Path To College Mathematics
1st Edition
ISBN: 9780134654409
Author: Martin-Gay, K. Elayn, 1955-
Publisher: Pearson,
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 7.4, Problem 13ES
To determine
To find the probability that the spinner stops on the given color.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The average miles per gallon for a sample of 40 cars of model SX last year was 32.1, with a population standard deviation of 3.8. A sample of 40 cars from this year’s model SX has an average of 35.2 mpg, with a population standard deviation of 5.4.
Find a 99 percent confidence interval for the difference in average mpg for this car brand (this year’s model minus last year’s).Find a 99 percent confidence interval for the difference in average mpg for last year’s model minus this year’s. What does the negative difference mean?
A special interest group reports a tiny margin of error (plus or minus 0.04 percent) for its online survey based on 50,000 responses. Is the margin of error legitimate? (Assume that the group’s math is correct.)
Suppose that 73 percent of a sample of 1,000 U.S. college students drive a used car as opposed to a new car or no car at all.
Find an 80 percent confidence interval for the percentage of all U.S. college students who drive a used car.What sample size would cut this margin of error in half?
Chapter 7 Solutions
Path To College Mathematics
Ch. 7.1 - Prob. 1ESCh. 7.1 - Prob. 2ESCh. 7.1 - Prob. 3ESCh. 7.1 - Prob. 4ESCh. 7.1 - Prob. 5ESCh. 7.1 - Prob. 6ESCh. 7.1 - Prob. 7ESCh. 7.1 - Prob. 8ESCh. 7.1 - Prob. 9ESCh. 7.1 - Prob. 10ES
Ch. 7.1 - Prob. 11ESCh. 7.1 - Prob. 12ESCh. 7.1 - Prob. 13ESCh. 7.1 - Prob. 14ESCh. 7.1 - Prob. 15ESCh. 7.1 - Prob. 16ESCh. 7.1 - Prob. 17ESCh. 7.1 - Prob. 18ESCh. 7.1 - Prob. 19ESCh. 7.1 - Suppose a 6-sided die is tossed twice. (This is a...Ch. 7.1 - Prob. 21ESCh. 7.1 - Prob. 22ESCh. 7.1 - Prob. 23ESCh. 7.1 - Prob. 24ESCh. 7.1 - Solve. Current license plates in California now...Ch. 7.1 - Prob. 26ESCh. 7.1 - Although there are exceptions, the call signs for...Ch. 7.1 - Prob. 28ESCh. 7.1 - Prob. 29ESCh. 7.1 - Prob. 30ESCh. 7.1 - Prob. 31ESCh. 7.1 - Prob. 32ESCh. 7.1 - Prob. 33ESCh. 7.1 - Prob. 34ESCh. 7.1 - Prob. 35ESCh. 7.1 - Prob. 36ESCh. 7.1 - Prob. 37ESCh. 7.1 - Prob. 38ESCh. 7.1 - Prob. 39ESCh. 7.1 - Prob. 40ESCh. 7.1 - Prob. 41ESCh. 7.1 - For security purpose, a company is starting to...Ch. 7.2 - Prob. 1ESCh. 7.2 - Prob. 2ESCh. 7.2 - Prob. 3ESCh. 7.2 - Prob. 4ESCh. 7.2 - Prob. 5ESCh. 7.2 - Prob. 6ESCh. 7.2 - Prob. 7ESCh. 7.2 - Prob. 8ESCh. 7.2 - Prob. 9ESCh. 7.2 - Prob. 10ESCh. 7.2 - Prob. 11ESCh. 7.2 - Prob. 12ESCh. 7.2 - Prob. 13ESCh. 7.2 - Prob. 14ESCh. 7.2 - Prob. 15ESCh. 7.2 - Prob. 16ESCh. 7.2 - Prob. 17ESCh. 7.2 - Prob. 18ESCh. 7.2 - Prob. 19ESCh. 7.2 - Prob. 20ESCh. 7.2 - Prob. 21ESCh. 7.2 - Prob. 22ESCh. 7.2 - Prob. 23ESCh. 7.2 - Prob. 24ESCh. 7.2 - Prob. 25ESCh. 7.2 - Prob. 26ESCh. 7.2 - Prob. 27ESCh. 7.2 - Prob. 28ESCh. 7.2 - Prob. 29ESCh. 7.2 - Prob. 30ESCh. 7.2 - Prob. 31ESCh. 7.2 - Prob. 32ESCh. 7.2 - Prob. 33ESCh. 7.2 - Prob. 34ESCh. 7.2 - Prob. 35ESCh. 7.2 - Prob. 36ESCh. 7.2 - Prob. 37ESCh. 7.2 - Prob. 38ESCh. 7.2 - Prob. 39ESCh. 7.2 - Prob. 40ESCh. 7.2 - Solve. Some of these exercises may be solved using...Ch. 7.2 - Prob. 42ESCh. 7.2 - Prob. 43ESCh. 7.2 - Prob. 44ESCh. 7.2 - Prob. 45ESCh. 7.2 - Prob. 46ESCh. 7.2 - Prob. 47ESCh. 7.2 - Prob. 48ESCh. 7.2 - Prob. 49ESCh. 7.2 - Prob. 50ESCh. 7.2 - Prob. 51ESCh. 7.2 - Prob. 52ESCh. 7.2 - Prob. 53ESCh. 7.2 - Prob. 54ESCh. 7.2 - Prob. 55ESCh. 7.2 - Prob. 56ESCh. 7.2 - Prob. 57ESCh. 7.2 - Prob. 58ESCh. 7.2 - Prob. 59ESCh. 7.2 - Prob. 60ESCh. 7.2 - Is it possible to evaluate P65 Explain why or why...Ch. 7.2 - Prob. 62ESCh. 7.2 - Prob. 63ESCh. 7.2 - Prob. 64ESCh. 7.2 - Explain why P55 can be calculated but is not...Ch. 7.2 - Prob. 66ESCh. 7.2 - Prob. 67ESCh. 7.2 - Prob. 68ESCh. 7.3 - Prob. 1ESCh. 7.3 - Evaluate each combination. See Examples 2 through...Ch. 7.3 - Prob. 3ESCh. 7.3 - Prob. 4ESCh. 7.3 - Prob. 5ESCh. 7.3 - Prob. 6ESCh. 7.3 - Prob. 7ESCh. 7.3 - Prob. 8ESCh. 7.3 - Prob. 9ESCh. 7.3 - Prob. 10ESCh. 7.3 - Prob. 11ESCh. 7.3 - Prob. 12ESCh. 7.3 - Prob. 13ESCh. 7.3 - Prob. 14ESCh. 7.3 - Prob. 15ESCh. 7.3 - Prob. 16ESCh. 7.3 - Prob. 17ESCh. 7.3 - Prob. 18ESCh. 7.3 - Prob. 19ESCh. 7.3 - Prob. 20ESCh. 7.3 - Prob. 21ESCh. 7.3 - Prob. 22ESCh. 7.3 - Prob. 23ESCh. 7.3 - Prob. 24ESCh. 7.3 - Prob. 25ESCh. 7.3 - Prob. 26ESCh. 7.3 - Prob. 27ESCh. 7.3 - Prob. 28ESCh. 7.3 - Prob. 29ESCh. 7.3 - Prob. 30ESCh. 7.3 - Prob. 31ESCh. 7.3 - Prob. 32ESCh. 7.3 - Prob. 33ESCh. 7.3 - Prob. 34ESCh. 7.3 - Prob. 35ESCh. 7.3 - Prob. 36ESCh. 7.3 - Prob. 37ESCh. 7.3 - Prob. 38ESCh. 7.3 - Prob. 39ESCh. 7.3 - Prob. 40ESCh. 7.3 - Prob. 41ESCh. 7.3 - Prob. 42ESCh. 7.3 - Prob. 43ESCh. 7.3 - Prob. 44ESCh. 7.3 - Prob. 45ESCh. 7.3 - Prob. 46ESCh. 7.3 - Prob. 47ESCh. 7.3 - Prob. 48ESCh. 7.3 - Prob. 49ESCh. 7.3 - Prob. 50ESCh. 7.3 - Prob. 51ESCh. 7.3 - Prob. 52ESCh. 7.3 - Prob. 53ESCh. 7.3 - Prob. 54ESCh. 7.3 - Prob. 