Consider the patient data in the table below. Suppose that patients are randomly selected with replacement from the total for hospital4.Hospital134TotalTotal5401 59795340 4079 | 20799LWBS195270246242953Admitted1277 15586669844485Not admitted 3929 41514428 2853 15361What is the smallest sample size needed so that the probability is at least 90% that at least one patient is LWBS?

Answered: Image /qna-images/answer/f05f99d5-72bd-4f34-8cdf-9c2121a96f87.jpg

Answered: Consider the patient data in the table…

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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A researcher wants to determine if the number of years of education for a parent correlates with the number of years of education for their child. The table shows the number of years of education of the parent and the number of years of education of their child for a random sample of 7. Years of Education of Parent: 13, 9, 12, 10, 12, 10, 12 Years of Education of their Child: 15, 11, 10, 16, 17, 12, 17 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. Use α = 0.05. If there is a significant linear correlation between the variables, determine the regression equation. There is a significant correlation between the variables and the regression equation is y' = 5.333 + 0.777x There is a significant correlation between the variables and the regression equation is y' = 0.777 + 5.333x There is not a significant correlation between the variables, so the regression equation should not be determined. There is a significant…
An amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tourist company would like to show that this distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over) Number of Individuals 56 86 44 14 The tourist company will use the data to test the amusement park’s claim, which is reflected in the following null hypothesis. H0:pchild=0.23H0:pchild=0.23, pteen=0.45pteen=0.45, padult=0.20padult=0.20, and psenior=0.12psenior=0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is…
An article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with ? = 0.05. Age of Purchaser Frequency 18–34 36 35–64 130 65 and over 34 Calculate the test statistic. (Round your answer to two decimal places.) ?2 = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? The data strong evidence to conclude…
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We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 2048 4096 4096 2 1024 2048 4096 3 1024 2048 8192 computer 4 2048 4096 8192 5 1024 2048 4096 6 2048 8192 2048 Here is the ANOVA table: Source DF Adj SS Adj MS F-Value P-Value Factor x 39263346 19631673 x.xx 0.025 Error xx 61691221 4112748 Total xx…
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 4096 4096 4096 2 4096 2048 4096 4096 2048 8192 computer 4 8192 4096 8192 4096 2048 4096 6. 2048 8192 2048 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5592405 2796203 XXX 0.604 Error XX 80390827 5359388 Total XX 85983232 Calculate the number of degrees of freedom Error. 3.
3. From a single bag of M&Ms we have the following distribution of colors: Color Orange All Other Colors Total number 24 62 If we let p be the proportion of orange M&Ms in your sample, use this to answer the following questions.
please complete the blank problem and or ones with a red x next to it not ones with a green check next to please
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept.3 1 2048 4096 4096 1024 2048 4096 3. 1024 2048 8192 computer 4 2048 4096 8192 1024 2048 4096 2048 8192 2048 Here is the ANOVA table: Source DF Adj SS Adj MS F-Value P-Value Factor x 39263346 19631673 x.xX 0.025 Error xx 61691221 4112748 Total XX 100954567 After ANOVA, assume that we want to do all of the pairwise comparisons between the means in this case. Tukey Pairwise Comparisons: Grouping Information Using the Tukey Method and

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