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Answer the following questions by checking either True or False.
(a) All other factors remaining the same, a 90% confidence interval is more narrow than a 95% confidence interval.
(b) All other factors remaining the same, increasing our sample size, n, will decrease the width of our confidence interval.
(c) All other factors remaining the same, a smaller standard deviation will increase the width of our confidence interbal.
(d) A confidence interval for a population mean is always symmetric and centered around the sample mean.
Can you please explain a general strategy for factoring in a very organized way. Give an example if possible.
Is the dependent variable discrete or continuous? interval, or ratio) is used to measure the dependent variable?
Explain why a strong correlation would be found between weekly sales of firewood and weekly sales of cough drops over a 1-year period. Does the strong correlation mean that one variable causes the other?
Calculate the estimated standardized regression coeffcients using the output obtained here and the descriptive statistics output obtained above. Do your results agree with your previous results?
Find the questions based on multiple regression - The coefficient of determination for the above model is approximately
Sales figures and profits for the stores are given in the following table. Obtain a regression line for the data and predict profit for a store assuming sales of $10 million.
Compute the mean number and median number of apples in a bag.
a parking garage charges 10 for the first hour and 8 per hour or fraction thereof after that. suppose you park in this
Using the below information in a linear programing problem maximize the profit for product A and B. Provide how many of each product should be produced and what is the profit at that level?
Of the physics graduates at a university, 30% had a starting salary of $30,000 or more. If five of the graduates are selected at random, find the probability that all had a starting salary of $30,000 or more.
a box contains 3 marbles 1 red 1 green 1 blue. consider an experiment that consists of taking 1 marble from the box
the number of unhealthy days based on the aqi air quality index for a random sample of metropolitan areas is shown.
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