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Can you explain to me how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same. Please provide a numerical e
The 50 states and the district of Columbia in 2009. With the first class having a lower class limit of 4 and a class width of 2 , contruct a frequency distribution?
Three men were trying to make the football team as punters. Compute the variance and standard deviation for each punter.
Osteoporosis is a condition in which bone density decreases, often resulting in broken bones. Compute the standard deviation of the bone density losses.
The GPAs have a mean of 2.95 and an SD of 0.55. Has the mean GPA at the university gone up since last year, or is this just chance variation.
Investigate the comparative pros and cons of the mean and the median. Find examples where the mean is more appropriate than the median and vice-versa.
Suppose you roll a standard die 2000 times and let X be the sum of the values you get. Using the Central Limit Theorem, for what value of a is P[X >= a] approximately equal to P[N(0,1) >= 2]
Using this information, can you conclude that the standard deviation in the annual salaries for actuaries is greater in NY than in California? Use a = 0.05.
What is an example of a normal distribution? please articulate what the example is (post the graph, picture of the graph, etc); discuss what the normal distribution means for this example.
Since E(x)=1/p, a natural approach to estimate p is to get a sample from X and then take the reciprocal 1/X. Show that this is NOT an unbiased estimator for p.
Constructing a scatter plot and determining correlation. a. display the data in a scatter plot, b. calculate the correlation coefficient f, and c. make a conclusion about the type of correlation.
Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. If your test statistic is -1.64 what will be your decision?
Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. What is your conclusion?
Using the .01 significance level you will test to conclude if the analyst finds evidence that the boast of dealership A is correct. What will be your critical value?
Using a .05 level of significance you will test to determine if there is evidence that the true average return is different from $870. Is this a 1 or 2 tail test?
Use this information to develop a 95% confidence interval to estimate the production variance for the hourly wages of production workers in U.S. What is the value of upper limit of this confidence i
At the .05 significance level we will test if the mean number of units produced on the afternoon-shift is larger. Is this a one sample test or a two sample test?
In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year would you use a z or t in the formula?
In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the value of the Z used in the formula?
In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the upper limit of the confidence interval?
At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your conclusion?
At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is the value of your test statistic?
At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is your critical value?
At the .05 significance level, we will test to see if we can we conclude that the packages shipped at the end of the month weigh more. What is the alternate hypothesis.