b. sr = 0.15   c. sr = 0.02   d. sr = 0.07