Solve the problem.1) The random variable x represents the number of credit cards that adults have along with the correspondingprobabilities. Find the mean and variance..x P(x)0 0.071 0.682 0.213 0.0340.01A) mean: 1.30; variance: 0.32B) mean: 1.23; variance: 0.44C) mean: 1.23; variance: 0.33D) mean: 1.30; variance: 0.44

The question is about discrete probability distribution.Given :

Answered: Solve the problem. 1) The random…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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-Please do on excel and write the excel fomula for each answer you give. I cannot figure this question out. A business school has a goal that the average number of years of work experience of its MBA applicants is more than three years. Historical data suggest that the variance has been constant at around six months, and thus, the population variance can be assumed to be known. Based on last year’s applicants, it was found that among a sample of 47, the average number of years of work experience is 3.1. Can the school state emphatically that it is meeting its goal? Formulate the appropriate hypothesis test and con-duct the test.
X is quarterly Covid-19 cases in an inner city hospital Quarter Quarter Quarter Quarter A C 130 18 90 25 What is the sample mean and variance (in that order)?
The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.02 level that the drug stays in the system for more than 312 minutes. For a sample of 69 patients, the mean time the drug stayed in the system was 319 minutes. Assume the variance is known to be 400. Enter the decision rule. Reject Ho if z >_______
. Variance: The number of cars that pass through a toll booth in an hour follows a probability distribution with the following values: NUMBER OF CARS (X) PROBABILITY P(X) 0 0.1 1 0.3 2 0.4 3 0.2 Calculate the variance of the number of cars passing through the toll booth in an hour.
4. Review the variance function for specific distributions. For Bernoulli, Poisson, Gamma, and Inverse Gaussian, what does the variance function say about our ability to predict the range of possible values? (This may be a little bit challenging; give it your best guess.)
You are testing the claim that the mean GPA of night students is different from the mean GPA of day students. A sample of 24 night students and 28 day students and their GPA's are recorded below. Test the claim using a 1% level of significance. Assume the population variances are unequal and that GPAs are normally distributed. Give answers to 4 decimal places. GPA-Night GPA-Day 3.05 3.38 2.91 3.02 3.27 3.4 3.29 2.73 3.3 3.24 3.35 2.69 3.39 3.25 3.52 3.33 3.39 2.33 3.25 3.51 3.08 3.07 3.27 2.9 3.32 3.48 3 2.94 3.62 2.93 3.64 3.31 3.54 2.62 3.45 2.66 3.29 3.27 3.56 2.76 3.15 2.7 3.4 3.27 3.51 2.96 3.54 2.86 3.24 2.72 2.64 3.14 What are the correct hypotheses? Note this may view better in full screen mode. Select the correct symbols in the order they appear in the problem.H0: Select an answer x̅₂ s² x̅₁ σ² μ₂ μ₁ p ? = ≠ > < ≥ ≤ Select an answer 0 μ₂ x̅₂ x̅₁ σ² p s² μ₁ H1: Select an answer σ² x̅₂ x̅₁ μ₁ μ₂…
Suppose that for a given computer salesperson, the probability distribution of x the number of systems sold in 1 month is given by the following table. 1 2 3 4 8. P(x) 0.05 0.10 0.12 0.30 0.30 0.11 0.01 0.01 (a) Find the mean value of x (the mean number of systems sold). (b) Find the.variance and standard deviation of x. (Round your standard deviation to four decimal places.) variance standard deviation How would you interpret these values? (Round your standard deviation to four decimal places.) The mean squared deviation from the mean number of systems sold in one month is A typical deviation from the mean number of systems sold in one month is (c) What is the probability that the number of systems sold is within 1 standard deviation of its mean value? 1. (d) What is the probability that the number of systems sold is more than 2 standard deviations from the mean?
To properly examine the effect of a categorical independent variable in a multiple linear regression model we use an interaction term. True O False
Part I A bakery sells homemade bread by the loaf and sales are uniformly distributed between 200 and 600 loaves per day. a. Find the probability of selling 240 loaves on a given day. b. Find the probability of selling between 250 and 260 loaves per day Part II The golf balls produced by TruGolf have a mean distance of 250 meters and a variance of 625 meters. c. How large a sample of TruGolf balls should be taken if they want to estimate with 90% confidence the mean distance to within 8 meters? d A random sample of 40 balls from TruGolf are selected. Find the Bound of Error when the confidence level is 95% for TruGolf
The owner of a farmer's market was interested in determining how many oranges a person buys when they buy oranges. He asked the cashiers over a weekend to count how many oranges a person bought when they bought oranges and record this number analysis at a later time. The data is given below in the table. The random variable x represents the number of oranges purchased and P(x) represents the probability that a customer will buy x oranges. Determine the variance of the number of oranges purchased by a customer. Round to two decimal places. X P(x) 1 0.05 O A. 0.56 OB. 3.97 OC. 3.57 OD. 1.95 2 3 0.19 0.20 4 5 0.25 0.12 6 0.10 7 8 0 0.08 9 10- 0 0.01

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