Stats Help for College-level Students

Statistics

A tire company made a sampling distribution on one of its brands of tires and determined that the tire had a mean life of 56,000 miles with a standard deviation of 18,100 miles. a. What is the probability that the life of a single tire will be less than 50,000 miles? b. What is the probability that the mean life of a sampl ...continues

Standard normal distribution to approximate Binomial distribution

It is estimated that the probability that the general population will live past their 85th birthday is 5.4%. Use the standard normal distribution to approximate this Binomial problem and answer the following questions. Out of a sample of 600, what is the probability that fewer than 30 will live beyond their 85th birthday?

Regression and hypothesis testing

Fran's Mart are located throughout Erie, Pennsylvania, the owner would like to expand into other communities in northwestern Penn. and southwestern New York. As part of her presentation to the local bank, she would like to better understand the factors that make a particular outlet profitable. She must do all the work herself, ...continues

Regression and hypothesis testing

A mortgage department of a large bank is studying its recent loans. Of particular interest is how such factors as the value of home (in thousands of dollars), education level of the head of household, current monthly mortgage payment (in dollars), and sex of the head of the household (male = 1, female = 2) relate to the family ...continues

Regression and hypothesis testing

Fred is the manager of human resources at St. Luke Hospital. As part of his yearly report to the president of the medical center, he is required to present an analysis of the salaried employees. Because there are over 1,000 employees, he does not have the staff to gather information on each employee, so he selects a random sam ...continues

Determining the probability from a given situation.

A chemical plant has an emergency alarm system. When an emergency situation exists, the alarm sounds with a probability of 0.95. When an emergency situation does not exist, the alarm sounds with a probability of 0.02. A real emergency situation is a rare event, with a probability 0.004. Given that the alarm has just sounded, ...continues

Statistics

Hypothesis testing

Standard error of proportion, Error

Nationally the proportion of American households with income above $100,000 is 10%. A researcher in State of California finds that out of a sample of 300 households , 35 have income above $ 100,000. Can it be concluded from this sample that the proportion of households in california with income of $100,000 exceeds the proportion ...continues

Interpretation of Data using SPSS (--provide detailed response)

I'm in the number crunching phase of some research. I had an advanced stats class two years ago, hence, the haziness on the interpretation end. I compiled the data from the Metropolitan Chicago Information Center (MCIC) and developed two hypotheses relative to data about residents' perception of crime in their neighborhoods for ...continues

Determining the sampling distribution of a proportion.

According to a well-known newspaper journal, 58.3% of the 222,900 households in a particular county get the Sunday edition of the local newspaper. Suppose that random samples of 200 households are selected. In what proportion of the samples will between 55% and 60% of the households get the Sunday edition of the newspaper? ...continues