Intro Howdy! I'm Professor Curtis of Aspire Mountain Academy here with more statistics homework help. Today we're going to learn how to use the Empirical Rule to derive proportions. Here's our problem statement: The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 246.2 and a standard deviation of 68.8 (all units are 1000 cells per microliter). Using the Empirical Rule find each approximate percentage below. Part A: What is the approximate percentage of women with platelet counts within one standard deviation of the mean, or between 177.4 and 315.0. Part B: What is the approximate percentage of women with platelet counts between 108.6 and 383.8? Part A So for this first part of the question, we want to know the approximate percentage of the data set that is within one standard deviation of the mean. To do that, we can just use the Empirical Rule. Here I have a graphic imported into Excel to help us understand the Empirical Rule. So within one standard deviation of the mean is 68% of the data. The key to using the Empirical Rule is that you have a bell-shaped distribution, which we clearly do here in the problem statement — “bell-shaped distribution.” So in a bell-shaped distribution, one standard deviation of the mean contains 68% of the data. So I'm just going to put 68 here. Fantastic! Part B Now, approximately what percentage of women in this group have platelet counts between 108.6 and 383.8? Well, this would be really easy if they gave us the number of standard deviations as they did in the previous part of the problem. But here they don't do that. So what we're going to have to do is figure out how many standard deviations are between these two numbers that they give us here.
To do that, I'm going to go to my calculator, subtract them to find the difference, and then divide by the standard deviation, which was listed here in the problem — “standard deviation of 68.8.” So I'm going to divide by 68.8. That gives me 4. So that tells me that each one of these values that's given here is 2 standard deviations from the mean, because if I go back to my Empirical Rule, notice within two standard deviations of the mean I've got one, two, three, four standard deviation units. So we're looking at 95% of the data in between those two numbers. So I'll put 95 here. Nice work! And that's how we do it at Aspire Mountain Academy. Be sure to leave your comments below and let us know how good a job we did or how we can improve. And if your stats teacher is boring or just doesn't care to help you learn stats, go to aspiremountainacademy.com where you can find out more about accessing our lecture videos or provide feedback on what you'd like to see. Thanks for watching, and we'll seeyou in the next video.
8 Comments
Tom
5/29/2019 08:50:38 pm
Great video, straight forward explanation and clear, really helped.
Reply
Aspire Mountain Academy
6/14/2019 08:14:45 pm
You're most welcome. Glad this helped. Let your friends know about us so we can help them also!
Reply
Sara
12/9/2019 01:39:42 am
Very helpful before I take my statistic final! Glad I came across your website!
Reply
6/18/2020 01:11:02 am
I wish all math teachers were like you!!!!!! i have learned so much thanks to you!!!!!
Reply
rachel
1/28/2021 06:43:17 pm
I am so happy I found this website! Helped me get a similar question correct! I will definitely be using these services more often (:
Reply
Zoë O'Kobrick
9/30/2022 04:49:58 pm
Hello, I love your happy personality! I struggle really bad with math and I am currently taking Statistics in college. I am having difficulty with understand and can't find any videos to show me how it's done. Can you please help me? Thank you
Reply
Kenneth W Harris
3/28/2023 04:07:50 am
Thank you very much made that much easier, Will be looking for your videos from here on out
Reply
Sison Astra
9/9/2023 05:22:43 am
Very helpful. Thank you
Reply
Leave a Reply. |
AuthorFrustrated with a particular MyStatLab/MyMathLab homework problem? No worries! I'm Professor Curtis, and I'm here to help. Archives
July 2020
|
Stats
|
Company |
|