In a recent poll the Gallup Organization found that 45 of.pdf

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In a recent poll, the Gallup Organization found that 45% of adult Americans believe that the overall state of moral values in the United States is poor. Suppose a survey of a random sample of 25 adult Americans is conducted in which they are asked to disclose their feelings on the overall state of moral values in the United States. (a) Find and interpret the probability that exactly 15 of those surveyed feel the state of morals is poor. (b) Find and interpret the probability that no more than 10 of those surveyed feel the state of morals is poor. (c) Find and interpret the probability that more than 16 of those surveyed feel the state of morals is poor. (d) Find and interpret the probability that 13 or 14 believe the state of morals is poor. (e) Would it be unusual to find 20 or more adult Americans who believe the overall state of moral values is poor in the United States? Why?.

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In a 10-year graph with an explanation of Idaho Panhandle: Hypothetically speaking A forested region with regular annual prescribed fire(RX), has a creek running through it. In a semi-arid region, during the months of winter, which are typically wet each year and dry each year in the summer. What would the results be in year 7, the month of July of the watershed when a wildfire hits (2 months before full suppression) during the summertime? In terms of the watershed, what would happen with runoff, local ecology, streamflow, changes in sediment, animal wildlife activities, etcetera)..

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In 2-D, let x=[x1,x2]. Write down the explicit cubic feature mapping (x) as a vector; i.e., (x)=[f1(x1,x 2),,fN(x1,x2)] Hint Hint: (x) should be a 10-dimensional vector. (x)= You have used 0 of 20 attempts The cubic_features function in features.py is already implemented for you. That function can handle input with an arbitrary dimension and compute the corresponding features for the cubic Kernel. Note that here we don't leverage the kernel properties that allow us to do a more efficient computation with the kernel function (without computing the features themselves). Instead, here we do compute the cubic features explicitly and apply the PCA on the output features..

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In 2021, California passed a law to provide all public school children with free lunch and breakfast. Public health professionals have asked the state to make sure the meals are healthy and nutritious, to reduce the chance the program might contribute to childhood obesity. What are public health professionals asking California to consider? Balance the interests of the state and schools Maximize the benefits over harms Manage a tragedy of the commons Interpret the general welfare clause broadly.

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import yfinance as yf (yf.Tickers(tickers=['AAPL', 'TSLA']).history(period='max', auto_adjust=False, progress=False).assign(Date = lambda x:x.index.tz_localize(None)).set_index('Date').rename_axis(columns=['Variable', 'Ticker']).to_csv('yahoo.csv')) Read the daily returns data for AAPL and TSLA saved in file yahoo.csv Calculate the decimal daily returns for AAPL and TSLA from July 2010 through February 2023 (inclusive) and assign to data frame returns..

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In 2020, Natural Selection, a nationwide computer dating service has $508 million assets and $204 million of liabilities. Earnings before interests and taxes were $124 million, interest expense was $28.5million, the tax rate was 40%, principal payment requirements were $23.9 million, and annual dividends were 20% per share on $20 million share outstanding. Calculate the following for natural selection: liabilities-to-equity ratio times-interest-earned ratio times burden covered.

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In 2010 the Pew Research Center reported that teenagers send on average 50 text messages every day. A researcher suspects this number is out of date, and wishes to determine if teens are sending fewer texts than they used to. A random sample of 25 teens were found to be sending an average of 47.75 texts per day, with a standard deviation of 15. Testing at 10% significance and stating the null and alternative hypothesis, what can the researcher conclude?.

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Implement special cases here: (define (delete t v) (let ((path (find t v))) (cond (( empty? t ) ) ((empty? (bst-root t)) ) ((not ( = v (node-value (car path))) ) (( > (node-count (car path)) 1) decrement count) ((equal? (car path) (bst-root t)) ;node were trying to delete (cond ; nest conditiona; ( (let-AND right (car path) empty) ; case 0.1 root <- null ((let-root empty, right empty) ; case 1 root <- left car path ; case 1.1 ((left-empty, right not empty) ; case 1.2 root <- right car path (else (delete-node path)) (else (delete-node path)) ) ) ) ) ) ) ) ) ) Special cases Top-Level Function: Delete Value from BST: (delete t v) The first parameter t is a reference to a bst, and the second parameter v is a value to find and delete. Like the insert function, delete will directly resolve a few special cases. For the general cases, it will call (find t v) to obtain a list of nodes that represent a path from the root to the node to be deleted, and will then call a helper function (delete-node path) to handle the rest of the work. In the case of delete the helper function will further rely on secondary helper functions to resolve cases and subcases. Deletion logically breaks down into cases based on how many child nodes the node to delete has. Each of those cases has subcases. The large number of cases implies the need for a correspondingly larger set of test cases: a test case to trigger each deletion case. Delete Cases Before we look at the detailed code for delete in Racket, lets look at the general approach. As for some of the other functions, it will be convenient to create a top-level function (delete t v) and several helper functions that manage specific detailed cases. There will be some initial special cases that should be managed separately, before launching any lower level helper function. Special cases for (delete t v): Tree t is empty: end the function because there is nothing to do. At this point, call (find t v) to create the path from root to node to delete if it is present. Assume the list returned is bound to a symbol named path. The node of interest will be the first node in the list: (car path) By examining node (car path), you can determine if the value to delete is present or not. Value v is not in the tree: end the function because there is nothing to do. Value v is in the tree: o Is the count field > 1? Dont delete the node, simply decrement its count field. o Is the count field = 1? In this case, we must move forward to actually delete the node. Is the node to delete the root of the tree? Does the node have 0 or 1 child nodes? This corresponds to delete cases 0.1, 1.1, and 1.2. Delete the node and update the root of the tree. o If we reach this pointvalue v is in the tree, count field is 1, node is not the root if it has 0 or 1 child nodes then the general delete case applies, call (delete-node path) The remaining delete cases will be covered by the (delete-node path) helper function. Some general considerations for node n (.

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1. In a recent poll, the Gallup Organization found that 45% of adult Americans believe that the overall state of moral values in the United States is poor. Suppose a survey of a random sample of 25 adult Americans is conducted in which they are asked to disclose their feelings on the overall state of moral values in the United States. (a) Find and interpret the probability that exactly 15 of those surveyed feel the state of morals is poor. (b) Find and interpret the probability that no more than 10 of those surveyed feel the state of morals is poor. (c) Find and interpret the probability that more than 16 of those surveyed feel the state of morals is poor. (d) Find and interpret the probability that 13 or 14 believe the state of morals is poor. (e) Would it be unusual to find 20 or more adult Americans who believe the overall state of moral values is poor in the United States? Why?

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