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The table given below shows numbers of patients classified as underweight, normal weight, overweight and obese according to their diabetes status.
Underweight Normal Weight Overweight ObeseDiabetes 8 34 65 43No Diabetes 12 85 93 40
If a patient is selected at random,
a) Determine the probability that they are overweight?b) Determine the probability that they are obese and diabetic?c) Determine proportion of diabetics are obese?d) Determine proportion of normal weight patients are not diabetic?e) Determine proportion of patients are normal weight or underweight?
Create a scenario for applying the Goodness of Fit application of Chi-square. State the hypotheses, the level of significance, the result and its meaning.
What is the interpretation of the coefficients that emerge from the regression equation. Can you predict a change in the y variable given knowledge of the x variable?
According to the National Association of Homebuilders, the average life expectancies of a dishwasher and a garbage disposal are about the same: 10 years.
Describe in some detail how a hypothesis test could be used in some real world context such as business, politics, church, Girl Scouts, school, or perhaps your place of work.
The mean television viewing time for Americans is 15 hours per week (Money, November 2003). Assume a sample of 60 Americans is taken to further investigate viewing habits. Suppose the population standard deviation for weekly viewing time is Q = 4..
You are a manager with Appetizer. The company owns a chain of restaurants in the United States. Appetizer is looking for an opportunity to expand.
The NAEP test was also given to a sample of 1077 women of ages 21 to 25 years. Their mean quantitative score was 275. Take it as known that the standard deviation of all individual scores is = 60.
Use the normal distribution of SAT critical reading scores for which the mean is 507 and the standard deviation is 121. Assume the variable x is normally distributed.
You want to determine if your widgets from machine 1 are the same as machine 2. Machine 1 has a sample mean of 500 and a population standard deviation of 6 and a sample size of 18.
Compute a 90% confidence interval for the population mean, based on the sample 25, 27, 23, 24, 25, 24, and 59. Change the number from 59 to 24 and recalculate the confidence interval.
A researcher wants to see if there is a relationship between birth order and personality. A sample of n = 100 people is obtained, all of whom grew up in 3-child families.
A stationery store wants to estimate the mean retail value of greeting cards that it has in its inventory. A random sample of 100 greeting cards indicates a mean value of $2.55 and a standard deviation of $0.44.
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