Thursday, March 19, 2020

Sony Corporation essays

Sony Corporation essays The Sony Company was incorporated in 1946 as Tokyo Telecommunications Engineering Corporation. Its founders were Masaru Ibuka, whose Japan Precision Instruments Company had supplied electronic devices during World War II, and Akio Morita, an applied sciences instructor. The venture, which was funded by Morita's father, was formed to apply the advanced technology developed during the war to the manufacturer of consumer products. They renamed the company Sony (from the Latin sonus, sound) in 1958 and became one of the world's largest electronics corporations. Akio Morita came from a family with a long tradition of sake brewing and was expected to follow in the family business. Instead he showed an early interest in technology, eventually attending Osaka Imperial University and graduating in 1944 with a degree in physics. While serving in the navy during World War II he met Masaru Ibuka, industry's representative on the Wartime Research Committee. Ibuka was an imaginative engineer, a perfectionist who helped to create some of Sony's most popular products. Under his technical leadership, Sony introduced the first transistor television set in 1959, the first solid-state videotape recorder in 1961, and the Trinitron TV, launched in 1967. Toward the end of the war, Ibuka began a new business, Tokyo Telecommunications Engineering Corporation. He was a pioneer in applying leading electronics technology to a broad range of consumer products. He also originated a new direction in the Japanese electronics industry from modifying existing technologies to creating new business opportunities. Ibuka and Morita along with seven employees and $375 in capital started work in an abandoned department store amid the devastation of early 1946. The company's first innovation, an electric rice cooker, failed, but the pair persevered. Even Sony's failures are successes: Sony's Beta videotape format fell out of favor with the consumer market, but the ...

Tuesday, March 3, 2020

Independent Variable Definition and Examples

Independent Variable Definition and Examples The two main variables in a science experiment are the independent variable and the dependent variable. Heres the definition on independent variable and a look at how its used: Key Takeaways: Independent Variable The independent variable is the factor that you purposely change or control in order to see what effect it has.The variable that responds to the change in the independent variable is called the dependent variable. It depends on the independent variable.The independent variable is graphed on the x-axis. Independent Variable Definition An independent variable is defines as the variable that is changed or controlled in a scientific experiment. It represents the cause or reason for an outcome.Independent variables are the variables that the experimenter changes to test their dependent variable. A change in the independent variable directly causes a change in the dependent variable. The effect on the dependent variable is measured and recorded. Common Misspellings: independant variable Independent Variable Examples A scientist is testing the effect of light and dark on the behavior of moths by turning a light on and off. The independent variable is the amount of light and the moths reaction is the dependent variable.In a study to determine the effect of temperature on plant pigmentation, the independent variable (cause) is the temperature, while the amount of pigment or color is the dependent variable (the effect). Graphing the Independent Variable When graphing data for an experiment, the independent variable is plotted on the x-axis, while the dependent variable is recorded on the y-axis. An easy way to keep the two variables straight is to use the acronym DRY MIX, which stands for: Dependent variable that Responds to change goes on the Y axisManipulated or Independent variable goes on the X axis Sources Dodge, Y. (2003). The Oxford Dictionary of Statistical Terms. OUP. ISBN 0-19-920613-9.Everitt, B. S. (2002). The Cambridge Dictionary of Statistics (2nd ed.). Cambridge UP. ISBN 0-521-81099-X.Gujarati, Damodar N.; Porter, Dawn C. (2009). Terminology and Notation. Basic Econometrics (5th international ed.). New York: McGraw-Hill. p. 21. ISBN 978-007-127625-2.