541020 30 40506070 8090100102030405060708090100City A mean: 38.13 thousand dollarsCity B mean: 55.13 thousand dollarsCity A standard deviation: 20.84 thousand dollarsCity B standard deviation: 14.71 thousand dollarsThe committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule ononly one of them!Answer the parts below to help the committee with their approximations.(a) Identify the data set for which it is appropriate to use the Empirical Rule.It is appropriate to use the Empirical Rule for the (Choose one) V data set.For the data set identified in part (a), use the Empirical Rule to make the following approximations.(b) The percentage of incomes between 40.42 thousand dollars and 69.84 thousand dollars is approximately(Choose one) ▼(c) Approximately 95% of the incomes are between thousand dollars and thousand dollars.NotesSEPWMacBook AirDIIDDF1F1080888F8F7F6F5F4F3 A County Board of Supervisors has appointed an urban planning committee to evaluate proposed community development projects. The committee is analyzing,among other things, data on household incomes in two cities within the county. They have collected data on the income of 80 households in each of the twocities. The histograms below show the distributions of the two sets of incomes (in thousands of dollars). Each histogram shows household income on thehorizontal axis and number of households on the vertical axis. The means and standard deviations for the data sets are also given.City ACity B25-25 -20+20-15-15-10+10-5+5-0-102030405060 708090100102030405060708090100City A mean: 38.13 thousand dollarsCity B mean: 55.13 thousand dollarsCity A standard deviation: 20.84 thousand dollarsCity B standard deviation: 14.71 thousand dollarsThe committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule ononly one of them!Answer the parts below to help the committee with their approximations.(a) Identify the data set for which it is appropriate to use the Empirical Rule.It is appropriate to use the Empirical Rule for the (Choose one) V data set.For the data set identified in part (a), use the Empirical Rule to make the followir Music imations.64SEPA のw3W...

It is been asked to find the data in which empirical rule can be used, percent of income between…

City A standard deviation: 20.84 thousand dollars City B standard deviation: 14.71 thousand dollars The committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule on only one of them! Answer the parts below to help the committee with their approximations. (a) Identify the data set for which it is appropriate to use the Empirical Rule. It is appropriate to use the Empirical Rule for the (Choose one) ▼ data set. For the data set identified in part (a), use the Empirical Rule to make the following approximations. (b) The percentage of incomes between 40.42 thousand dollars and 69.84 thousand dollars is approximately (Choose one) ▼ thousand dollars and thousand dollars. (c) Approximately 95% of the incomes are between

City A standard deviation: 20.84 thousand dollars City B standard deviation: 14.71 thousand dollars The committee wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule on only one of them! Answer the parts below to help the committee with their approximations. (a) Identify the data set for which it is appropriate to use the Empirical Rule. It is appropriate to use the Empirical Rule for the (Choose one) ▼ data set. For the data set identified in part (a), use the Empirical Rule to make the following approximations. (b) The percentage of incomes between 40.42 thousand dollars and 69.84 thousand dollars is approximately (Choose one) ▼ thousand dollars and thousand dollars. (c) Approximately 95% of the incomes are between

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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Now you know the range and interquartile range for the age variable...but you are concerned because both of these measures of variability are flawed (in fact, you can easily list the drawbacks of each measure because you have studied so well!). So, you realize it is also important to check out the standard deviation.You use SPSS and find that the standard deviation for the age variable is ________. Enter your answer rounded to two decimal places (i.e., 10.11, not 10, not 10.1, not 10.110).
19. Question content area top Part 1 Your medical research team is investigating the standard deviation of the cost of a 30-day supply of a certain heart medication. A pharmaceutical company thinks that the standard deviation of the cost is less than $11. You want to support this claim. How would you write the null and alternative hypotheses? Question content area bottom Part 1 H0: ▼ sigma equals 11σ=11 sigma not equals 11σ≠11 sigma greater than 11σ>11 sigma less than 11σ<11 sigma greater than or equals 11σ≥11 sigma less than or equals 11σ≤11 Ha: ▼ sigma less than or equals 11σ≤11 sigma equals 11σ=11 sigma less than 11σ<11 sigma greater than 11σ>11 sigma greater than or equals 11σ≥11 sigma not equals 11σ≠11
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A new Economic / Social Conservatism Scale has scores between 0 and 30 (0 being extreme liberal, 30 being extreme conservative). The mean score is 21 and standard deviation of scores is 5. You want to convert the original scale (call it X) to a new scale (call it Y) that has scores between 0 and 100. What is the correlation of X and Y?
For the following questions, THERE IS NO NEED FOR EXPLANATION. PLEASE PROVIDE JUST THE ANSWER THANK YOU. Please DO NOT waste time on writing things to explain. Please answer in 30 mintues or else I will write a bad review. If you follow my rules and answer in less than 30 mintues then I will write a very long and wonderful review about you. ANSWER the questions correlty and please answer all the questions with what it regards in saying exactly.
20. Question content area top Part 1 Your medical research team is investigating the standard deviation of the cost of a 30-day supply of a certain heart medication. A pharmaceutical company thinks that the standard deviation of the cost is less than $11. You want to support this claim. How would you write the null and alternative hypotheses? Question content area bottom Part 1 H0: ▼ sigma equals 11σ=11 sigma not equals 11σ≠11 sigma greater than 11σ>11 sigma less than 11σ<11 sigma greater than or equals 11σ≥11 sigma less than or equals 11σ≤11 Ha: ▼ sigma less than or equals 11σ≤11 sigma equals 11σ=11 sigma less than 11σ<11 sigma greater than 11σ>11 sigma greater than or equals 11σ≥11 sigma not equals 11σ≠11
Why do deviation scores have to be squared before calculating the standard deviation? Squaring is necessary when calculating inferential statistics. If deviation scores are not squared, then the average distance from the mean will always equal 0. Squaring deviation scores allows for degrees of freedom to be calculated. If deviation scores are not squared, then the interquartile ranges are incalculable.
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A somewhat outdated study indicates that the mean number of hours worked per week by software developers is 44. We have good reason to suspect that the mean number of hours worked per week by software developers, μ, is now greater than 44 and wish to do a statistical test. We select a random sample of software developers and find that the mean of the sample is 47 hours and that the standard deviation is 6 hours. Based on this information, complete the parts below. (a) What are the null hypothesis Ho and the alternative hypothesis H₁ that should be used for the test? μ x Н. : H₁ : (b) Suppose that we decide to reject the null hypothesis. What sort of error might we be making? (Choose one) (c) Suppose the true mean number of hours worked by software engineers is 49 hours. Fill in the blanks to describe a Type II error. A Type II error would be (Choose one) when, in fact, is (Choose one) ▼the hypothesis that μ is (Choose one) (Choose one) O