8.88 Organic certified coffee. Coffee markets that conform to organic standards focus on the environmental aspect of cof- fee growing, such as the use of shade trees and a reduced reliance on chemical pesticides. A study of organic coffee growers was published in Food Policy (Vol. 36, 2010). In a representative sample of 845 coffee growers from southern Mexico, 417 growers were certified to sell to organic cof- fee markets while 77 growers were transitioning to become organic certified. In the United States, 60% of the coffee growers are organic certified. Is there evidence to indicate that fewer than 60% of the coffee growers in southern Mexico are either organic certified or transitioning to be- come certified? State your conclusion so that there is only a 5% chance of making a Type I error.

In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results.   Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001   Average Bonus -0.0007216 0.0001481 -4,87 0.000       The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is     βTI ≠ 0…

In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results.   Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001   Average Bonus -0.0007216 0.0001481 -4,87 0.000     At alpha = 0.01, we can conclude that   I. Trust Index is a significant independent variable in explaining turnover rate.…

2) The federal guideline for smog is 12% pollutants per 10,000 volume of air. A metropolitan city is trying to bring its smog level into federal guidelines. The city comes up with a new policy where city employees are to use city transportation to and from work. A local environmental group does not think the city is doing enough, and that the pollution percentage is greater than 12%. An independent agency hired by the city to run a test used a random sample size of 250 and found the pollutants at 15%. Test an appropriate hypothesis and state your conclusion. Be sure the appropriate assumptions and conditions are satisfied before you proceed.

Which of the following best describes what a meta-analysis is. A) Human subjects are chosen and randomized into either an experimental group or a control group.   B) An analysis that combines/summarizes the results of several separate but similar studies in order to evaluate results from the combined data.   C) A study that is typically performed on animals to understand how chemical components affect our diet and health

1. A firm of architects is attempting to get a feel for the sizes of houses in Colton's suburb in the city of Baycoast because it has been commissioned to design a house in Colton. Using their contacts at Baycoast City Real Estate Agents, the architects are provided with information on a sample of 13 houses. Compute the mode, median, and mean for the number of bedrooms. Calculate the mean, median, and the modal number of bathrooms, and the number of all rooms. Interpret the results. House no. Suburb Bedrooms Bathrooms All rooms 110 Colton 2 1 112 Colton 2 1.5 108 Colton 2 1 117 Colton 2 1.5 100 Colton 2 1 89 Colton 2 96 Colton 3 1.5 94 Colton 3 1 7 93 Colton 3 1.5 113 Colton 3 15 102 Colton 3 1.5 7 Colton 4 8 115 Colton 5 2 Ln O 5

Which of the following individuals is likely to be excluded from a clinical trial? a) an individual with other diseases besides the disease of interest b) an individual who's data is considered to be an outlier c) an individual who is considered to be a minority d) an individual who will have difficulty complying with trial protocols

Suppose an observational study is said to be a case-control study.  Which of the following is true?  (1 answer) A.) The study observes facts from the present, or over a very short period of time. B.)The study attempts to control different levels of a variable, called factors, comparing results to a control group. C.) The study observes facts from the past, or accesses previous records. D.) The study observes characteristics of individuals over a long period of time, perhaps not concluding until many years from now.

18. Which ANOVA? State whether each of the following is an example of a between-subjects, mixed, or within-subjects two-way ANOVA design. a. A psychologist administers a small, medium, or large dose of a drug to a sample of mice and measures reward seeking behavior across three experimental trials. Factor A: Factor B: b. An industrial organizational psychologist measures GPA among men and women graduate students with low, medium, or high leadership potential. Factor A: Factor B: c. A behavioral psychologist asks the same group of participants to rate the effectiveness of each of three marketing commercials for each of two products. Factor A: Factor B:

5. A large security-system management company with clients in Los Angeles and San Francisco installs and monitors secu- rity systems in houses and on business premises. The system's alarm sounds at the central monitoring location if the system detects a security break-in, smoke, or fire at any of the clients' premises. Tests have indicated that 3 percent of clients have a false alarm, meaning the alarm sounds when there is no incident, and that in approximately 0.5 percent of actual incidences, the system fails to sound an alarm. The records indicate that about 0.1 percent of clients have break-in/fire/smoke incidents. (a) Suppose a client is selected at random. What is the probability that the alarm will sound at this client's premises? (b) Suppose the alarm is sounded at a client's premises. What is the probability that there is no break-in, smoke, or fire inci- dent? ELE