(b) Use FTC to evaluate (x-x X-

Calculate the following

Denfine each of the following terms in the context of experimental design. a. Response variableb. Factorc. Levelsd. Treatments

Describe in your own words the YRBBS to someone who does not know the system. Specifically, explain:  What is it? Who owns it? Who can usethe system? Where does the data in it come from? From whom is the data collected?

For this exercise please refer to the downloaded Excel Workbook (See Excel Workbook Instructions) from the JB Learning website with your access code. Please upload your answers as an excel file with properly labeled answers. At the end of the chapter 5 workbook you will find Practice problems. Please answer in excel only under practice problems 5.4 questions: 1, 2, 3, 4, 5. If help is needed, tutorials are found in the workbook with relevant problems. Note: These pictures will give you an idea where it is in the workbook. You are responsible to use the workbook. #1. Total cholesterol in children aged 10­15 years is assumed to follow a normal distribution with a mean of 191 and a standard deviation of 22.4. what proportion of children 10­15 years of age hfave total cholesterol between 180­-190? What proportion of children 10-15 years would be classified as hyperlipidemia(assume that hyperlipidemia is defined as a total cholesterol level over 200)? What is the 90th percentile of total…

A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s)       Annual Revenue ($ millions)11.5                   118 10.0                   135 9.0                     100 5.5                     37 3.3                     32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA   df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677     Total 4 8925.2           Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…

[PERT] start 9 O 30 months, 20 months O 32 months, 20 months O 33 months, 17 months O 30 months, 17 months 8 00 O 32 months, 17 months TIME 2 5 10 3 McDonalds is trying to develop a new pumpkin-spice hamburger for the Fall season. The above PERT chart shows the different tasks they need to complete from ideation (A) to commercialization (H), the lengths each will take in months, and the dependencies between tasks. How long is the critical path according to the PERT chart? How long is the shortest path according to the PERT chart? 3 end H

Take a moment to address the following scenario. Imagine that two women of similar sociocultural back-grounds, a 21-year-old and a 60-year-old, both express their desired goals as “I want to lose 20 pounds [9 kg] in the next three months.” What thoughts come to mind? What questions would you want to ask of each woman? What motiva-tions might you assume? The one variable presented here is age. What are the assumptions you have about age and weight loss? Our assumptions are that given the aging process and the phases of human development, weight loss might mean different things to these two women. These meanings, along with the women’s personalities, will color their engagement in and approach to coach-ing as they seek to achieve the same goal. REFLECTION 4.12 Lin has learned so many things through coaching. She is now at a place where she has met her initial goals and seems on her way to pursuing her dreams. Take a moment and reflect on her process. What is the trajectory that she…