55ESCh. 7.3 - Prob. 56ESCh. 7.3 - Prob. 57ESCh. 7.3 - Prob. 58ESCh. 7.3 - Prob. 59ESCh. 7.3 - Prob. 60ESCh. 7.3 - Prob. 61ESCh. 7.3 - Prob. 62ESCh. 7.3 - Prob. 63ESCh. 7.3 - Prob. 64ESCh. 7.3 - Prob. 65ESCh. 7.3 - Prob. 66ESCh. 7.3 - Prob. 67ESCh. 7.3 - Prob. 1IRCh. 7.3 - Prob. 2IRCh. 7.3 - Prob. 3IRCh. 7.3 - Prob. 4IRCh. 7.3 - Prob. 5IRCh. 7.3 - Prob. 6IRCh. 7.3 - Prob. 7IRCh. 7.3 - Prob. 8IRCh. 7.3 - Prob. 9IRCh. 7.3 - Prob. 10IRCh. 7.3 - Prob. 11IRCh. 7.3 - Prob. 12IRCh. 7.3 - Prob. 13IRCh. 7.3 - Prob. 14IRCh. 7.3 - Prob. 15IRCh. 7.4 - Prob. 1ESCh. 7.4 - Prob. 2ESCh. 7.4 - Prob. 3ESCh. 7.4 - Prob. 4ESCh. 7.4 - Prob. 5ESCh. 7.4 - Prob. 6ESCh. 7.4 - Prob. 7ESCh. 7.4 - Prob. 8ESCh. 7.4 - Prob. 9ESCh. 7.4 - Prob. 10ESCh. 7.4 - Prob. 11ESCh. 7.4 - Prob. 12ESCh. 7.4 - Prob. 13ESCh. 7.4 - Prob. 14ESCh. 7.4 - Prob. 15ESCh. 7.4 - Prob. 16ESCh. 7.4 - Prob. 17ESCh. 7.4 - Prob. 18ESCh. 7.4 - Prob. 19ESCh. 7.4 - Prob. 20ESCh. 7.4 - Prob. 21ESCh. 7.4 - Prob. 22ESCh. 7.4 - Prob. 23ESCh. 7.4 - Prob. 24ESCh. 7.4 - Prob. 25ESCh. 7.4 - Prob. 26ESCh. 7.4 - Prob. 27ESCh. 7.4 - Prob. 28ESCh. 7.4 - Prob. 29ESCh. 7.4 - Prob. 30ESCh. 7.4 - Prob. 31ESCh. 7.4 - Prob. 32ESCh. 7.4 - Prob. 33ESCh. 7.4 - Prob. 34ESCh. 7.4 - Prob. 35ESCh. 7.4 - Prob. 36ESCh. 7.4 - Prob. 37ESCh. 7.4 - Prob. 38ESCh. 7.4 - Prob. 39ESCh. 7.4 - Prob. 40ESCh. 7.4 - Prob. 41ESCh. 7.4 - Prob. 42ESCh. 7.4 - Prob. 43ESCh. 7.4 - Prob. 44ESCh. 7.4 - Prob. 45ESCh. 7.4 - Prob. 46ESCh. 7.4 - Prob. 47ESCh. 7.4 - Prob. 48ESCh. 7.4 - Prob. 49ESCh. 7.4 - Prob. 50ESCh. 7.4 - Prob. 51ESCh. 7.4 - Prob. 52ESCh. 7.4 - Prob. 53ESCh. 7.4 - Prob. 54ESCh. 7.4 - Prob. 55ESCh. 7.4 - Prob. 56ESCh. 7.4 - Prob. 57ESCh. 7.4 - Prob. 58ESCh. 7.4 - Prob. 59ESCh. 7.4 - Prob. 60ESCh. 7.4 - Prob. 61ESCh. 7.4 - Prob. 62ESCh. 7.4 - Prob. 63ESCh. 7.4 - Prob. 64ESCh. 7.4 - Prob. 65ESCh. 7.4 - Prob. 66ESCh. 7.4 - Prob. 67ESCh. 7.4 - Prob. 68ESCh. 7.4 - Prob. 69ESCh. 7.4 - Prob. 70ESCh. 7.4 - Prob. 71ESCh. 7.4 - Prob. 72ESCh. 7.4 - Prob. 73ESCh. 7 - Prob. 1VCCh. 7 - Prob. 2VCCh. 7 - Prob. 3VCCh. 7 - Prob. 4VCCh. 7 - Prob. 5VCCh. 7 - Prob. 6VCCh. 7 - Prob. 7VCCh. 7 - Prob. 8VCCh. 7 - Prob. 9VCCh. 7 - Prob. 10VCCh. 7 - Prob. 11VCCh. 7 - Prob. 12VCCh. 7 - Prob. 13VCCh. 7 - Prob. 14VCCh. 7 - Prob. 15VCCh. 7 - Prob. 16VCCh. 7 - Prob. 17VCCh. 7 - Prob. 18VCCh. 7 - Prob. 19VCCh. 7 - Prob. 20VCCh. 7 - Prob. 21VCCh. 7 - Prob. 1RCh. 7 - Draw a tree diagram for each experiment. Then use...Ch. 7 - Prob. 3RCh. 7 - Prob. 4RCh. 7 - Prob. 5RCh. 7 - Prob. 6RCh. 7 - Prob. 7RCh. 7 - Prob. 8RCh. 7 - Prob. 9RCh. 7 - Prob. 10RCh. 7 - Prob. 11RCh. 7 - Prob. 12RCh. 7 - Prob. 13RCh. 7 - Prob. 14RCh. 7 - Prob. 15RCh. 7 - Prob. 16RCh. 7 - Prob. 17RCh. 7 - Prob. 18RCh. 7 - Prob. 19RCh. 7 - Prob. 20RCh. 7 - Prob. 21RCh. 7 - Prob. 22RCh. 7 - Prob. 23RCh. 7 - Prob. 24RCh. 7 - Prob. 25RCh. 7 - Prob. 26RCh. 7 - Prob. 27RCh. 7 - Prob. 28RCh. 7 - Prob. 29RCh. 7 - Prob. 30RCh. 7 - Prob. 31RCh. 7 - Prob. 32RCh. 7 - Prob. 33RCh. 7 - Prob. 34RCh. 7 - Prob. 35RCh. 7 - Prob. 36RCh. 7 - Prob. 37RCh. 7 - Prob. 38RCh. 7 - Prob. 39RCh. 7 - Prob. 40RCh. 7 - Prob. 41RCh. 7 - Prob. 42RCh. 7 - Prob. 43RCh. 7 - Prob. 44RCh. 7 - Prob. 45RCh. 7 - Prob. 46RCh. 7 - Prob. 47RCh. 7 - Prob. 48RCh. 7 - Prob. 49RCh. 7 - Prob. 50RCh. 7 - Prob. 51RCh. 7 - Prob. 52RCh. 7 - Prob. 53RCh. 7 - Prob. 54RCh. 7 - Prob. 55RCh. 7 - Prob. 56RCh. 7 - Prob. 57RCh. 7 - Prob. 58RCh. 7 - Prob. 59RCh. 7 - Prob. 60RCh. 7 - Prob. 61RCh. 7 - Prob. 62RCh. 7 - Prob. 63RCh. 7 - Prob. 64RCh. 7 - Prob. 65RCh. 7 - Prob. 66RCh. 7 - Prob. 67RCh. 7 - Prob. 68RCh. 7 - Prob. 69RCh. 7 - Prob. 70RCh. 7 - Prob. 71RCh. 7 - Prob. 72RCh. 7 - Prob. 73RCh. 7 - Prob. 74RCh. 7 - Prob. 1GRFTCh. 7 - Prob. 2GRFTCh. 7 - Prob. 3GRFTCh. 7 - Prob. 4GRFTCh. 7 - Prob. 5GRFTCh. 7 - Prob. 6GRFTCh. 7 - Prob. 7GRFTCh. 7 - Prob. 8GRFTCh. 7 - Prob. 9GRFTCh. 7 - Prob. 10GRFTCh. 7 - Prob. 11GRFTCh. 7 - Prob. 12GRFTCh. 7 - Prob. 13GRFTCh. 7 - Prob. 14GRFTCh. 7 - Prob. 1TCh. 7 - Prob. 2TCh. 7 - Prob. 3TCh. 7 - Prob. 4TCh. 7 - Prob. 5TCh. 7 - Prob. 6TCh. 7 - Prob. 7TCh. 7 - Prob. 8TCh. 7 - Prob. 9TCh. 7 - Prob. 10TCh. 7 - Prob. 11TCh. 7 - Prob. 12TCh. 7 - Prob. 13TCh. 7 - Prob. 14TCh. 7 - Prob. 15TCh. 7 - Prob. 16TCh. 7 - Prob. 17TCh. 7 - Prob. 18TCh. 7 - Prob. 19TCh. 7 - Prob. 20TCh. 7 - Prob. 21TCh. 7 - Prob. 22TCh. 7 - Prob. 23TCh. 7 - Prob. 24TCh. 7 - Prob. 25TCh. 7 - Prob. 26TCh. 7 - Prob. 27TCh. 7 - Prob. 28TCh. 7 - Prob. 29TCh. 7 - Prob. 30TCh. 7 - Prob. 31TCh. 7 - Prob. 1CRCh. 7 - Prob. 2CRCh. 7 - Prob. 3CRCh. 7 - Prob. 4CRCh. 7 - Prob. 5CRCh. 7 - Prob. 6CRCh. 7 - Prob. 7CRCh. 7 - Prob. 8CRCh. 7 - Prob. 9CRCh. 7 - Prob. 10CRCh. 7 - Prob. 11CRCh. 7 - Prob. 12CRCh. 7 - Prob. 13CRCh. 7 - Prob. 14CRCh. 7 - Prob. 15CRCh. 7 - Prob. 16CRCh. 7 - Prob. 17CRCh. 7 - Prob. 18CRCh. 7 - The Swiss Re Building, in London, is a unique...Ch. 7 - Prob. 20CRCh. 7 - Prob. 21CRCh. 7 - Prob. 22CRCh. 7 - Prob. 23CRCh. 7 - Prob. 24CRCh. 7 - Prob. 25CRCh. 7 - Prob. 26CRCh. 7 - Prob. 27CRCh. 7 - Prob. 28CRCh. 7 - Prob. 29CRCh. 7 - Prob. 30CRCh. 7 - Prob. 31CRCh. 7 - Prob. 32CR
