The prevalence of a disease in the general population is 0.2%. A diagnostic test is developed that correctly predicts the disease state of a sick person 90% of the time and of a healthy person 95% of the time. a. Draw the Venn diagram for the problem and indicate the number of people out of 10,000 people total that fall into the diagram's four bins. The bins should be defined by disease state (D+/D-) and test result (T/T) where + indicates you have the disease and indicates that you do not. b. What is the probability that a person with a positive test result actually has the disease? c. What is the probability that a person with a negative test result does not have the disease? d. Does the test have practical value for detecting people with the disease and why?

The whole data set will be in the two pictures

write your answers clearly in 12-pt blue font on the line underneath the problem like this. The following table includes two variables: sleep duration in hours and number of driving errors for 10 different truck drivers. Use the data set to answer the following questions. Sleep Duration (Hours) Driving Errors 0 21 1 19 2 15 3 15 4 14 5 12 6 9 7 7 8 4 9 10 11 5 2 1. Create a scatterplot of sleep duration (x) versus errors (y). Copy and paste the scatterplot as your answer. 2. Fit a linear regression model to sleep duration and driving errors. Copy and paste the Model Summary, ANOVA, and Coefficients table as your answer. 3. What is the value of the correlation coefficient between sleep duration and driving errors? 4. Is the regression analysis statistically significant? What is the test statistic, degrees of freedom, and p-value that supports your answer? 5. State the regression equation. 6. We are 95% confident that the true population slope parameter will fall between which two…

3. The number of goals scored by Wayne Gretzky was recorded for seasons 1978 – 1999. (Please note the data set has been ordered from smallest to the largest for your convenience). 5, 9, 11, 16, 23, 23, 31, 38, 40, 40, 41, 46, 51, 52, 54, 55, 62, 71, 73, 87, 92 A. Construct a stem-and-leaf display for the data and describe the shape of the distribution (symmetric, skewed left, skewed right, bell-shaped, etc., any obvious outliers). B. What is the fraction of the data that is less than or equal to 31? C. Given that Ex, = 920 and Ex = 52 436 find the mean and standard deviation. D. Find the (i) median, (ii) Q1, (iii)Q:, (iv) the interquartile range (IQR), (v) the lower and upper fences. E. Construct a Box-plot for the data. What are your conclusions about the shape of the distribution? Compare with the results in Part A. F. Would the mean or the median be the most suitable measure to use to represent the central location of this distribution? Give reasons for your answer.

State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association

4. Relationship between height and shoe length To generate the data in Table 4, showing the relationship between height and shoe length determine this relationship between height and shoe length, the height in meter (two decimal place) and shoe length also in meter (three decimal place), of six individuals in a group, was measured and entered in the appropriate column. Assignment From the data given in the Table 4, draw a bar graph on Excel, the height in on the x- axis and the shoe length in the y- axis, showing the relationship between height and shoe length. Looking at the trend on the graph, discuss whether there is a direct relationship between height and shoe length in this experiment. Copy the graph on the Excel and paste it on this file. Table 4. Height and shoe length measurement data Height (meter) Shoe Length (meter) Person 0.252 1. 0.300 2. 3. 4. 1.85 0.305 1.58 0.256 5. 0.285 9. MacBoo

Suppose you as a researcher have collected data on wages, education, experiences and gender. In addition, you also asked the information on whether the respondent graduated from local or overseas university. Write a model that would allow you to test whether graduates from overseas university has different effect on wages between male and female. Describe the proxies and unit of measurement you use for the variables in the model.

Classify each of the following data types as qualitative or quantitative. 1. Types of animals used as NFL football team mascots 2. Weight of kindergarten students 3. Height of sycamore trees 4. Dollars earned by actor 5. Colors people use to paint their houses

The class I'm taking is statistics! I am completely stuck. Need help. I have attached the problem. Please view attachment before answering. I need help with part B. Thank you!

A data set contains the observations 7, 4, 2, 3, 1. Findx J2.