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Test the significant difference between Chi-square for attributes
The issue of how much should be spent to solve particular U.S. social problems is a complex matter, and people have diverse and conflicting ideas on these issues. Race and social class have an impact on how people perceive the extent of government spending. The 2006 GSS contains several questions on these topics. For this exercise, we present race and the variable NATFARE, which asked whether we were spending too much, too little, or the right amount of money to address welfare.
Spending on
Race of Respondent
Welfare
White
Black
Hispanic
Total
Too little
128
41
21
190
About right
197
32
250
Too much
185
31
19
235
510
104
61
675
Test whether race and NATFAE are independent (α = 0.05). What do you conclude?
To test this notion, eight paid volunteers were placed (individually) in a room in which there was no light from the outside and no clocks or other indications of time.
Random sample of 64 services is selected. Assume the population consists of 400 services. Find out the standard error of mean.
Explain the results plot the original data and the fitted regression equations.
At a 5% level of significance, is there sufficient evidence that the population mean waiting time is now less than 3.7 minutes?
Last week Sarah had exams in Math and in Spanish. On the Math exam, the mean was u, = 30 with a = 5, and Sarah had a score of X - 45. On the Spanish exam, the mean was u, = 60 with 0 = 6 and Sarah had a score of X = 65. For which class must Sarah ..
To test whether the population mean is less than a specified value.
There were 3 defectives in the first batch and 5 in the second. Find a 95% confidence interval for the difference in the proportion of defectives.
Find the value of Z-score- standard normal distribution.Find out a value of the standard normal random variable z, call it z0.
Based on the equation of the least-squares line, we use software to predict the average number of home runs hit per game per team for the year 2001. We obtain the following.
Evaluate the strength of the relationship by computing the coefficient of determination.
Use this information to make a 95% confidence interval to evaluate true average number of copies made each day at this company.
An experiment consists of making 80 telephone calls in order to sell a particular insurance policy.
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