Purchase Solution

Statistics: Analysis of food intake and weight gain

Not what you're looking for?

Ask Custom Question

Food intake and weight gain. If we increase our food intake, we generally gain weight. Nutrition scientists can calculate the amount of weight gain that would be associated with a given increase in calories. In one study, 16 nonobese adults, aged 25 to 36 years, were fed 1000 calories per day in excess of the calories needed to maintain a stable body weight. The subjects maintained this diet for 8 weeks, so they consumed a total of 56,000 extra calories. 12 According to theory, 3500 extra calories will translate into a weight gain of 1 pound. Therefore, we expect each of these subjects to gain 56,000/ 3500 = 16 pounds (lb). Here are the weights before and after the 8- week period expressed in kilograms (kg):

Subject 1 2 3 4 5 6 7 8
Weight before 55.7 54.9 59.6 62.3 74.2 75.6 70.7 53.3
Weight after 61.7 58.8 66.0 66.2 79.0 82.3 74.3 59.3
Subject 9 10 11 12 13 14 15 16
Weight before 73.3 63.4 68.1 73.7 91.7 55.9 61.7 57.8
Weight after 79.1 66.0 73.4 76.9 93.1 63.0 68.2 60.3

(a) For each subject, subtract the weight before from the weight after to determine the weight change.

(b) Find the mean and the standard deviation for the weight change.

(c) Calculate the standard error and the margin of error for 95% confidence. Report the 95% confidence interval in a sentence that explains the meaning of the 95%.

(d) Convert the mean weight gain in kilograms to mean weight gain in pounds. Because there are 2.2 kg per pound, multiply the value in kilograms by 2.2 to obtain pounds. Do the same for the standard deviation and the confidence interval.

(e) Test the null hypothesis that the mean weight gain is 16 lb. Be sure to specify the null and alternative hypotheses, the test statistic with degrees of freedom, and the P- value. What do you conclude?

(f) Write a short paragraph explaining your results.

Purchase this Solution

Solution Summary

An analysis of food intake and weight gain is analyzed in statistical analysis is examined.

Solution Preview

Please refer to the attachment for the solutions.

Food intake and weight gain. If we increase our food intake, we generally gain weight. Nutrition scientists can calculate the amount of weight gain that would be associated with a given increase in calories. In one study, 16 non-obese adults, aged 25 to 36 years, were fed 1000 calories per day in excess of the calories needed to maintain a stable body weight. The subjects maintained this diet for 8 weeks, so they consumed a total of 56,000 extra calories. 12 According to theory, 3500 extra calories will translate into a weight gain of 1 pound. Therefore, we expect each of these subjects to gain 56,000/ 3500 = 16 pounds (lb). Here are the weights before and after the 8- week period expressed in kilograms (kg):

Subject 1 2 3 4 5 6 7 8
Weight before 55.7 54.9 59.6 62.3 74.2 75.6 70.7 53.3
Weight after 61.7 58.8 66.0 66.2 79.0 82.3 74.3 ...

Solution provided by:
Education
  • MSc, Osmania University
  • MSc, Indian Institute of Technology - Roorkee (I.I.T.-ROORKEE)
  • BSc, Banaras Hindu University
Recent Feedback
  • "Very fast turnaround. Excellent communication! Much appreciated!"
  • "excellent"
  • "excellent"
  • "excellent work"
  • "Fantastic..great solution and very well explained!!!!"
Purchase this Solution


Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.