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.Similar questions
- You want to compare the average number of tines on the antlers of male deer in two nearby metro parks. A sample of 30 deer from the first park shows an average of 5 tines with a population standard deviation of 3. A sample of 35 deer from the second park shows an average of 6 tines with a population standard deviation of 3.2. Find a 95 percent confidence interval for the difference in average number of tines for all male deer in the two metro parks (second park minus first park).Do the parks’ deer populations differ in average size of deer antlers?arrow_forwardSuppose that you want to increase the confidence level of a particular confidence interval from 80 percent to 95 percent without changing the width of the confidence interval. Can you do it?arrow_forwardA random sample of 1,117 U.S. college students finds that 729 go home at least once each term. Find a 98 percent confidence interval for the proportion of all U.S. college students who go home at least once each term.arrow_forward
- Suppose that you make two confidence intervals with the same data set — one with a 95 percent confidence level and the other with a 99.7 percent confidence level. Which interval is wider?Is a wide confidence interval a good thing?arrow_forwardIs it true that a 95 percent confidence interval means you’re 95 percent confident that the sample statistic is in the interval?arrow_forwardTines can range from 2 to upwards of 50 or more on a male deer. You want to estimate the average number of tines on the antlers of male deer in a nearby metro park. A sample of 30 deer has an average of 5 tines, with a population standard deviation of 3. Find a 95 percent confidence interval for the average number of tines for all male deer in this metro park.Find a 98 percent confidence interval for the average number of tines for all male deer in this metro park.arrow_forward
- Based on a sample of 100 participants, the average weight loss the first month under a new (competing) weight-loss plan is 11.4 pounds with a population standard deviation of 5.1 pounds. The average weight loss for the first month for 100 people on the old (standard) weight-loss plan is 12.8 pounds, with population standard deviation of 4.8 pounds. Find a 90 percent confidence interval for the difference in weight loss for the two plans( old minus new) Whats the margin of error for your calculated confidence