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A railroad car having a mass of 15 Mg is coasting at on a horizontal track. At the same time another car having a mass of 12 Mg is coasting at 0.75 m/s in the opposite direction. If the cars meet and couple together, determine the speed of both cars just after the coupling. Find the difference between the total kinetic energy before and after coupling has occurred, and explain qualitatively what happened to this energy.
Choose, at random, a direction which will keep you on dry land, and walk 1 km in that direction. Let P denote your position. What is the expected distance from P to the river?
a test for marijuana was tried on 210 subjects who did not use marijuana. the test result was wrong 52 times.a. based
If a random sample of 10 people found that 9 were pro-life (i.e., 90%), while another random sample of 1000 people from the same population found that 550 were pro-life (i.e. 55%), which would you find to be more significant? Why?
it has been reported that 80 of all emails received is junk mail. each morning a computer user turns on his computer
a sales manager collected the following data on annual sales and years of experience. the estimated regression equation
Think about a density curve that consists of two line segments. The first goes from the point (0, 1) to the point (0.7, 1). The second goes from (0.7, 1) to (0.9, 2) in the xy-plane. What percent of observations fall below 0.70?
find the region variable in the sampledataset. using sampledataset create a frequency distribution or a histogram.
1 true or false a t-statistic estimates the standard error by using the sample variance to approximate the population
you are trying to create a budget to optimize the use of a portion of your disposable income. you have a maximum of
Graph the inequality below on the number line. b>10
What is the probability of choosing a yellow candy, what is the probability that the candy is blue, red, or green and what is the probability of choosing an orange candy?
Established that the relation between age, and weight is somewhat linear. He calculated that the correlation between age and weight is 0.514. Describe the association.
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