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In order to measure the experiment effect on user engagement let s say you want to perform a t test of the

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ehalf of their customers, portfolio managers give a questionnaire to new customers to measure their desire to take financial risks. The scores on the questionnaire are approximately normally distributed with a mean of 49 and a standard deviation of 14 The customers with scores in the bottom 10% are described as "risk averse." What is the questionnaire score that separates customers who are considered risk averse from those who are not? Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place.
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b the link is https://phet.colorado.edu/sims/html/projectile-motion/latest/projectile-motion_en.html and these are the questions 2: Raise the cannon to a height of 15 meters. Set the horizontal velocity to 12 m/sa) Sketch the situationb) Predict the distance you have to place the target from the base of the cannon (calculate this & show all work). c)Perform the experiment by placing the target at the predicted range and clicking the cannon button. Compare your predicted value to the outcome of the testing experiment. Do they agree or disagree? (Did you hit the target?) 3: Raise the cannon to a height of 5 meters. Measure the distance of the David statue from the base of the cannona) Sketch the situation.b) Predict the velocity with which you have to launch the object in order for it to hit the statue (calculate this & show all work).c)Perform the experiment by entering the predicted velocity and clicking Fire. Compare your predicted value to the outcome of the testing experiment. Do they agree or disagree? (Did you hit the statue?) If they disagree, look at your math again! 4: Set the initial velocity of the object to 20 m/s. Place the target at a range (distance) 20 m.a) Sketch the situation.d) Predict the height from which you have to launch the object in order for it to land on the target (calculate this & show all work).b) Perform the experiment by raising the cannon to the predicted height and clicking Fire! Compare your predicted value to the outcome of the testing experiment. Do they agree or disagree? (Did you hit the target?) If they disagree, look at your math again!
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of the difference in minutes spent on site, what would be your unit of analysis (i.e. when conducting a t-test, we calculate means and variances of two samples. What does each data point represent in the samples?)? *
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