interval?arrow_forwardA 95 percent confidence interval for the average miles per gallon for all cars of a certain type is 32.1, plus or minus 1.8. The interval is based on a sample of 40 randomly selected cars. What units represent the margin of error?Suppose that you want to decrease the margin of error, but you want to keep 95 percent confidence. What should you do?arrow_forwardLet v₁ = (2,-3,7,8), v2 = (3, 10, -6, 14), v3 = (0, 19, -2, 16), and v₁ = (9, -2, 1, 10). Is the set {V1, V2, V3, V4} a basis for R4? Of the two sets S = {(3x-5y, 4x + 7y, x+9y): x, y = R} and T = {2x-3y+z, -7x-3y²+z, 4x + 3z): x, y, z = R} which is a subspace of R3? (S, T, both, neither) Justify.arrow_forward
- Can you help me solve this?arrow_forwardFind a basis and dimension for the null space of the following matrix: 3 -2 0 7 -2 1-1 1 5 3 19-2 8 06 1 -2 -4 -5-6 -9 4-6 11 6 Find a basis and dimension for the column space of the same matrix (above).arrow_forward3. (i) Below is the R code for performing a X2 test on a 2×3 matrix of categorical variables called TestMatrix: chisq.test(Test Matrix) (a) Assuming we have a significant result for this procedure, provide the R code (including any required packages) for an appropriate post hoc test. (b) If we were to apply this technique to a 2 × 2 case, how would we adapt the code in order to perform the correct test? (ii) What procedure can we use if we want to test for association when we have ordinal variables? What code do we use in R to do this? What package does this command belong to? (iii) The following code contains the initial steps for a scenario where we are looking to investigate the relationship between age and whether someone owns a car by using frequencies. There are two issues with the code - please state these. Row3<-c(75,15) Row4<-c(50,-10) MortgageMatrix<-matrix(c(Row1, Row4), byrow=T, nrow=2, MortgageMatrix dimnames=list(c("Yes", "No"), c("40 or older","<40")))…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)AlgebraISBN:9781305071742Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
College AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
College Algebra
Algebra
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Probability & Statistics (28 of 62) Basic Definitions and Symbols Summarized; Author: Michel van Biezen;https://www.youtube.com/watch?v=21V9WBJLAL8;License: Standard YouTube License, CC-BY
Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=SkidyDQuupA;License: Standard YouTube License, CC-BY