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What are the 2 advantages of using Z power?
If the z score is less than 0, what can be said of the corresponding raw score?
If the z score is greater than 0, what can be said of the raw score?
If the z score is equal to 0, what can be said of the raw score?
Extra college-level training, and rest of the sailors arn't accounted for. How does your sample compare to what you expected to determine? Define null hypothesis.
List and describe the three assumptions of ANOVA. When should researchers use different hypothesis tests for independent and related samples? What is the difference between a one-way-ANOVA and a two-way-ANOVA?
A random sample of 56 people measured accuracy w/ positive errors representing watches that are ahead of the correct time and negative rep. those behind the time.
Suppose data collected by observers at randomly selected intersections across the country revealed that in a sample of 85 drivers 60 were using their cell phones. Compute a 97% confidence interval for p, the true driver cell phone use rate.
Your company manufactures low calorie frozen dinners. The advertised calorie content is 200 calories. A consumer activist group, FACT: fat and calories tribunal, is claiming that your product is not consistent.
x you then repeat this procedure three more times. you learned in class that u_x = u can you conclude that the mean of the four sample mean will be equal to the population mean, 65? why or why not?
Using historical records, the personnel manager of a plant has determined the probability distribution of X, the number of employees absent per day. Calculate the mean of the population.
The waiting time to place an order at a branch of a fast-food chain during the lunch hour has had population mean of 3.55 minutes, with a population standard deviation of 1.1 minute.
Find the evaluation score confidence intervals for the following two departments: Department 1 and Department 4 combined. Find the confidence interval at the 95% level. Use s = 6.06 and the mean 17.625.
How can you or your department decide whether or not the variation is important? How could using a mean difference test help?
Can we conclude that, as the size of the home (reported below in thousands of square feet) increases, the selling price (reported in $ thousands) also increases?
Your fixed costs are presently $500,000 with a variable cost per unit of $25 per unit and a sales price of $43 Your options are: Increase your fixed costs by $50,000 which will decrease variable costs by $8 per unit.
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