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The utility company wishes to estimate the percentage of people in the U.S. who use electricity to heat their homes. Past data indicate that 154 out of 700 customers surveyed used electricity to heat their homes. If the company wishes to be 99% confident to within 3%, how large a sample would be needed?
What kind of statistical test best did you use?
What is the probability the circuit will last more than 3000 hrs. What is the probability the circuit will last between 2500 and 2750 hours and what is the probability the circuit will fail within the first 2000 hrs.
Provide a descriptive statistic (to 1 decimal) that could be used to estimate the number of women out of 1000 in this population who have tissue abnormalities.
Using 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
What type of error would result in that case? Respond to at least two of your classmate's postings.
A researcher wants to know if there is a relationship between a person's highest level of education (IV) and differences in life satisfaction (DV).
In a test of the independence of two variables, one of the variables has two possible categories and the other has three possible categories.
Comprise appropriate (BPS formatted) descriptive statistics table inferential statistics table.
Write out the multiple regression equation using the given data.
The random variable x, which is the number of occurrences of an event over an interval of ten minutes. It can be assumed that the probability of an occurrence is the same in any two time periods of an equal length.
A machine for making nuts is known to create nuts with a standard deviation in size of 0.20mm. A tradesman is required to adjust the machine to make 49mm nuts.
Suppose we conduct an ANOVA test of four treatment means and reject the null hypothesis. Construction of a confidence interval for the difference between the first and second sample mean revealed the interval to be 10 plus or minus 12. We conclude
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