Stock A has an expected return of 12% and a standard deviation of 40%. Stock B has an expected return of 18% and a standard deviation of 60%. The correlation coefficient between Stocks A and B is 0.2. What are the expected return and standard deviation of a portfolio invested 30% in Stock A and 70% in Stock B? please use excel to solve standard deviation on prortfolio

why is one standard error unit not a good choice for the error bars that relate to the trendline?

Jeremiah earned a score of 530 on Exam A that had a mean of 450 and a standard deviation of 40. He is about to take Exam B that has a mean of 63 and a standard deviation of 20. How well must Jeremiah score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.

Zazil’s Instagram reels over the year have averaged around 70 likes per art reel with a standard deviation of 12. Since using trending music over her art reels, several of them have recently gone viral, averaging 120 likes with a standard deviation of 6. Zazil would like to know if adding trendy music over a reel increases her average likes. How do we use a Z-Test to test to calculate the data and determine if we reject or fail to reject the null hypothesis?

do number (d), (e), and (f) please

Word-e and Talk2U are two social media apps in which users can post messages in text. The character counts for posts on Word-e have a population mean of 96 and a standard deviation of 15. The character counts for posts on Talk2u have a population mean of 355 and a standard deviation of 39. For each.app, the distribution of the character counts is clearly bell-shaped Trey's last post on Word-e was 145 characters. Ryan's last post on Talk2U was 251 characters. (a) Find the z-scores of Trey's last post as a post on Word-e and Ryan's last post as a post on Talk2U. Round your answers to two decimal places. z-score of Trey's post: z-score of Ryan's post: (b) Relative to its population, which post was shorter? Choose the best answer based on the z-scores of the two posts. O Trey's post O Ryan's post O It is unclear which post was shorter relative to its population Explanation X X 5 Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility P B

times for a surgical procedure are normally distributed. there are two methods. method a has a mean of 29 minutes and a standard deviation of 5 minutes, while method b has a mean of 33 minutes and a standard deviation of 25 minutes. which procedure is preferred if the procedure must be completed within 37 minutes. method a, b, or either method

Define Test a correlation for significance?

A manufacturer of compact fluorescent light bulbs advertises that the distribution of the lifespans of these light bulbs is nearly normal with a mean of 9,000 hours and a standard deviation of 1,000 hours.   (a) What is the probability that a randomly chosen light bulb lasts more than 10,000 hours? equation editor Equation Editor %   (b) What is the sample standard deviation of the mean lifespan of 64 randomly chosen lightbulbs? equation editor Equation Editor (round to the nearest integer)   (c) What is the probability that the mean lifespan of 64 randomly chosen light bulbs falls between 8875 hours and 9125 hours? equation editor Equation Editor %   (d) Would you expect the mean lifespan of 64 randomly chosen light bulbs to be greater than 10,000 hours?   YesNo

Data were recorded for 117 months on a household's gas bill (in dollars) and the average monthly temperatures for its neighborhood. The mean monthly temperature was 48.7°F with a standard deviation of 20.6. The mean gas bill price was $81.20 with a standard deviation of 66.5. The correlation coefficient between monthly temperature and gas bill price is -0.92. 22) Determine the correct value of the slope for the linear model that predicts gas bill price from monthly temperature and interpret it in context. The slope is - 2.97. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $2.97. The slope is - 0.28. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $0.28. The slope is - 2.97. For every one dollar increase in gas bill price, the monthly temperature is predicted to decrease by 2.97°. The slope is - 0.28. For every one dollar increase in gas bill price, the monthly temperature…