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Studies from a local mall show the typical shopper spends 0.75 hrs shopping. the standard deviation is 0.10 hours. A sample of 45 shoppers revealed the mean time spent increased to .080.
Develop a hypothgesis to determine the mean time spent is more than 0.75 hrs using the .05 significance level.
Supose the mean shopping time actually increced from 0.75 hrs to 0.77 hrs. What is the probability this increase would not be detected?
Suppose that each passenger may get out of the elevator at either of the 2nd or the 3rd floor. Note that 8 passengers are different. How many ways may the 8 passengers get out of the elevator?
Out of 1000 people surveyed, 600 belonged to urban areas and rest to rural areas. Among 500 who visited other states , 400 belonged to urban areas. Test 5 % level of significance whether area and visiting other state are dependent.
What is the appropriate procedure to test a significant difference in means between the two groups? Use the critical -value method.
What is the probability that the mean price for a sample of 30 service stations is within $.03 of the population mean (to 4 decimals)?
Construct a 95 percent confidence interval for the true mean.
When the names of all the students at Omega University were dropped to a fishbowl, they would include:
Can we conclude that more than 60% of retired people in the age group would return to work? I need to do a Hypothesis Testing using only P value format (Explain in everyday words but also have the formal steps show with results) on this problem.
Explain the difference between independent samples and dependent samples. Classify the following as independent or dependent samples:
Calculate correlation coefficient for these sample data.
Choose the Hypothesis. Specify the Decision Rule. Calculate the Test Statistic. Make the Decision. Give an interpretation of the Decision
In your environment (business or personal), please describe a hypothesis test related to a decision. What would be your data? What would be your null hypothesis? What would be your alternate hypothesis? What would be your Type 1 and Type 2 errors ..
What is our decision regarding the differences between the observed and expected frequencies if the critical value of chi-square is 9.488 and the computed value is 6.079?
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