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In a random sample of 500 families owning sets in the town was found that 340 subscribed to ASTRO. Find a 95% confidence interval for actual proportion of families in this town who subscribe to ASTRO.
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
The director of a radio broadcasting company wants to determine whether the mean length of commercials on his station is equal to 24 seconds.
In a random sample of 80 items, the defect rate is 5% but the manager claims that this is only a sample fluctuation and production is not really out of control. At the 0.01 level of significance, does the data provide sufficient evidence that the ..
A psychologist determined that the number of sessions required to obtain the trust of a new patient is 1, 2, and 3. Let x be the random variable indicating the number of sessions required to gain the patient's trust. The following probability fu..
A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
Provide at least 1 example of how a real company has used each of the following multivariate techniques: factor analysis, multi-dimensional scaling, and cluster analysis.
The general social survey is an annual survey given to about 1,500 U.S. adults selected at random. Each year, the survey contains several questions meant to probe the respondents' views of employment.
Compute the coefficient of determination for bone loss and women's age and describe what this statistic means.
One-way Analysis of Variance (ANOVA) test - How many treatments are there and What is the total sample size?
Professor Brunner had students in his Marketing class rate his performance as Excellent, Good, Fair, or Poor. A graduate student collected the ratings and assured the students that Professor Brunner would not receive them until after the course gr..
A textile manufacturer estimates that it produces bolts of cloth with flaws following a Poisson distribution that has an average of one flaw per 200 feet of cloth.
A 'good' correlation is data-context driven. For example, I did a project correlating sales volume per state and customer demographics (pretty 'hard' data) and got a .92 correlation.
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