Weber's law, a concept taught in most Introduction to Psychology courses, states that the ratio of the intensity of a stimulus to the "just noticeable" increment in intensity is constant, that is, the ratio doesn't depend on the intensity of the stimulus. The ratio is called the "Weber fraction," so a concise statement of Weber's law is that "the Weber fraction is constant, regardless of the stimulus intensity." It turns out that Weber's law is not so much a law as it is a rule of thumb, since it is violated in many situations. For instance, for some auditory stimuli, the Weber fraction does depend systematically on the stimulus intensity. The following bivariate data are the experimental data obtained for one listener in an auditory intensity discrimination task. For each of the ten stimulus intensities x (in decibels), the Weber fraction y (in decibels) is shown. Figure 1 is a scatter plot of the data. Also given is the product of the stimulus intensity and the Weber fraction for each of the ten stimuli. (These products, written in the column labelled "xy", may aid in calculations.) Stimulus Weber intensity, x fraction, y (in decibels) ху (in decibels) 35 -0.62 -21.7 40 -0.44 -17.6 45 -1.42 -63.9 50 -0.9 -45 55 -2.15 -118.25 60 -2.91 -174.6 65 -2.93 -190.45 70 -2.9 -203 Stimulus intensity (in decibels) 75 -4.12 -309 80 -4.25 -340 Figure 1 Send data to calculator What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least four decimal places. (If necessary, consult a list of formulas.) Weber fraction (in deabels)

Normal text Calibri BIUA 10 2 |II 3 I. 4 1) Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (Number of air conditioning units sold). 68 4 72 78 8 81 10 84 14 86 15 89 21 91 20 93 22 94 25 Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted. a) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning…

How to Compute t and p for the difference between means?

We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which the body consumes energy. Mass 46 47.7 47.7 38.8 52.1 48.8 48.5 36.8 42 51 43.9 46.7 Rate 1240 1320 1220 1280 1430 1090 1590 990 1090 960 1520 1390| Find the least-squares regression line for predicting metabolic rate from body mass. ANSWER: ŷ

Researchers at a university designed and tested a​ speed-training program for junior varsity and varsity high school football players. Each in a sample of 38 high school athletes was timed in a​ 40-yard sprint prior to the start of the training program and timed again after completing the program. The decreases in times​ (measured in seconds) are listed in the accompanying table.​ [Note: A negative decrease implies that the​ athlete's time after completion of the program was higher than his time prior to​ training.] The goal of the research is to demonstrate that the training program is effective in improving​ 40-yard sprint times Find a 90​% confidence interval for the true mean decrease in sprint times for the population of all football players who participate in the speed-training program. (Round to three decimal places as​ needed.)

From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than $ 370 but not more than $ 400. (b) whose wages are less than $ 370 but not less than $ 350. Wages not exceeding $ 300 =150 workers Wages not exceeding $ 350 = 180 workers Wages not exxceeding $ 400 = 240 workers Wages not exceeding $ 450 = 400 workers Wages not exceeding $ 500 = 500 workers

To compute a student's Grade Point Average (GPA) for a term, the student's grades for each course are weighted by the number of credits for the course. Suppose a student had these grades:4.0 in a 5 credit Math course2.1 in a 2 credit Music course2.5 in a 5 credit Chemistry course3.3 in a 6 credit Journalism courseWhat is the student's GPA for that term? Round to two decimal places. Student's GPA =

For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding.In a combined study of northern pike, cutthroat trout, rainbow trout, and lake trout, it was found that 20out of 860fish died when caught and released using barbless hooks on flies or lures. All hooks were removed from the fish.   (a) Let prepresent the proportion of all pike and trout that die (i.e., pis the mortality rate) when caught and released using barbless hooks. Find a point estimate for p. (Round your answer to four decimal places.)(b) Find a 99% confidence interval for p. (Round your answers to three decimal places.) lower limit       upper limit