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The mean weekly income of residents of one state is $570. A random sample of 12 residents of one small town in the state yielded the following weekly income in dollars 480 780 392 431 515 717 1120 495 560 520 503 900 At the 0.05 level of significance, does the data provide sufficient evidence to conclude that the mean weekly income for residents of this town is lower than the state mean income of $570? Assume that the population has a normal distribution
Believe the consumer advocate's claim? Explain
What is the sample space and what is the probability of obtaining a total of 5 for the two cards?
Standard normal distribution: finding the probability that a randomly selected cell phone bill is between 60 and $83?
Prepare a line graph comparing the linear trend predictions against the original data and what are the forecasts for each of the first six months in 2011 using this technique?
Determine the significance of the difference between the groups and determine whether building systems helped reduce new cases of malaria.
Given that the scores on a medical test follow a normal distribution with a mean of 460 and a standard deviation of 100. If all students in a class of 41 attend the test what is the probability that the given class will obtain a mean score of abov..
Identify sample, population, sampling frame (if applicable), and response rate (if applicable). Describe sampling technique (if applicable) or experimental design
Using regression as the procedure, produce the forecast of weekly sales for the periods Jan 27, 2014 through Jan 19, 2015 - show a graph of the historical and forecasted sales in one graph
The length of human pregnancies from conception
The Mann-Whitney test, or none of these tests?
Assignment Objectives: Construct a scatter plot for two variables, compute a correlation coefficient, and a regression equation. Use the regression equation to predict a value of the dependent variable.Purpose: In this week's assignment, we ..
Construct a 88% confidence interval for the mean femininity score of all male hotel managers and estimate the percent change amongst lactating mothers to within ± 0.5% with 99% confidence. How large a sample of nursing mothers do you need?
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