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A small electronics store has begun to advertise in the local newspaper. Before advertising, the long-term average weekly sales were $9,820. A random sample of 50 weeks while the newspaper ads were running gave a sample mean weekly sales of $10,960. Does this indicate that the population mean weekly sales is now more than $9,820? Test at the 5% level of significance. Assume = $1,580.
Find the P value or an interval containing the P value for the sample test statistic.
Following sample data shows the weekly closing price of ABC stock. Compute the sample mean and variance from this data set.
Find the 90%, 95% and 99% confidence intervals for the proportion of all voters who favor the issue. How many more voters should we include in the sample if we need to reduce the margin of error by half?
Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name. Compute the standard error of the proportion.
Using this information, calculate Blpha risk (probability of Type II error) if the true population mean really is 81.
Calculate the appropriate test statistic to test the hypotheses related to the concern and test at 5% and 1%.
Multiple choice questions based on multiple regression - Find the coefficient of determination for the above model
Use Bayes's rule to find the conditional probability that Julianne is a carrier, given that she and Jason have one child who does not have cystic fibrosis.
Is there evidence that population mean amount is different form 8.17 ounces? (Use a 0.05 level of significance.) with sample standard deviation of 0.051 ounce.
Which is the estimated or dear proportion of defective cups in the population?
When is it important to have matched pairs rather than two independent sets of data?
Find a 95% confidence interval for the population mean selling price of all homes in this neighborhood.
Which distribution should be used to create 80% confidence interval?
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