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Q: SWYK: Trigonometric Ratios 61 11 K- 60 Which is an equivalent expression for tan J? 60 60 60 11 60…
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Q: SAMPLE 1 1. Which of the following statements is incorrect? a. x=8 b. sin 30º = ¹ 60 c. sin 60° = y…
A: NOTE-Since you have asked multiple question, we will solve the first question for you. If youwant…
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A: Please rate and feel free to ask any query about any part,
Q: B A b. Note: Triangle may not be drawn to scale. Suppose a = 8 and b = 6. Find an exact value or…
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Q: B a A b Note: Triangle may not be drawn to scale. Suppose a = 4 and b = 11. Find an exact value or…
A: use Pythagoras theorem to calculate c as: c2 = a2 + b2 = 42 + 112 = 16 + 121 = 137 Hence, c = √137
Q: SWYK: Trigonometric Ratios 61 11 K 60 Which is an equivalent expression for sin K? 61 O O O
A: Now , we will solve it using pythagoras theorem. We know, Sin(K) = OPPOSITE/HYPOTENUSE
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- Fruit flies have built-in circadian rhythms that keep time in the absence of external stimuli. Several genes have been shown to be involved in internal timekeeping, including per (period) and tim (timeless). Mutations in these two genes, and in other genes, disrupt timekeeping abilities. Interestingly, these genes have also been shown to be involved in other time-related behavior. Individuals that carry particular mutations of per and tim have been shown to copulate for longer than individuals that have neither mutation. The following table summarizes some data on the duration of copulation for flies that carry either the per mutation or the tim mutation: Mutation Mean copulation duration (min) Standard deviation Sample size per 17.5 3.37 14 tim 19.9 2.47 17 Do the populations carrying these mutations have different variances in copulation durations? Carry out the appropriate test using α =0:05 Do these two mutations lead to different mean…Scenario: A researcher wants to determine whether the volume of orders placed, in thousands, can predict whether an entry error was committed (yes or no). Which research analysis is most appropriate? Group of answer choices a. ANOVA b. Binary Logistic Regression c. Chi-square Contingency Table d. Non-parametric e. RegressionAn operator handles adjustments for a group of 8 machines. Adjustment time is exponentially distributed and has a mean of 12 minutes per machine. The machines operate for an average of 85 minutes between adjustments. While running, each machine can turn out 55 pieces per hour. Now find: a. The average number of machines waiting for adjustment. b. The average number of machines being serviced. c. Average downtime. d. The probability that a machine will have to wait for an adjustment.
- A study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…Please tapy answer A. What is latent variable in the probit model? B. Which estimator will you choose to estimate a logit model? C. What is the “count R-square” for the probit model? D.What method can you use to estimate parameters of a sample selection data? E. can the, MLE be used to estimate parameters of a sample selection data?e-Books A study by the Pew Internet & American LifeProject found that 78% of U.S. residents over 16 yearsold read a book in the past 12 months. They also foundthat 21% had read an e-book using a reader or computer during that period. A newspaper reporting on these find-ings concluded that 99% of U.S. adult residents had reada book in some fashion in the past year. (http://libraries.pewinternet.org/2012/04/04/the-rise-of-e-reading/) Do youagree? Explain.
- Repair calls are handled by one repairman at a photocopy shop. Repair time, including travel time, is exponentially distributed, with a mean of 2.5 hours per call. Requests for copier repairs come in at a mean rate of 2.0 per eight-hour day (assume Poisson). Determine the following:a. The average number of customers awaiting repairs. (Round your answer to 2 decimal places.) b. System utilization. (Round your answer to 2 decimal places.) c. The amount of time during an eight-hour day that the repairman is not out on a call. (Round your answer to 2 decimal places.) d. The probability of two or more customers in the system. (Do not round intermediate calculations. Round your answer to 4 decimal places.)Suppose that you wish to estimate the effect of class attendance on student performance. A basic model is examscore = β0 + β1attendance + β2priorGP A + u where examscore is students’ score on the exam (from 1 to 6), attendance is the number of TA sessions attended on Zoom (from 0 to 9), and priorGPA is the average exam grade last year. (a) Let internet be the quality of internet at the student’s study place. Do you think internet satisfies the independence assumption? What about the exclusion restriction? (b) Assuming that internet satisfies the conditions above, what other condition must internet satisfy in order to be a valid IV for attendance? (c) Suppose, we add the interaction term priorGP A × attendance. Interpret the coefficient on the interaction term. (d) (Difficult) If attendance is endogenous, then, in general, so is priorGP A × attendance. What might be a good IV for priorGP A × attendance?Cardiovascular DiseaseSuppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found.Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate.7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010.
- Cardiovascular DiseaseSuppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate.7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010.Virginia's Ron McPherson Electronics Corporation retains a service crew to repair machine breakdowns that occur on an average of λ= 2 per 8-hour workday (approximately Poisson in nature). The crew can service an average of μ = 10 machines per workday, with a repair time distribution that resembles the negative exponential distribution. The utilization rate of this service system = (round your response to two decimal places).Q2. You collected 500 weeks of data (2500 days total). Based on that you find Tuesday's mean return is 12 bps. Mean return of all days is 2 bps. Stdev across all days is 100 bps. There is no noticeable difference b/w Tuesday stdev vs other weekdays' stdev. Based on q1c find D Q1c. what is the mean log return and stdev of log return over one year period and four year period (assuming 252 trading days per year)? Q1d. based on Q1c what is the probably of losing money (negative log return) or doubling your money (total log return = ln(2)) over 1 year and 4 year period?