A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample offemale workers, 264 had BMIS of less than 25, 158 had BMIS that were at least 25 but less than 30, and 122 had BMIS exceeding 30. Is there compelling evidence for concluding that more than 20% of theindividuals in the sampled population are obese?In USE SALT(a) State the appropriate hypotheses with a significance level of 0.05.Ho: p = 0.20Ha: p < 0.20Но: р> 0.20H2: p = 0.20Ho: p = 0.20Ha: p + 0.20О Но: р 3D 0.20H: p > 0.20Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)z =P-value =What can you conclude?O Reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese.O Do not reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese.O Do not reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese.Reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese. (c) What is the probability of not concluding that more than 20% of the population is obese when the actual percentage of obese individuals is 24%? (Round your answer to four decimal places.)

Name: A common characterization of obese individuals is that their body mas
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample offemale workers, 264 had BMIS of less t

Math

Statistics

A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample female workers, 264 had BMIS of less than 25, 158 had BMIS that were at least 25 but less than 30, and 122 had BMIS exceeding 30. Is there compelling evidence for concluding that more than 20% of the Individuals in the sampled population are obese? n USE SALT (a) State the appropriate hypotheses with a significance level of 0.05. O Ho: p = 0.20 Haip < 0.20 O Ho: p > 0.20 Hgip = 0.20 O Ho: p = 0.20 Hip # 0.20 O Ho: p = 0.20 н; р> 0.20 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) p-value - What can you conclude? O Reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese.

A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample female workers, 264 had BMIS of less than 25, 158 had BMIS that were at least 25 but less than 30, and 122 had BMIS exceeding 30. Is there compelling evidence for concluding that more than 20% of the Individuals in the sampled population are obese? n USE SALT (a) State the appropriate hypotheses with a significance level of 0.05. O Ho: p = 0.20 Haip < 0.20 O Ho: p > 0.20 Hgip = 0.20 O Ho: p = 0.20 Hip # 0.20 O Ho: p = 0.20 н; р> 0.20 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) p-value - What can you conclude? O Reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Given a normally distributed data, what is the area of the region less than one standard deviationabove the mean and more than three standard deviations above the mean?
The mean score and standard deviation of the test scores of students in Section 208 of a statistics course are 25.4 and 4.85 respectively while the mean score and standard deviation of the test scores of students in Section 209 in the course are 22.3 and 4.85 respectively. a) Which section did better on average? b) In which section are students scores less varied ?
Why would the null hypothesis not be the mean lifespan of sexually inactive males (62.5)?
Bone mineral density (BMD) is a measure of bone strength. Studies show that BMD declines after age 45. The impact of exercise may increase BMD. A random sample of 59 women between the ages of 41 and 45 with no major health problems were studied. The women were classified into one of two groups based upon their level of exercise activity: walking women and sedentary women. The 39 women who walked regularly had a mean BMD of 5.96 with a standard deviation of 1.22. The 20 women who are sedentary had a mean BMD of 4.41 with a standard deviation of 1.02. Which of the following inference procedures could be used to estimate the difference in the mean BMD for these two types of women
Suppose the total weight of passengers and luggage on an airline flight is normally distributed with mean 8914 and standard deviation 32 What is the 2.28th percentile of total passenger weight
According to a study, a cup of coffee contains an average of 118 milligrams (mg) of caffeine, with the amount poer cup ranging from 56 to 187 mg. Suppose you want to repeat the experiment in prder to obtain an estimate of the mean caffeine content in a cup of coffee correct to within 7 mg with 99% confidence. How many cups of coffee would have to be included in your sample? The experiment must sample cups of coffee in order to estimate the mean caffeine content in a cup of coffee correct to within 7 mg with 99% confidence. Round up to the nearest whole number.)
A survey among freshmen at a certain university revealed that the number of hours spent studying the week before final exams was normally distributed with mean 25 and standard deviation 9. Between what two values are the middle 80% of the hours spent studying?
A particular IQ test is standardized to a Normal model, with a mean of 80 and a standard deviation of 8. A group of 8,000 people had participated in a study based on IQ. Using the Empirical rule determine about how many of them should have IQ scores more than 72?
what is the minimum pregnancy length that can be in the top 8% of pregnancy given a mean of 265 and a standard deviation of 12
What is the standard z value corresponding to the sample mean 120 in a distribution with a mass mean of 60 and a standard deviation of 4?
If batteries have lives that are normally distribute with mean 2, 800 hours and standard deviation 400 hours, using the 68-95-99.7 rule to approximate the percentage of batteries having a life less than 3, 600 hours.
Example 19.13 A company used three different methods of advertising its product in three cities. It later found the increased sales (in thousand rupees) in identical retail outlets in the three cities as follows: City A: City B: City C: 70 58 60 45 55 62 89 72 65 57 48 55 75 68 45 52 63 53 59 71 70 63 60 58 75