Question 9 2 pts Again, in the previous problems we simplified the arithmetic by multiplying each score in our original data set of n=8 scores (0, 1, 0.5, 0, 3, 0.5, 0, 1) by multiplying each score by 2 to obtain a new sample of n=8 (0, 2, 1, 0, 6, 1, 0, and 2). Using the value for the standard deviation you previously obtained for the new sample, what is the value for the standard deviation for the original sample?

Question 9 2 pts Again, in the previous problems we simplified the arithmetic by multiplying each score in our original data set of n=8 scores (0, 1, 0.5, 0, 3, 0.5, 0, 1) by multiplying each score by 2 to obtain a new sample of n=8 (0, 2, 1, 0, 6, 1, 0, and 2). Using the value for the standard deviation you previously obtained for the new sample, what is the value for the standard deviation for the original sample?

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Question 3 The average score of all sixth graders in school District A on a math aptitude exam is 75 with a standard deviation of 8.1. A random sample of 80 students in one school was taken. The mean score of these 100 students was 71. Does this indicate that the students of this school are significantly different in their mathematical abilities than the average student in the district? Use a 5% level of significance.
QUESTION 14 When we sample from an infinite population, what happens to the standard error of the mean if the sample size is decreased from 1600 to 100: O decreased by 400% Ounchanged decreased by 4% increased by 400%
Question 8 Consider this scenario: A cereal-packing company where the content of cereal boxes must have a mean of 368 grams to satisfy the labeling on the box. Because it is expensive to weigh every box produced at the factory, a sample of boxes is used to estimate the actual mean. After analyzing the data sample, the operations manager must decide whether or not the manufacturing process is working as expected. Suppose a sample of 49 boxes is taken from thousands produced during an 8-hour shift and the standard deviation (σ) of the cereal-filling process is 15, what is the standard error of the mean? Use the equation, σX̅ = σ /(square-root of n), where n is the sample size. Enter your result as a value with one digit after the decimal point (e.g. 1.7).
Question 3 Subparts d, f , h, i Thank you
What will be the easiest solution for the following issue?
Question 18 The table below gives the number of hours spent watching TV last week by a sample of 24 children. 77 74 44 55 77 52 22 78 87 66 79 60 62 80 69 67 26 31 52 70 37 57 97 12 Range > Standard Deviation = Round your answers to the nearest hundredth as needed.
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Question #11
Just question #2 The chart above will be used to answer it. (:
Question 7 Ten students independently performed an experiment to estimate the value on 7. Their results were: (a) (b) (c) 3.12, 3.16, 2.94, 3.33, 3.00, 3.11, 3.50, 2.81, 3.02, 3.10 Given that x² = 97.0011, calculate the sample mean, and sample variance, s². Stating any necessary assumption that you make, calculate a 95% confidence interval for based on these data. Estimate the minimum number of results that would be needed if it is required that the width of the resulting 95% confidence interval should be at most 0.02.
QUESTION 23 Suppose the image below shows the distributions of scores on a standardized test for upperclassmen from two rivel high schools. 015 Which of the following statements can be made? O A. The two high schools' upperclassman have the same mean and same variance. O B. The two high schools' upperclassman have the same mean but difference variance. O C. The two high schools' upperclassman have a different mean and a different variance. O D. None of the statement above can be inferred from the image.
Problem 1 You're interested in calculating the standard deviation of the exam scores of a national standardised test to see if many people scored close to the mean or not. Use the following dataset. Test Taker 1 2 3 4 5 6 7 8 9 10 Score 20 40 60 60 75 80 70 65 70 90