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In correlation and regression we are examining relationships between two or more variables (i.e., ad spending and sales). However in most studies we do we cannot say that one variable (ad spending) causes the other (sales). Why not? What has to be the case for us to discuss one variable "causing" another?
a bank has the following data on the gender and marital status of 200 customers: single 20 male 30 female, married male 100 female 50,
The lifetime of a disposable water filter is normally distributed with mean equals 30 gal and standard eviation equals 5 gal What is the probability that a filter selected at random will last from 25 gal to 30 gal.
The following survey questions have been established for a medical errors and patient safety business research paper:
Using the 0.05 significance level what should we conclude about the theory that 24hrs. is a natural cycle? a) use hypothesis steps b) sketch distribution c) explain to someone who never took this course.
The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X 1 ) and their gender (X 2 ) (0 if male and 1 if female).
Which test do we use to see if the difference in our sample is statistically significant? Why? Should it be one or two-tailed?
If person is selected at random and tested, determine the probability of that person having an IQ score between 85 and 115. Make use of EXCEL to help determine the probability.
In a statistics lecture, students are asked whether or not they enjoyed doing statistics. Random sample of 50 students was taken and 30 of them said that they enjoyed doing statistics.
In each month, the proportion of "Prize" bonds that win a prize is 1 in 11000. There is a large number of prizes and all bonds are equally likely to win each prize.
The structure of a two factor study can be presented as a matrix with levels of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean differences that are evalua..
An executive drives his vehicle from home to work daily. Driving times are normally distributed with a mean of 35 minutes and standard deviation of 8 minutes.
Assume that a 2005 poll of 1000 American voters found that 76% of Republicans favored ending the tax on dividend income, as did 42% of Democrats and 54% of Independents.
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