Hello, please help me solve PROBLEM 10 ONLY using the data found in problem 8. thank you! Problem No. 8The following data show the ages of the randomly selected players of the 2021 SquidGame held in the Philippines,30; 31; 33; 35; 36; 37; 37; 40; 41; 42; 47; 52; 55; 57; 58; 62; 64; 67; 69; 71; 72; 73; 74; 76; 77,a. Calculate the meanb. Identify the medianc. Identify the mode Problem No. 10Consider the ages of the randomly selected players in Problem No. 8. Compute the samplevariance and sample standard deviation.Note: This will be included in your Problem Set, to be submitted on an announced date.Format of the Problem Set is presented in the last part of this study guide.

Here use basic formulas of sample variance ans and sample standard deviation

Answered: Consider the ages of the randomly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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problem 110
Problem 2. (Exercise 6, Section 9.5.7) According to the Department of Motor Vehicles (DMV), the entity in charge of providing driving licenses in the United States, it is illegal to drive with a blood alcohol content of 0.08% or more if you are 21 or older. In the DMV's guidelines to determine when a person is driving under the influence, which can be found at https://www.dmv.ca.gov/portal/dmv/detail/pubs/hdbk/actions_drink, it is indicated that fewer than five percent of the population weighing 100 pounds will exceed the 0.33 alcohol level. Assume this is accurate. If the Highway Patrol stops in a random day 200 unrelated cars where the individual weighs one hundred pounds, on a Friday night, what is the probability that six percent of more individuals stopped exceeds that 0 33 alcohol level?
question 28. I will submit this problem in three parts because it is long, and i was asked to seperate longer problems so you are not asked to do more than what you are being paid for. part 1 problem #28 Before the furniture store began its ad campaign, it averaged 146 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 16 randomly selected days since the ad campaign began is shown below: 172, 147, 168, 163, 166, 139, 158, 151, 137, 140, 138, 137, 158, 133, 144, 144 Assuming that the distribution is normal, what can be concluded at the αα = 0.10 level of significance? A.)For this study, we should use Select an answer t-test for a population mean z-test for a population proportion B.)The null and alternative hypotheses would be: H0:H0: ? p μ Select an answer < = ≠ > H1:H1: ? μ p Select an answer > < ≠ = C.)The test statistic ? z or t = ____ (please show your answer to 3 decimal places.)
Problem 9 The point of averages of a scatterplot of Y against X is (-18, 6 ). The SD of X is 5, and the SD of Y is 6. The decimal fraction of points in the scatterplot whose X coordinates are between -42 and 6 and whose Y coordinates are between -10.8 and 22.8 is (Q13) at least 8 (Q14) (Hint: Use Chebychev's inequality twice.)
Problem 4 (30 points) Amy is interested in moving to California but isn't certain which city she'd prefer. One variable of interest to her is the proportion of rainy days in each city. She took a random sample of days for each of the four biggest cities in California (Los Angeles, San Francisco, San Diego, and San Jose) and recorded the results. If a day contained any precipitation, it is considered a rainy day. Counts of days with and without rain in each of the four cities are summarized in the given StatKey output. 1. Find the two missing values in the StatKey output. Expected count for (Rain, SD) = Precipitation City LA SF SD SJ Total 4 6 22 3 Rain 5.6 5.2 5.2 35 0.462 0.137 0.45 0.904 No Rain Total 25 202 21 17 19.4 17.8 0.134 23 6 608 20 65.9 17.8 121 0.13 0.262 85 23 156 Observed, Expected, Contribution tox Contribution for (No Rain, SF) = 2. Are conditions met for using a x² distribution for a test of association? Explain specifically what you checked and list All the numbers…
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Question 4) Steve and Sue, both being relatively short, have always felt they and their shorter than average friends were getting shorted in pay. They hire you to do some analysis. You divide the population into shorter than average (Shorts) and taller than average (Talls). (Probably don’t refer to your friends in these terms, this is only to help you quickly talk about the samples) Your Shorts sample of 10 people earns on average $22 per hour with a standard deviation of $5. The Talls sample of 12 shows an average earned $18 per hour with a standard deviation of $4. Set up a null hypothesis and an alternative hypothesis Using an alpha of .05 test your hypothesis. (If you get stuck write down what you know.) What did you determine based on your test? Refer to your null and alternative hypotheses. (If you are stuck on part b, make up a result and answer parts c and d based on the result. Make sure to explicitly state what result you are making up so I…
please answer 7.10
Can you answer question #2? parts A-B?
Problem 3. Suppose a test for detecting a certain rare disease has been perfected that is capable of discovering the disease in 97% of all afflicted individuals. Suppose further that when it is tried on healthy individuals, 5% of them are incorrectly diagnosed as having the disease. Finally, suppose that when it is tried on individuals who have certain other milder diseases, 10% of them are incorrectly diagnosed. It is known that the percentages of individuals of the three types being considered here in the populations at large are 1%, 96%, and 3%, respectively. Calculate the probability that an individual, selected at random from the population at large and tested for the rare disease, actually has the disease if the test indicates he is so afflicted.
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This problem set deals with the problem of non-constant acceleration. Two researchers from Fly By Night Industries conduct an experiment with a sports car on a test track. While one is driving the car, the other will look at the speedometer and record the speed of the car at one- second intervals. Now, these aren't official researchers and this isn't an official test track, so the speeds are in miles per hour using an analog speedometer. The data set they create is: {(1,5), (2, 2), (3, 30), (4, 50), (5, 65), (6,70)} Z = 25 They notice that the acceleration is not a constant value. They decide that a fourth-degree polynomial will be the best to describe the speed of the car as a function of time. The task here is to determine the fourth-degree polynomial that fits this data set the best. 1. Construct the system of normal equations A¹ AX = A¹b. AT A = A¹b = 2. Solve the system of normal equations. (I don't want you doing this by hand. Use a calculator or app.) x =

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Consider the ages of the randomly selected players in Problem No. 8. Compute the sample variance and sample standard deviation.