Suppose instead, you obtained the following data: Afternoon Testing Morning Testing M= 15 Older Adults M= 15 Younger Adults М3D 19 М3D 20 9. Does there appear to be a main effect of time of day? 10. Does there appear to be a main effect of age? 1 1. Does there appear to be an interaction between age and time of day? (Hint: Draw a line graph)

Suppose instead, you obtained the following data: Afternoon Testing Morning Testing M= 15 Older Adults M= 15 Younger Adults М3D 19 М3D 20 9. Does there appear to be a main effect of time of day? 10. Does there appear to be a main effect of age? 1 1. Does there appear to be an interaction between age and time of day? (Hint: Draw a line graph)

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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Can you please check my work
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
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Example#1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from O to 30). HaJf of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group; that is, "M" is mean). Morning Testing M= 15 Afternoon Testing Older Adults M=8 Younger Adults М- 16 М-20
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