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A company manufactures light bulbs. The company wants the bulbs to have a mean life span of 1000 hours. To maintain this average, random samples of 16 light bulbs are periodically tested. If the t-value falls between -t0.99 and t0.99, the company will be satisfied that it is manufacturing acceptable light bulbs. A sample of 16 light bulbs is randomly selected and tested. The mean life span of the sample is 955 hours and the standard deviation is 35 hours. Is the company making acceptable light bulbs? Assume life spans are normally distributed.
What are some critical decisions involved in selecting an appropriate measurment scale? How might these decisions influence the research design?
Using data provided, test if there is a difference between means at alpha =.05.
The correlation between the two variables is 0.4. Hourly earnings are regressed on years of education. What is the slope of the OLS regression line?
Critically discuss the general characteristics of a research study for which an independent-measures t would be the appropriate test statistics
From time to time, one branch office of a company must make shipments to a certain branch office in another state. There are three package delivery services between the two cities where the branch offices are located.
The mean numbers of trials to learn maze for the group with the colrful wallpaper is 11. What is the standard deviation of the distribution of means?
What is the level of measurement for these items related to the newspaper business?
Are the data sufficient to that the herb has a significant effect on memory? Use a two-tailed test with α = .05.
Using the six-step critical value approach, at the 0.05 level of significance, is there evidence that the population mean delivery time has been reduced below the previous population mean value of 25 minutes?
Demonstrate correct use of descriptive statistics. Demonstrate proficiency in hypothesis testing. Evaluate the results of a statistical analysis.
At a party there are 30 students over age 21 and 20 students under age 21. You choose at random 3 of those over 21 and separately choose at random 2 of those under 21 to interview about attitudes toward alcohol.
Explain in detail and give an original example of the four types of probability.
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