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"How do Americans feel about ads on websites? A survey of 1,000 adult Internet users found that 670 opposed ads on websites. (Data extracted from S. Clifford, "Tacked for Ads? Many Americans say "No Thanks," The New York Times, September 30, 2009, p.B3). Suppose that a survey of 1,000 Internet users age 12-17 found that 510 opposed ads on websites. At the 0.05 level of significance, is there evidence of a difference between adult Internet users and Internet users age 12-17 in the proportion who opposes ads? Solve manually and then by mega stat. Indicate your decision rule, your hypotheses and your statistical and management conclusions."
Calculate the sample statistic and standard error you will use to create the test statistic.
The linear correlation coefficient, r, measures the strength of the linear relationship the variables in a set of ordered pairs (x,y). What is the maximum and minimum values for r?
Assume that correlation coefficient between 2 variables is nearly zero. What does this say about relationship between them?
Recent actual and forecasted data for product XYZ is given in the following table.
Open data file on your excel file AirlinePassengers . Point to the level of data (nominal, ordinal, ratio, or interval) measurement for each variable in data set. Notice tab for description gives information about data.
What are confounds? Give an example of a design that has three confounds. Describe three ways to alter the design to address these confounds and explain the advantages and disadvantages of each.
Calculate an 85% confidence interval for the population mean number of wolf pups per den at southwestern United States (US).
At the .05 significance level, can we conclude that there is a difference in their mean times?
It is really frustrating to run out of stock. Why wouldn't an organization always store large quantities of inventory to eliminate shortages and stockouts?
The hypotheses are as follows: Null Hypothesis: μD ≤ 0, Alternative Hypothesis: μD > 0. From her data, the resesarcher calculates a p-value of 0.0162. What is the appropriate conclusion? The difference was calucated as (after - before).
To test whether there is a significant mean difference among the three.
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
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