1. The claim is that the proportion of women who use Internet
... c) Find test statistics (write the appropriate formula, substitute the values, show excel formula, and calculate). I do think that this is written backwards, since (95-65)/95 is closer to 0.32 and would make for a more ...
... c) Find test statistics (write the appropriate formula, substitute the values, show excel formula, and calculate). I do think that this is written backwards, since (95-65)/95 is closer to 0.32 and would make for a more ...
A non-election-related poll! A new method for margin of error:
... (okay, I cheated. I used 50% for the true population percent. But I had to use something for the "unknown" population percent!) Approx. standard deviation = ...
... (okay, I cheated. I used 50% for the true population percent. But I had to use something for the "unknown" population percent!) Approx. standard deviation = ...
Extrema and Critical Numbers
... interval. For instance, in Figure 3.1(a) and (b), you can see that the function f(x) = x2 + 1 has both a minimum and a maximum on the closed interval [–1, 2], but does not have a maximum on the open interval (–1, 2). ...
... interval. For instance, in Figure 3.1(a) and (b), you can see that the function f(x) = x2 + 1 has both a minimum and a maximum on the closed interval [–1, 2], but does not have a maximum on the open interval (–1, 2). ...
Section 1 Outline - Princeton High School
... the true confidence level will be different from the value C used in computing the interval. Examine your data carefully for skewness and other signs of non-normality. The interval relies only on the distribution of x , which even for quite small sample sizes is much closer to normal than the indivi ...
... the true confidence level will be different from the value C used in computing the interval. Examine your data carefully for skewness and other signs of non-normality. The interval relies only on the distribution of x , which even for quite small sample sizes is much closer to normal than the indivi ...
STAT 415 Learning Objectives Upon successful completion of this
... STAT 415 Learning Objectives ...
... STAT 415 Learning Objectives ...
Probability 2
... Increasing the sample size gives us better estimates of each individual mean, hence the difference between them. The range that we can expect the true mean to fall is thus ...
... Increasing the sample size gives us better estimates of each individual mean, hence the difference between them. The range that we can expect the true mean to fall is thus ...
Functional linear model
... study, this quadratic criterion error cannot be computed and on the other hand, it is clear from the above simulation that the quality of the estimator depends considerably on the choice of the dimension value, kn : A data-driven selection method such as penalized cross validation may be used in tha ...
... study, this quadratic criterion error cannot be computed and on the other hand, it is clear from the above simulation that the quality of the estimator depends considerably on the choice of the dimension value, kn : A data-driven selection method such as penalized cross validation may be used in tha ...
simulation study
... Compare estimators based on this criterion to the usual least squares estimator in cases where the error distribution has heavier (e.g. exponential or logistic) or lighter (e.g. uniform) tails than the normal. (See the code ’slrinf.r’ in the rfiles directory for hints on computation.) ...
... Compare estimators based on this criterion to the usual least squares estimator in cases where the error distribution has heavier (e.g. exponential or logistic) or lighter (e.g. uniform) tails than the normal. (See the code ’slrinf.r’ in the rfiles directory for hints on computation.) ...
Mean, , is unknown
... An auditor is faced with a population of 1000 vouchers and wishes to estimate the total value of the population of vouchers. A sample of 50 vouchers is selected with average voucher amount of $1076.39, standard deviation of $273.62. Set up the 95% confidence interval estimate of the total amount for ...
... An auditor is faced with a population of 1000 vouchers and wishes to estimate the total value of the population of vouchers. A sample of 50 vouchers is selected with average voucher amount of $1076.39, standard deviation of $273.62. Set up the 95% confidence interval estimate of the total amount for ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.