Question

Calculating percentiles: A data set consists of the ages of 87 female actors at the time...

Calculating percentiles: A data set consists of the ages of 87 female actors at the time they won an academy award.

a. One of the winners was 50 years old, and she was older than 77 of the other winners. what is the percentile of the age of 50? b.One of the women was 25 years old and she was older than 5 of the winners. What is the percentile of the age 25? C. one of the women was 80 years old and she was older than 86 of the other winners. What is the percentile of the age 80?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

a) The Percentile of the age of 50 years

Percentile of the data = (No. of women less than 50years/ Total number of women) * 100

= (77/87)*100 = 88.51

Answer : Percentile of the age of 50 is 86

b)

The Percentile of the age of 25 years

Percentile of the data = (No. of women less than 25 years/ Total number of women) * 100

= (5/87)*100 =5.75

Answer : Percentile of the age of 25 is 6

c)

The Percentile of the age of 80 years

Percentile of the data = (No. of women less than 80 years/ Total number of women) * 100

=(86/87)*100 = 98.85

Answer: Percentile of the age of 80 is 99

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Listed below are ages of actresses and actors at the time that they won an award...
Listed below are ages of actresses and actors at the time that they won an award for the categories of Best Actress and Best Actor. Use the sample data to test for a difference between the ages of actresses and actors when they win the award. Use a 0.10 significance level. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Actress's Age 17 25 28 57 27...
3. Listed below are ages of actresses and actors at the time that they won an...
3. Listed below are ages of actresses and actors at the time that they won an award for the categories of Best Actress and Best Actor. Use the sample data to test for a difference between the ages of actresses and actors when they win the award. Use a 0.05 significance level. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Actress_age       Actor_age 16           47 32           46...
The following data lists the ages of a random selection of actresses when they won an...
The following data lists the ages of a random selection of actresses when they won an award in the category of Best​ Actress, along with the ages of actors when they won in the category of Best Actor. The ages are matched according to the year that the awards were presented. Complete parts​ (a) and​ (b) below. Actress left parenthesis years right parenthesisActress (years) 31 31 31 27 39 24 25 42 27 35 Actor left parenthesis years right parenthesisActor...
The following data lists the ages of a random selection of actresses when they won an...
The following data lists the ages of a random selection of actresses when they won an award in the category of Best​ Actress, along with the ages of actors when they won in the category of Best Actor. The ages are matched according to the year that the awards were presented. Complete parts​ (a) and​ (b) below. Actress left parenthesis years right parenthesis 29 31 32 31 33 26 24 44 31 35 Actor left parenthesis years right parenthesis 62...
A. J. is a 20-year-old Caucasian female who visited her gynecologist complaining of abdominal pain, pelvic...
A. J. is a 20-year-old Caucasian female who visited her gynecologist complaining of abdominal pain, pelvic pain, and pain in the small of her back, which had begun to worsen. She also felt bloated and was having frequent problems with indigestion and gas. In addition, she was tired all the time and rarely went to the gym anymore. A. J.'s medical history showed her to be a healthy and athletic female. She admitted to drinking occasionally at social events but...
The Women’s Health Nurse Practitioner evaluated Sara, a 17-year old female. Sara has not had a...
The Women’s Health Nurse Practitioner evaluated Sara, a 17-year old female. Sara has not had a menstrual period for 6 months. Her history reveals that menarche occurred at the age of 12 years, and her menses were regular at 28-day intervals until they became irregular 1 year ago. Sara is a member of her high school gymnastics team. She has been spending long hours training with the team, as she hopes to get a gymnastic scholarship at her “dream” university...
Mrs. S, a 78-year-old female, presents to the clinic complaining of difficulty catching her breath and...
Mrs. S, a 78-year-old female, presents to the clinic complaining of difficulty catching her breath and persistent indigestion. She is a well-established patient at the clinic. With the exception of today’s visit, she describes her overall health as good. Her medical history includes hypertension, dyslipidemia (both well controlled with medications and lifestyle management), and osteoarthritis. Her surgical history consists of a Cesarean section 40 years ago and a total right knee replacement 5 years ago without complications. She is recently...
For the rest of the lab, you will make the assumption that your data is approximately...
For the rest of the lab, you will make the assumption that your data is approximately normally distributed. Use Excel to answer the following questions for the Net Sales data. Copy and paste the output below, don’t include as a separate file, make sure your x axis is labelled properly. You will have to “insert” your graphs in the appropriate places below. Please don’t upload more than one file for me to open and grade, your entire lab should be...
1. What are the requirements for successful price discrimination? Does this type of dry cleaning qualify?...
1. What are the requirements for successful price discrimination? Does this type of dry cleaning qualify? 2. What are other examples of price discrimination? 3. The effectiveness of price discrimination is a different question than whether businesses should be able to discriminate by price. Is this an issue that deserves regulation, or is it best left to the market? Why Women Pay More From dry cleaning to haircuts, women often pay more than men due to gender pricing. Find out...
2. SECURING THE WORKFORCE Diversity management in X-tech, a Japanese organisation This case is intended to...
2. SECURING THE WORKFORCE Diversity management in X-tech, a Japanese organisation This case is intended to be used as a basis for class discussion rather than as an illustration of the effective or ineffective handling of an administrative situation. The name of the company is disguised. INTRODUCTION In light of demographic concerns, in 2012, the Japanese government initiated an effort to change the work environment in order to secure the workforce of the future. Japan is world renowned for its...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT