**Problem 7: Probability Upper Bound for Event Attendance**The expected number of people showing up for an event is characterized by a mean of 75,000 and a variance of $5,000^2$.**(a)** What is the upper bound on the probability of having fewer than 65,000 or more than 85,000 people?**(b)** What is the upper bound on the probability of having fewer than 60,000 or more than 90,000 people?

7. The expected number of people showing up for an event has mean 75,000 and variance 5, 000². (a) Give an upper bound on the probability of having fewer than 65,000 or more than 85,000 people? (b) Give an upper bound on the probability of having fewer than 60,000 or more than 90,000 people?

7. The expected number of people showing up for an event has mean 75,000 and variance 5, 000². (a) Give an upper bound on the probability of having fewer than 65,000 or more than 85,000 people? (b) Give an upper bound on the probability of having fewer than 60,000 or more than 90,000 people?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

9.An automobile insurer has found that repair claims are Normally distributed with a mean of $530 and a standard deviation of $480. (a) Find the probability that a single claim, chosen at random, will be less than $490. (b) Now suppose that the next 60 claims can be regarded as a random sample from the long-run claims process. Find the probability that the average X¯ of the 60 claims is smaller than $490. (c) If a sample larger than 60 claims is considered, there would be __________ chance of getting a sample with an average smaller then $490. (NOTE: Write ''LESS'', ''MORE'' or ''AN EQUAL''.)
The inferential statistics is used to compare the sample sets and estimate the probability that they belong to truly different populations as opposed to be different just due to a random chance. P-value is the outcome of a statistical calculation. P stands for probability. The 'p-value' always between 0 and 1. The p-value of 0 means that an event never occurs, and p-value of 1 means that an event occurs always. In biomedical scinces, a p-value of 0.05 or less is usually considered significant (meaning the differences in the data are likely not due to chance, the sample(s) are not from the same population, and the observed differences are likely real). Value: 1 The p value of 0.03 indicates significant difference in biomedical sciences. True False Check Answer Tails is a statistical parameter that used in statistical significance testing. There are one-tailed and two-tailed options for statistical test. The one-tailed option is used when the hypothesis predicts not only difference…
Assume that the square footage of a residential house in the US is normally distributed with a mean=1000 and standard deviation=150 square feet. If we select a random house what is the probability that it will be at most 1050 square feet?
What is the probability that 46 cars chosen at random will have a mean load weight x of less than 85.5 tons of coal if the mean is 86 and standard deviation 1.4
Suppose you did an experiment with 3 groups and 16 subjects per group. The sample variances in the three groups were 14, 16, and 18. Using Tukey's test to compare the means, what would be the two-tailed probability for a comparison of the first mean (14) with the last mean (18)?
Suppose 2 dice are rolled, and suppose the discrete variable x counts the number of 3’s that show up. Plot the probability distribution for x using a bar graph. What is the expected value for the random variable x? What is the variance for the random variable x?
The president of Doerman Distributors, Inc., believes that 28% of the firm's orders come from first-time customers. A simple random sample of 100 orders will be used to estimate the proportion of first-time customers. What is the probability that the sample proportion will be between 0.16 and 0.40 (to 4 decimals)? What is the probability that the sample proportion will be between 0.21 and 0.35 (to 4 decimals)?
6- The variance of the sum of the random variables equals the sum of the variances if the random variables are uncorrelated. True O False
24. Suppose the waiting time for a goal to be scored in World Cup matches is an exponential random variable with mean 10 minutes. (a) What is the probability that more than 20 minutes passes before the first goal in a match is scored? Do not round your answer (so don't use a calculator). I (b) What is the probability that scoring the first goal in a match will be within one standard deviation from the mean waiting time? Do not round your answer (so don't use a calculator).
(7) If the probability of a student graduating is 0.95, find the probability that more than 472 students students graduating among 500 students. (8) If the probability of a student receiving financial aid is 0.72, find the mean and variance of the number of students receiving financial aid among 40000 students. (9) There are 300 questions on a multiple choice exam. For each question there are 5 choices to choose from, and there is only one correct choice for each question. Find the mean (expected value) and variance for the number of questions you answer correctly by making random guess.
5. Suppose the number of cell phones in a household has a binomial distribution with parameters n=21 and p=25%.Find the probability of a household having:(a) 16 or 20 cell phones:(b) 18 or fewer cell phones: (c) 18 or more cell phones:(d) fewer than 20 cell phones: (e) more than 18 cell phones:
Hi there, I previously submitted the wrong screenshot of my problem, I'm not sure how to calculate the mean for this or how to solve it