2. It is claimed that the average age of working students in a certainuniversity is 35 years. A researcher selected a random sample of 25working students. The sample mean of their ages resulted to 32 yearswith a standard deviation of 10 years. Does this mean that the averageage of the working students is different from 35 years? Use 0.05 level ofsignificance and assume normality in the population.Step1. Null & Alternative hypothesisStep 2. Level of Significance: 0.05Step 3. Compute for the test statisticStep 4. Determine the CriticalValued. df= n-1 x-Pt=-s√nStep 5. Conclusione. Critical Value: 2.064f. Normal Curve:

According to policy we answer 3 part kindly repost for remaining.

Answered: 2. It is claimed that the average age…

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

A researcher wants to test the claim that the average height of adult men in a certain population is equal to 68 inches. A random sample of 49 men is selected and the sample mean height is found to be 67 inches with a standard deviation of 3 inches. Test the hypothesis at a significance level of 0.05.
Suppose you are a quality control manager at a manufacturing company that produces light bulbs. The company has recently made changes to the manufacturing process, and you want to investigate whether these changes have had a significant impact on the average lifespan of the bulbs. You collect a random sample of 30 light bulbs produced under the new process and find that the sample mean lifespan is 1200 hours with a sample standard deviation of 100 hours. Additionally, you collect a random sample of 35 light bulbs produced under the old process and find that the sample mean lifespan is 1180 hours with a sample standard deviation of 90 hours. Assuming that the population standard deviations are unknown but equal, test at a 5% significance level that the average lifespan of the light bulb has changed with the new manufacturing process. NOT FOR MARKS, just a book sample question
A textile fiber manufacturer is investigating a new drapery yam, which the company claims has a mean thread elongation of 12 kilograms with a standard deviation of 0.5 kilograms. The company wishes to test the hypothesis using a random sample of four specimens. Identify the appropriate hypotheses test. a. Test on Mean, Variance Known b. Test on Variance and Standard Deviation c. Test on Population Proportion d. Test on Mean, Variance Unknown
Suppose the mean height of women age 20 years or older in a certain country is 62.2 inches. One hundred randomly selected women in a certain city had a mean height of 61.7 inches. At the 1% significance level, do the data provide sufficient evidence to conclude that the mean height of women in the city differs from the national mean? Assume that the population standard deviation of the heights of women in the city is 3.9 inches. Set up the hypotheses for the one-mean z-test. H0: μ (≠, >, <, =) ________ppmHa: μ (≠, >, <, =) _________ppm Compute the value of the test statistic.z=__________(Round to two decimal places as needed.) Determine the critical value(s). Select the correct choice below and fill in the answer box within your choice. (Round to two decimal places as needed.) A. The critical value is zα=____________ B. The critical values are ±zα/2=±____________ C. The critical value is −zα=___________
You are the manager of a restaurant that delivers pizza to college dormitory rooms. You have just changed your delivery process in an effort to reduce the mean time between the order and completion of delivery from the current 25 minutes. A sample of 36 orders using the new delivery process yields a sample mean of 22.4 minutes and a sample standard deviation of 6 minutes. Perform a hypothesis test to determine if there’s evidence that the population mean delivery time has been reduced below the previous population mean value of 25 minutes by answering the following questions: (a) What are the null and alternate hypotheses for this test? (b) What is the value of the test statistic for this test? (c) Using the critical value approach, at the 0.05 level of significance, what is the decision rule? (d) What is your conclusion in context of the problem? (Answer this question in a complete sentence(s) and include why, referring to the decision rule.) (e) Using the p-value approach, at the…
According to a city's estimate, people on average arrive 1.5 hours early for domestic flights. The population standard deviation is known to be 0.5 hours. A researcher wanted to check if this is true so he took a random sample of 50 people taking domestic flights and found the mean time to be 2.0 hours early. At the 1% significance level, can you conclude that the amount of time people are early for domestic flights is more than what the city claims. Will you reject or not reject the null hypothesis and what is your conclusion in words? O Reject the null hypothesis; the city's claim is true. O Do not reject the null hypothesis; the city's claim is false and people arrive earlier than the city claims. O Reject the null hypothesis; the city's claim is false and people arrive earlier than the city claims. O Do not reject the null hypothesis; the city's claim is true.
Tesla claims that it’s latest battery will take only 1 hour to recharge and the battery will last more than double the time of a normal battery. On average, their battery lasts for 70 months. A research group wanted to test that claim. They took a sample of 50 batteries and they found that on average a Tesla battery would last 67 months with a standard deviation of 3.5 months. Using a 3% significance level can you conclude that the mean life of all the Tesla batteries is less than 70 months. (Use the P values approach)
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
last year the average age of students attending fremont college was 21.3 years. this semester, in order to meet the needs of the older students, more classes were scheduled during evening, and weekend hours. has the average age of the students at freemont college increased this semester? to answer this question, a random sample of 64 students enrolled this semester was studied. the average age of these students was 22.1 years with sample standard deviation of 2.7 years. Test the hypothesis that the average age of students this semester is higher than it was last year. Test at 0.01 level of significance . FInd the following: Computed Value: Tabular Value: Conclusion:
A researcher selected a sample of 156 former student leaders from a list of graduates of a large university. She discovered that it had taken an average of 4.97 years for the graduates to finish their degrees, with a standard deviation of 1.23. The average for the entire student body is 4.56 years. Is the difference statistically significant? Alpha = 0.05; two-tailed test.
The average undergraduate cost for tuition, fees, and room and board for two-year institutions last year was $14,124. The following year, a random sample of 20 two-year institutions had a mean of $17,124 and a standard deviation of $3700. Is there sufficient evidence at the alpha level of 0.05 to conclude that the mean cost has increased. Show 6 steps of hypothesis
Suppose that you want to test the hypothesis that mothers with low socioeconomic status (SES) deliver babies whose birthweights are lower than “normal” at the 5% significance level. To test this hypothesis, you want to conduct a study in which you collect data from full-term live-born deliveries from various maternity wards of hospitals in low SES areas. It is assumed that the standard deviation of birthweights is 24 oz. A national survey has shown that “normal” birthweight is 120 oz. You want to consider being able to detect differences of 5 oz, 10 oz, or 15 oz below normal birthweight. You decide to construct a power curve for each one of these differences where you look at power as a function of sample size. These three power curves are provided below. 1. Match each curve with its correct label regarding birthweight differences (5, 10, or 15 oz). 2. What is the standardized effect size if the difference of interest is 10 oz below normal birthweight?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS