{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

hw5 - medication are shown in the table below 4 hours...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
Stats I Homework 5 Due :When you take the exam 1. Val N. Tine is interest to see whether flower sales are greater in month that contain holidays. She gathers some quick data from the last two years by counting the how many months had sales of over $30,000. She obtains the following results on the number of months. Holiday in Month No Holiday in month above $30,000 7 3 below $30,000 5 9 a. What type of data is represented by these data? b. Do the appropriate analysis. Use the 5 step procedure. c. Estimate the p-value. d. What conclusions do you reach? Explain in terms of the problem. 2. A medical researcher, Dr. Mel Practice, was studying whether or not the time between ingestion of medication affected whether or not a person contracted the common cold. The researcher randomly assigned individuals to three different intervals for receiving the medication. The subjects were examined daily to determine if they were coming down with a cold. The incidence of colds for a season along with the time period between doses of
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: medication are shown in the table below. 4 hours between doses 6 hours between doses 8 hours between doses Developed colds 5 7 12 No colds 17 12 10 a. What are the independent and dependent variables? b. What type of data are these? c. Do the 5 step hypothesis test d. What conclusions do you draw from these data? State your conclusions in terms of the problem. 3. A survey of 200 users of hair shampoo led to the contingency table given below Usage Rate Male Female Total Light 48 32 80 Medium 38 42 80 Heavy 14 26 40 Total 100 100 200 A manufacturer of personal care products noted in the survey that more women than men are heavy users and more men than women are light users. Considering the possibility that the observed relationship in the sample between gender and usage rate might just be a sampling fluke, use the chi-square distribution to test the hypothesis of no relationship between usage rate and gender....
View Full Document

{[ snackBarMessage ]}