A diet doctor claims Australians are, on average, overweight by more than 10kg. To test this claim, a random sample of 100 Australians were weighed and the difference between their actual weight and their ideal weight was calculated and recorded.
Question
A diet doctor claims Australians are, on average, overweight by more than 10kg. To test this claim, a random sample of 100 Australians were weighed and the difference between their actual weight and their ideal weight was calculated and recorded.
Solution
You haven't provided a specific question to answer. However, if you're looking to conduct a hypothesis test based on this information, here are the steps you would follow:
-
State the Hypotheses: The null hypothesis could be that Australians are not overweight by more than 10kg on average (H0: μ ≤ 10), and the alternative hypothesis would be that Australians are overweight by more than 10kg on average (H1: μ > 10).
-
Choose a Significance Level: This is typically 0.05, meaning that you are willing to accept a 5% chance of rejecting the null hypothesis when it is true.
-
Calculate the Test Statistic: This would be done by taking the sample mean weight difference, subtracting the hypothesized mean (10kg), and dividing by the standard error of the mean. The standard error of the mean is the standard deviation of the sample divided by the square root of the sample size.
-
Determine the P-Value: The P-value is the probability of observing a test statistic as extreme as the one calculated (or more extreme) assuming the null hypothesis is true. You would typically use a statistical software or a table to find this value.
-
Make a Decision: If the P-value is less than the significance level, you would reject the null hypothesis and conclude that Australians are, on average, overweight by more than 10kg. If the P-value is greater than the significance level, you would not reject the null hypothesis.
Remember, failing to reject the null hypothesis does not prove it is true. It simply means that there is not enough evidence to support the alternative hypothesis.
Similar Questions
Almost 70% of Americans today are either overweight or obese, but only 34% think they weigh too much. This is in contrast to 1990, when 54% of Americans were overweight or obese and 46% reported being at least somewhat overweight. In other words, the gap between what we weigh and what we think we weigh is getting bigger.Epidemiologists argue that this discrepancy can be partly explained by the widespread resetting of norms regarding "normal weight" and "obesity." As close friends, coworkers, and family members gain weight, one's concept of what a body of acceptable weight looks like becomes modified. What was once considered overweight is now considered the norm, if only because it is so common (Figure 1).Figure 1 Actual vs. ideal weight (in pounds) for Americans, 1990–2015This sheds new light on recent efforts to stop the obesity epidemic in America. Experts have long contended that awareness efforts don't work because overweight individuals are already aware that they are overweight and that obesity causes health problems. These latest data suggest that many overweight Americans don't even realize that they are overweight. Epidemiologists are now suggesting that a more successful strategy to get Americans to lose weight might be to first succeed at convincing them that being overweight is not normal. Question 16According to the last paragraph, the challenge faced by epidemiologists is:A.encouraging social stigma.B.overriding social sanctions.C.reorganizing social networks.D.resetting social norms.Submit
When it comes to body weight, Americans stand out. Most visitors to the United States, no matter where they go across this vast country, comment on the size of many Americans. In fact, these impressions are backed by numerous statistics. For example, the average 5'4" American weighs 162 pounds, or 15 pounds more than the average person of the same height from Western or Central Europe. Another comparison: At 150 pounds, the average 5'4" American woman is 24 pounds heavier than her Japanese counterpart. Why are Americans so heavy? Some blame the American diet. Certainly it’s true that Americans eat more high-fat foods – meat, dairy products, and processed food – and fewer grains and vegetables than people in other countries. But fat isn’t the whole story. Lifestyle factors – including the tendency for Americans to drive rather than walk or ride a bicycle to work, to snack throughout the day, and to have so many labor-saving devices in the home – appear to contribute to the probl
Fill in the blanks: According to the World Health Organization, over ___ of adults in the world are___, and approximately ___ are ___.Question 7Answera.1.5 billion, overweight / 400 million, obese.b.400 million, obese / 1.5 billion, overweight.
The following probabilities are based on data collected from U.S. adults during the National Health Interview Survey 2005–2007. Individuals are placed into a weight category based on weight, height, gender and age.Underweight Healthy Weight Overweight (Not Obese) ObeseProbability 0.019 0.377 0.35 0.254Based on this data, what is the probability that a randomly selected U.S. adult weighs more than the healthy weight range? 0.0889 0.35 0.254 0.604Question 5Select one answer.10 pointsLet A and B be two disjoint events such that P(A) = 0.20 and P(B) = 0.60.What is P(A and B)? 0 0.12 0.68 0.80Question 6Select one answer.10 pointsIn 2012, researchers working with a very large population of health records found that 9.3% of all Americans had diabetes (source: National Diabetes Statistics Report, 2014). Suppose a medical researcher randomly selects two individuals from a large population.Let A represent the event “the first individual has diabetes.”Let B represent the event “the second individual has diabetes.”True or false? A and B are independent events. True FalseQuestion 7Select one answer.10 pointsAn engineering school reports that 55% of its students were male (M), 40% of its students were between the ages of 18 and 20 (A), and that 25% were both male and between the ages of 18 and 20.What is the probability of a random student being male or between the ages of 18 and 20? 0.22 0.25 0.70 0.95Question 8Select one answer.10 pointsAccording to the information that comes with a certain prescription drug, when taking this drug, there is a 20% chance of experiencing nausea (N) and a 50% chance of experiencing decreased sexual drive (D). The information also states that there is a 15% chance of experiencing both side effects.What is the probability of experiencing neither of the side effects? 0.10 0.40 0.45 0.70 0.85Question 9Select one answer.10 pointsAn engineering school reports that 55% of its students were male (M), 40% of its students were between the ages of 18 and 20 (A), and that 25% were both male and between the ages of 18 and 20.What is the probability of a random student being female between the ages of 18 and 20? Assume P(F) = P(not M). 0.15 0.16 0.30 0.40Question 10Select one answer.10 pointsIn a certain liberal arts college with about 10,000 students, 40% are males. If two students from this college are selected at random, what is the probability that they are both males? 0 0.16 0.80 0.64 0.25
Around the world, approximately ______ percent of adults have overweight or obesity.Multiple choice question.10204060
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.