306 Quantitative Reasoning Module 4 1. A card is drawn at random from a standard 52-card deck. Find the probability that the card is not a queen. Number of cards= 52 Number of queens = 4 Number of non-queens = 52- 4 = 48 Probability of drawing a non-queen is 48/52 or 12/13 2. Two fair dice are rolled. Find the probability that the sum of the two numbers is not greater than 5. Total number of possible combinations is 36, highlighted ones have totals of 5 or less. There are 10 of them. The probability is therefore, 10/36 or 5/18. 1-1 1-2 1-3 1-4 1-5 1-6 2-1 2-2 2-3 2-4 2-5 2-6 3-1 3-2 3-3 3-4 3-5 3-6 4-1 4-2 4-3 4-4 4-5 4-6 5-1 5-2 5-3 5-4 5-5 5-6 6-1 6-2 6-3 6-4 6-5 6-6 3. This spinner is spun 36 times. The spinner landed on A 6 times, on B 21 times, and on C 9 times. Compute the empirical probability that the spinner will land on B. Empirical probability is the probability observed through observation. The number of Bs in 36 spins was 21. Therefore, the empirical probability is 21/36 or 7/12 4. If a person is randomly selected, find the probability that his or her birthday is not in May. Ignore leap years. 1 year = 365 days. May has 31 days. 365-31= 334 days. Therefore, the probability of a birthday not in may is 334/365. 5. The chart below gives the number of vehicle tags sold in each city. One car is selected at random from the cars with vehicle tags from these cities. What is the probability that this car is
Option | Probability of Occurring | 2011 | 2012 | 2013 | 2014 | 2015 | Total |
Always choose the opposite of the card you chose. So if it is an O choose X, if it is a X choose O.
3. What is the probability of 5 people with different ages siting in ascending or descending order at a round table?
2) Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?
The cumulative probability of outcomes from 4 to 20 is .6%. The outcome parameters were 4 to 20 because, we were specifically asked to look at the probability of Four-D rejecting >=4 or more shipments in 20 days.
f) To find the probability of each of these answers you would start by dividing the possible successful outcomes by the total number of possible outcomes. In the example E, the question asked for anyone except an administrator, therefore, taking the total amount of people minus the administrator will give you a category for those you want to have picked. After that, you would continue as if you had the successful possibilities divided by all possible
Weight 10 dry post-82 pennies which get 52.31g, using 30ml initial volume measuring the volume of 10 pennies, record the data 7.0ml. Using equation Density= Mass/Volume, get the density of the pre-82 pennies is 7.47g/ml. Then calculate the error%=0.08%, and the deviation%=5.53%.
b) Let A represent the probability that the sum of the numbers will be greater then 14
4. Give the probability for the following based on the MINITAB calculations with the probability of a success being ½. (Complete sentence not necessary)
However, Wes Moore was a child born at the end of the year in October and showed success in his life. While Moore was born in the later half of the year, he was able to surpass the people born in earlier months that would have this “initial advantage” (Gladwell, 28) and became an outlier amongst successful
18) A die is rolled 23 times and the number of twos that come up is tallied. If this experiment is
Suppose that for a certain football game the probability that the home team will be
Example: Patrick flipped a number cube 40 times. A 5 appeared 10 times. The experimental probability of rolling a 5 is 10 out of 40 or 25%
28. The Polo Development Firm is building a shopping center. It has informed renters that their rental spaces will be ready for occupancy in 19 months. If the expected time until the shopping center is completed is estimated to be 14 months, with a standard deviation of 4 months, what is the probability that the renters will not be able to occupy in 19 months?
- There are 20 total members, 11 members with income > or = to 102, 000. The probability is 9 chance that a person will chosen that has a total income of $102,000 or