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In a random sample of visitors to a famous tourist attraction , 84 of 250 men and 156 of 250 women bought souvenirs .
Construct a 95% confidence interval for the difference between the true proportions of men and women who buy souvenirs at this tourist attraction.
a simple random sample of 40 items resulted in a sample mean of 25. the population standard deviation is 5.a. what is
The standard error of the estimate (standard error) is the estimated standard deviation of the distribution of the independent variable and in Regression Analysis if the variance of the error term is constant, we call it the Heteroscedasticity prope..
The number of ferromagnetic artifacts for each plot is determined. The variable in this information is number of ferromagnetic artifacts per 100 square meters.
The following study was developed by Economist Simon Fass. Fass surveyed a sample population of low-income households in St. Martin. The variables analyzed were monthly income per adult and choice of rental contract for housing.
Let X be net income of the AirCanada from the above described random experiment. Compute the probability function of X.
At the .01 level of significance, do these data support the conclusion that the ferritin distribution in elderly men has a smaller variance than in younger men?
suppose you roll two dice simultaniously. the possible outcomes are listed
q1. suppose you estimate a model obtaining wage 0.620 0.506 times educ 2.27 times female were wage is measured in
It is used when it doesn't make sense to look at the mean of such variables. Explain analysis of variance, multivariate statistics, and non-parametric methods.
he standard deviation of the sample proprortion is 5.3%. How large a sample (to the nearest person) would be required to reduce this standard deviation to 3.7%?
Marconi Shipping Company packages their shipments in 50 ton containers. History has shown that the shipping department reports that the distribution of container weights follows the normal distribution
Calculate the standard deviation of the sample mean for samples of size 1, 4, 25, 100, 250, 500, 1000, and 5000. Graph your results with the sample size on the x axis and the standard deviation on the y axis.
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