You wish to test if the mean difference of post-test from pre-test is less than 0 (they did worse) at asignificance level of 0.01. For the context of this problem, d = post preYou obtain pre-test and post-test samples for na = 20 subjects. The average difference (post-pre) isx = -6.9 with a standard deviation of the differences of s= 38.7.Round your answers to three decimal places, and round any interim calculations to four decimal places.Fill in the hypotheses below (click the circle to the left of the correct answer):Hou_dHa: μ_dWhat is the test statistic?00Part 2 of 4

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Answered: You wish to test if the mean difference…

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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This problem is fill in the blank. Just choose the correct answers. Thank you for your help A scientist has read that the mean birth weight, μ, of babies born at full term is 7.2 pounds. The scientist, believing that μ is less than this value, plans to perform a statistical test. She selects a random sample of birth weights of babies born at full term and finds the mean of the sample to be 6.9 pounds and the standard deviation to be 1.7 pounds. Based on this information, answer the questions below. What are the null hypothesis (H0) and the alternative hypothesis (H1) that should be used for the test? H0: (choose one) less than, less than or equal to, greater than, greater than or equal to, equal to, or not equal to. (choose one) 6.9 pounds, 7.2 pounds, or 1.7 pounds. H1: (Choose one) less than, less than or equal to, greater than, greater than or equal to, equal to, or not equal to. (Choose one) 6.9 pounds, 7.2 pounds, or 1.7 pounds. In the context…
A single question with sub-parts. Please answer all parts. I appreciate it :(
Please solve within 30 minutes with a correct explanation.
need help with the ones that have the X
An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…
please answer the question below to 4 decimal places
In 1940 the average size of a U.S. farm was 174 acres. Let's say that the standard deviation was 51 acres. Suppose we randomly survey 45 farmers from 1940. I need help with the question below: The middle 50% of the distribution for x̅, the bounds of which form the distance represented by the IQR, lies between what two values? please explain to me the steps I have to do to solve this problem, thank you
26) There appears to be some evidence suggesting that earlier retirement may lead to memory decline (Rohwedder & Willis, 2010). The researchers gave a memory test to men and women aged 60 to 64 years in several countries that have different retirement ages. For each country, the researchers recorded the average memory score and the percentage of individuals in the 60-64 range who were retired. Note that a higher percentage retired indicates a younger retirement age for that country. The following data are similar to the results from the study. Use the data to find the regression equation for predicting memory scores from the percentage of people aged 60 to 64 who are retired. Country % Retired Memory Score (X) (Y) Sweden 39 9.3 U.S.A. 48 10.9 England 59 10.7 Germany 70 9.1 Spain 74 6.4 Netherlands 78 9.1 Italy 81 7.2 France 87 7.9 Belgium 88 8.5 Austria 91 9.0 ing
A researcher is interested in learning about average online hours per day for Camosun College students. Data is gathered from 50 students - mean online hours is 7.52 with a standard deviation of 2.85. Calculate the 95% CI (or alpha at 0.05) and interpret your results in a full sentence. Now calculate a 99% CI for the above. How does your answer change? If the researcher sampled a group of 24 students and the new calculated mean and standard deviation are the same as with the larger group of 50, would the 99% CI change from b above? If yes, in what way?
The director of research and development is testing a new medicine. She wants to know if there is evidence at the 0.05 level that the medicine relieves pain in more than 399 seconds. For a sample of 10 patients, the mean time in which the medicine relieved pain was 406 seconds with a standard deviation of 18. Assume the population distribution is approximately normal. Step 2 of 5: Find the value of the test statistic. Round your answer to three decimal places. Kenad
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A survey found that the average hotel room rates and standard deviations for the state of Arkansas and the state of Washington. Assume that the data were obtained from two samples were normally distributed. At a=0.1 level of significance, can it be concluded that there is a significant difference in the rates? Use the data table below. Report only the value required from the question below make sure to express your final answers in 4 decimal places. Parameter Arkansas Washington Sample size 82.00 72.00 sample 350.46 360.01 mean population standard deviation 29.17 27.20 a. Variance of Arkansas:

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