The Moon Illusion refers, roughly speaking, to the common experience that the moon appears larger (and closer to us) whenit is near the horizon than when it is at its zenith. To investigate, we have designed an experiment in which participants mustadjust the diameter of a variable circular light placed at eye level to match the diameter of a fixed circular light placed wellabove eye level. (See, for example, Kaufman, L. & Rock, I. (1989), "The moon illusion thirty years later," chapter 8 in M.Hershenson (Ed.) The Moon Illusion, Hillsdale, NJ: L. Earlbaum.)We have tested 25 participants and recorded for each participant her experimental "adjustable/ fixed ratio." Our data aresummarized in the following histogram.Frequency108-6-4+2+00360.2090.400.60Adjustable/ fixed ratio4X0.8031Based on the histogram, find the proportion of adjustable/ fixed ratios in the sample that are greater than or equal to 0.20.Write your answer as a decimal, and do not round your answer.

Given histogram is,Total number of participants, n = 25Using formula,

Answered: The Moon Illusion refers, roughly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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II. Illustration: Illustrate the following scenario given. Use a separate sheet of paper. 1. Let say you are in your home to do one certain chore for a specific time frame (e.g. washing dishes, cooking rice, wash clothes, watering a garden, etc.). Draw a technical drawing on the floor layout of your kitchen sink performing the method and create a hand motion analysis with the following criteria: a. All the hand motions identified of such chosen method of chore. b. Corresponding therblig (name & symbol) of each identified motion. c. Description of each hand motion identified. 2. On the current events of the Covid vaccination (Resbakuna) process in 1t dose, 2nd dose, and/or booster, draw the current flow process chart you experienced, identify at least two (2) descriptions for each IE waste on Work Study from the facility where you took your shots, and what are your suggestion for methods improvement per IE waste identified. Suggestions for Improved Methods IE Waste Description
Question 1 Bouncy Ball Experiment: The table below lists the data from an experiment to measure how high a ball bounces after being dropped from six different heights. a) Construct a Scatter-Plot Graph of this data using Google Sheets. Be sure to label your graph fully! Note: You are also welcome to make this graph "by hand" using graph paper. b) Add a "Line of Best Fit" to your "Scatter-Plot" graph. hint: select the "trendline" feature in "Google Sheets". c) Describe the trend, or the relationship in the graph between the two variables. Initial Height (m) Bounce Height (m) Refer to the actual variables (initial height & bounce height) from your graph. 1.00 0.62 Note: Use words such as increasing/decreasing, Positive/negative? Strong/Weak? d) Using your graph estimate how high a ball will bounce if dropped from 1.7 m 1.50 0.91 2.00 1.18 2.50 1.51 3.00 1.80 3.50 2.08
Question 3 Twenty sculptors were asked to produce molds of a model using a different medium for each one. The options are: having the model present at the session, using a photograph and seeing the model, but having to create the sculpture from memory. The sculptor then rated the difficulty of creating each piece of artwork (1=easy; 10 = difficult). The data is provided below: Subject 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Model Present 9 3 6 1 5 9 8 6 8 1 8 8 6 9 5 1 7 10 3 10 Photo 5 9 8 6 7 4 8 9 3 8 5 7 10 2 8 6 4 9 6 10 Memory 5 6 9 10 7 1 10 4 8 10 10 5 3 7 9 8 7 1 10 10 1. Use the data above to conduct a One-Way Repeated Measures ANOVA. The JASP output of all the statistical analyses performed as well as the file that was produced should be provided.
please i need the solution for (E,f,g)
Question #21
Question 12 The dot plots show the number of minutes it takes students in Mrs. Williams and Mr. Escobedo's class to get to school. 3 12 15 3 6. 12 15 Mrs. William's Class Mr. Escobedo Class WIcn staLement is ivUT Suppo Led by he Iomation III e dot piois ? A. The data in Mr. Escobedo's class is approximately symmetrical The median number of minutes it takes Mrs. Williams students to get to school is greater than the median number of minutes it takes Mr. Escobedo's students to get to school В. The number of minutes it takes Mrs. William's students to get to school has a greater range than the number of minutes it takes Mr. Escobedo's students to get С. school The maximum value of the data for Mr. Escobedo's class is less than the maximum value of the data for Mrs. William's class D.
2. The position of a rider on a Ferris wheel is an example of periodic motion. Find three other examples of periodic motion.
Using Exhibit 15, answer the following questions. i) State and interpret the coefficient of the intercept. ii) Write the value of the coefficient of time and interpret it. iii) State and interpret the estimated coefficient for the second quarter. iv) State the quarter with the second highest total energy. State the value and interpret this value. v) Without stating the hypotheses for the test, determine if the total energy produced in Quarter 3 is different to the production in Quarter 4. Use a 1% level of significance and show all the steps. vi) Next, using this estimated model predict the total energy production for Quarter 3 in 2023. To do so: First, write down the value for the “Time” variable. [Hint: Time = 1 in Qtr 1 2014] Second, write down the value for each of the quarterly dummy variables for Quarter 3 2023. Third, write down the equation substituting these quarterly dummy values in the model (equation) to predict the total energy production for Quarter 3 2023.
I need help answering questions 5, 6, and 7. It says I need to draw a diagram to represent ΔERW, but I just don't understand how to start off. Any help is apperciated, thank you!
Illustration 7.34 If the normal at P() on the hyperbola = 1 meets the transverse axis at G, then prove that 22² AG A'G=a²(eª sec²0 − 1), where A and A' are the vertices of the hyperbola.

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