Life Expectancy by Year of Birth (For all questions)This table shows the life expectancy (y) for an individual born in the United States incertain years (x). There is an Excel spreadsheet provided that contains this data foryour calculations, if you wish to use it. IMPORTANT: values in the answer choiceswere calculated in Excel using the full decimals available and then rounded. This issignificant when you are using the equation for prediction with large numbers likeyears. You should use 3-4 decimal places for slope and 2 for intercept - and thenyour answer will be close enough to easily recognize the correct answer choice.Year of LifeBirthExpectancy193059.7194062.9195070.2196569.7197371.4198274.5198775199275.7201078.7

Step 1: Enter the DataOpen a new Excel spreadsheet.Enter the data into two columns:Column A for…

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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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PLEASE PROVIDE TYPED ANSWER What is the total number and percent of people who take antipsychotics? A total number of study population is .?Among them, the percent of men with depression was a slightly (higher/lower) than the percent of women with depression.
Visualize that two tributaries A and B at their confluence form a river C. Statistical properties of flow data for tributaries A and B indicate that tributary A has a yearly discharge rate smaller than its mean flow rate (?̅?) in 50% of the years while tributary B has a yearly discharge rate smaller than its mean flow rate (?̅?) in 60% of the time. In 70% of the years in which tributary A has a discharge rate smaller than its mean discharge rate (?̅?), tributary B also has a discharge rate smaller than its mean discharge rate (?̅?). Compute the probability that (i) both tributaries have a discharge rate smaller than their mean discharge rates, (ii) at least one tributary has a discharge rate smaller than its mean discharge rate, (iii) tributary A has a discharge rate smaller than its mean discharge rate given that tributary B has a discharge rate smaller than its mean discharge rate, (iv) at least one tributary has discharge rate higher than its mean discharge rate, and (v) probability…
Perform a complete analysis of this data using the plots and descriptive statistics you generated. You should write your analysis as though it is intended for someone who knows absolutely nothing about this data. You may use the following questions as a starting point to help guide your analysis: What do the data points in both columns represent? Are the data skewed? How do the data compare to one another? (Variation, median, etc.)
Thanks again for the solution. I now need to represent this data visually using either a bar graph, histogram, pie chart, distribution graph etc. I need two visual representations. I have spent all day trying to google how to represent chi-square results visually in excel, but haven't had much success. Please please can you assist, I would really appreciate it. Thank you so much.
Here is the data to solve these 3 question. Please give me all this 3 questions answer.
Chi-square is different. Explain why it's different and what types of data require you to use chi-square for analysis. Please give an example.
What does this data tell you? Section 4 appears to be a challenge; remember you must compare data to the national data and determine if there are any statistically significant differences at the 0.5 level. For Table 4-1, Information for national is given in table 4-4. You must then comment if it is statistically significant. For table 4-2 and 4-3 you can use formulas with data from table 4-4 (hints below) to find the national and comment if it is statistically significant. Here is a hint: Table 4-2: National Medicare Reimbursement/National Number of Discharges = Average National Reimbursement Hope that helps! Let me know if you have any questions. Table 4-1 Average Length of Stay (ALOS) Average Length of Stay (ALOS) DRG Hospital National Statistically Significant 088 4.6 5.0 (5.0-4.6 = 0.4 0.5) Yes (4.7 3.6 = 1.1 > 0.5) Yes (8.2-7.9 = 0.3 <0.5) No (7.4 -7.3 = 0.1< 0.5) No Table 4-2 Average Charges Average Charges DRG Hospital National Statistically Significant 088 $13,952 14,208…
I use excel. I do not know what data anlysis toolpak to use, however, to find the answer, t stat, df, P, etc. I also don't know how to word Ho and Ha. Thanks! The data shown below are the initial weights and gains in weight (in grams) of female rats on a high protein diet from 24 to 84 days of age. The point of interest in these data is whether the gain in weight is related to (dependent on) the initial weight. If so, then feeding experiments on female rats can be made more precise by adjusting for differences in initial weights of the rats. Statistically test this with a regression analysis. Rat Number Initial Weight (gms) Weight Gain (gms) 1 50 128 2 64 159 3 76 158 4 64 119 5 74 133 6 60 112 7 69 96 8 68 126 9 56 132 10 48 118 11 57 107 12 59 106 13 46 82 14 45 103 15 65 104 What is the equation for the multiple regression? What is the best estimate of the amount of variance in Y which is due to its regression on the independent variables?
just the last part thank you
A study is conducted involving 17 infants to investigate the association between gestational age at birth, measured in weeks, and birth weight, measured in grams. By the used of the table what is the coefficient relationship between the gestational age at birth and birth weight of the infants? Please make a Decision and Conclusion, refer to the image below for interpretation.
Doing my last lab question just need some help!
Rail ridership during the summer months in the North-East is believed to beclosely related to the number of tourists visiting the region. The following tableshows the data on the number of tourists and North-East ridership for the past16 years. (Answer in Excel showing formulas for answers)Year Tourists( in millions) Rail Ridership (in millions) 2000 9 2.32001 4 1.9 2002 7 1.7 2003 5 1.8 2004 12 2.8 2005 13 2.9 2006 14 2.42007 20 4.8 2008 7 1.3 2009 5 1.12010…

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