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Q1) Suppose you require building confidence interval for population mean within some given situation. Naturally, you should find out whether you must use either t-distribution or z-distribution or possibly even neither based upon information known/gathered in the situation. Therefore, based upon given information for each situation below, find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
a) 95% confidence n=52 sigma unknown population data believed to be normally distributed.
b) 90% confidence n=7 sigma unknown population data believed to be very skewed.
c) 95% confidence n=85 sigma unknown population data believed to be skewed right.
d) 99% confidence n=15 sigma unknown population data believed to be normally distributed.
If is the proportion of the next 100 shoppers that buy a packet of the crackers after tasting a free sample, then the probability that fewer than 30% buy a packet after tasting a free sample is approximately.
Develop three regression models to predict the selling price based upon each of the other factors individually. Which of these is best?
What is the distinction between a one-sided and a two-sided hypothesis test in this problem?
If statistically significant, do you think the difference is large enough to be important?
If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means:
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A sample of 100 observations has a mean of 2.99 and a standard deviation s equal to 0.5 Conduct the following test of hypotheses about the corresponding population mean at a level of significance of α = 0.2
Dr Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different than the historical grade distribution.
What is your conclusion? Are the two variables independent?
Estimate using three day weighted moving average. Estimate sales for the next day using a three-day weighted moving average where the weights
Describe the given data show a seasonal effect using moving average method. Describe the data which show a seasonal effect.
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