Find the range and IQR of the data.

A study in Sweden looked at former elite soccer players, people who had played soccer but not at the elite level, and people of the same age who did not play soccer. Here is a two-way table that classifies these individuals by whether or not they had arthritis of the hip or knee by their mid-fifties:

$$\begin{gathered} \text{Soccer level} \\ \begin{array}{llccc}& & \text{ Ellte }& \text{ Non-elite }& \text{ Did not play }\\ \text{ Whether person }& \text{ Yes }& 10& 9& 24\\ \text{ developed arthritis }& \text{ No }& 61& 206& 548\end{array} \end{gathered}$$

What percent of the elite soccer players developed arthritis? What percent of those who got arthritis were elite soccer players?

The lengths of the products produced in a production process are controlled. The standard deviation is 0.45 mm. A quality control specialist keeps checking over 40 units randomly every morning. Average length in one day 35.62mm. when it happens. Which of the following is the confidence interval for the mean population mean at ${\displaystyle 95\mathrm{\%}}$ confidence level?
A) ${\displaystyle P\left(60<\mu <70\right)=0,95}$
B) ${\displaystyle P\left(30<\mu <40\right)=0,05}$
C) ${\displaystyle P\left(30<\mu <40\right)=0,95}$
D) ${\displaystyle P\left(60<\mu <70\right)=0,05}$
E) ${\displaystyle P\left(70<\mu <80\right)=0,95}$

How can I find the median of 25, 25, 25, 20?

Smoking and drinking coffee have a tendency to stain teeth. In an effort to determine the ability of chewing gum to remove stains on teeth, researchers conducted an experiment in which 64 bovine incisors (teeth) were stained with natural pigments such as coffee for 10 days. Each tooth was randomly assigned to one of four treatments: gum A, gum B, gum C, or saliva. Ea ch tooth group was placed into a device that simulated a human chewing gum. The temperature of the device was maintained at body temperature and the tooth was in the device for 20 minutes. The process was repeated six times (for a total of 120 minutes of chewing). The researcher conducting the experiment did not know which treatment was being applied to each experimental unit. Upon removing a tooth from the chewing apparatus, the color change was measured using a spectrophotometer. The percent age of stain removed by each treatment after 120 minutes is as follows: Gum A, 47.6%. Gum B, 45.2%, Gum C, 21.4%, Saliva, 2.1%. The researchers concluded that gums A and B removed significantly more stain than gum C or saliva. In addition, gum C removed significantly more stain than saliva. (a) Identify the research objective. (b) Is this an observational study or designed experiment? Why? (c) If observational, what type of observational study is this? If an experiment, what type of experimental design is this? (d) What is the response variable? (e) What is the explanatory variable? ls it qualitative or quantitative? (I) Identify the experimental units. (g) State a factor that could affect the value of the response variable that is fixed at a set level. (h) What is the conclusion of the study?

Do teachers find their work rewarding and satisfying? The article presents the results of a survey of 399 primary school teachers and 264 senior teachers. Of the elementary school teachers, 223 said they were very satisfied with their jobs, whereas 127 of the high school teachers were very satisfied with their work. Estimate the difference between the proportion of all elementary school teachers who are satisfied and all high school teachers who are satisfied by calculating a ${\displaystyle 95\mathrm{\%}CI.(\text{Use}{P}_{\text{elementary}}-P_{\text{high}}}$ school. Round your answers to four decimal places.)

An instructor wishes to see if the variance in scores of her 23 students in one class is less than the variance of the population, which is 225. The variance of the class is 198. Is there enough evidence to support the claim that the variation of the students is less than the population variance at alpha = 0.05?
A. The test is a ... test.
a. left
b. two tail
c. right
B. Determine the critical value.
C. Determine the test statistic, reporting to 2 decimal places.
D. Determine the p value, reporting to 4 decimal places.
E. Based on above, what is the decision?
a. Fail to reject the null hypothesis
b. Reject the null hypothesis

Which of the following is not a risk management process?
A. Perform Actuarial Risk Analysis.
B. Perform Qualitative Risk Analysis.
C. Perform Quantitative Risk Analysis.
D. Implement Risk Responses.