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A restaurant wants to test a new in-store marketing scheme in a small number of stores before rolling it out nationwide. The new ad promotes a premium drink that they want to increase the sales of. 12 locations are chosen at random and the number of drinks sold are recorded for 2 months before the new ad campaign and 2 months after. The 90% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after is (0.39, 16.64). Which of the following is the appropriate conclusion? The differences were calculated as (after ad campaign- before ad campaign).
1) We are 90% confident that the average difference in sales quantity for all stores is positive, with the higher sales being before the ad campaign.
2) There is not a significant difference between the average sales quantity before or after the ad campaign.
3) We are 90% confident that the average difference in sales quantity for all stores is positive, with the higher sales coming after the ad campaign.
4) We are 90% confident that the average difference in sales quantity for all stores is negative, with the higher sales coming after the ad campaign.
5) We are 90% confident that the average difference in sales quantity for all stores is negative, with the higher sales being before the ad campaign.
Expand and aggregate plan using each of the following guidelines and complete the total cost for each plan. Which plan has the lowest total cost.
Assuming that the variability is unchanged (i.e., σ = 6), is there sufficient evidence to suggest that the strength of the product has increased at the 1% level of significance?
Decision making using the Transportation method.
Determine the probability that: a) Exactly 3 will have this mild side effect.
On the same chart, produce a graph showing the original probability mass function, and a line graph showing your selected continuous probability density function.
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
The distribution of 9 ounce bags of a particular bag of potato chips is approximately Normal with a mean of 9.12 ounces and a standard deviation of 0.15 ounces.
The Bunte Auto Repair Shop received a shipment of four carburetors. One is known to be defective. If two are selected at random and tested.
What is our decision regarding differences between observed and expected frequencies if critical value of chi-square is 9.488 and computed value is 6.079.
Now compute the standard deviation for this distribution.
If probability of drawing a face card is 0.625. Determine the probability of not drawing a face card.
A random sample of 20 single men was asked if they would welcome a woman taking the initiative in asking for a date. What is the probability that
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