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You are trying to get an important new customer to buy a product that you produce. Their decision to buy the product from you will depend primarily on the speed with which you can produce the product once they have placed an order. Currently, it takes you 70 hours on average to produce the product with a standard deviation of 8 hours. From historical data, you have determined that actual production times follow a normal distribution.
(a) What percent of the time can you produce the product within 80 hours?
(b) You want to promise that 95% of the time you will deliver the product in under _____ hours. What number should you put in the blank?
(c) Assuming the standard deviation stays the same, how much do you have to reduce your average production time so that 95% of the time you can deliver the product in under 75 hours?
A doctoral student is designing a research study. She is hoping that the results of the study are statistically significant. What type of p-value would she want to obtain? Select one of the following.
What is the distribution of X? State its mean and variance.
Is it reasonable to compute that the mean of the population is actually $15,000.
A noted psychic was tested for ESP. The psychic was presented with 400 cards face down and asked to determine if each card was marked with one of four symbols: a star, cross, circle, or square. The psychic was correct in 120 cases. Let p represent..
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
Can researcher conclude that humidity has significant effect on eating behaviour? Use two-tailed test with a = 0.05.
To avoid the problem of not having access to Tables of F distribution with values given for the lower tail, the numerator of the test statistic should be the one with:
How many departments would they need to survey to achieve this level of accuracy with 95% confidence?
Use analysis of variance to test any differences in mean glue strengths.
In a distribution of sentence lengths in months like the following: 6, 12, 10, 18, 24, 360; which statistic would a researcher not want to report?
A retail federation conducted a nationwide survey of 1000 adults last October and found that approximately 55% of the respondents planned to do some type of Halloween decorating.
Assume you are using ANOVA to study some phenomenon. There are three treatment levels and a total of 17 people in the study. Complete the following ANOVA table.
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