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Question: Scatterplot. Plot the weight of the bar of soap against day. Is the overall pattern roughly straight-line? Based on your scatterplot, is the correlation between day and weight close to 1, positive but not close to 1, close to 0, negative but not close to -1, or close to -1? Explain your answer.
Truck tire life is normally distributed with a mean of 60,000 miles and a standard deviation of 4,000 miles. You bought four tires. What is the probability that the average mileage of the four tires exceeds 66,000 miles?
quantitative research questiondownload gpower and play around with it. see how changes in assumptions and parameters
Your submission should consist of only those answers exhibits that are specifically asked for in a single word or pdf document. Please ensure that each exhibit is well edited and appropriately formatted. You may assume that fractional answers are ..
A study was reported about the effects of the number of hours worked, on average, and the average hourly income on unemployment in different countries.3 Suppose that the regression analysis resulted in SSE = 8,650
A certain state lottery awards 418 prizes; 28-$200 prizes, 120-$25 prizes and 270-$20 prizes, for every 10,000 tickets sold.
At the 0.05 level, can we conclude that the geographical distribution of hotline callers could be the same as the U.S. population distribution?
A number x is formed by choosing six digits in order, each being a 9 or a 1 and equally likely. Describe the sample space and count the number of sample points it contains.
Determined the direction and strength of the relationship between time (X) and temperature (Y) based on the calculation of a Pearson correlation coefficient. Calculated a five-number summary of the temperature data.
Digital data are transmitted as a sequence of signals that represent 0s or 1s. Suppose that such data are being transmitted to a satellite and then relayed to a distant site.
The heights of 40 randomly selected people and the heights of their mothers are recorded. Statdisk is used to run a linear correlation and regression analysis. The partial results are provided below:
Must the company replace old truck? If so which of new trunks must they use? Describe in detail.
Provide a 95% confidence interval for the difference between the two population means. Compare the means of population 1 and population 2. Are they equal? Show your test procedure.
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