A founder owns 100% of her startup. She is offered an equity investment by a VC investor, accepts, and eventually, undergoes two more rounds of financing, each time by another VC investor. The financing events are as follows: VC investor 1 steps in with $0.5 million at a pre-money value of $2 million; later, VC investor 2 contributes $3 million at a pre-money of $7 million; and, finally, VC investor 3 coughs up $5 million at a pre-money of $20 million. At that point, i.e. Round 3, what is the worth in stock of the founder, of VC1, of VC2, and of VC3? What percentage of the company does each own?All things being equal, why is a high pre money valuation good for the entrepreneur? Does this mean she should negotiate only for the best price? Why or why not?In "Silicon Valley", HBO's TV series, the founder of Pied Piper has two conflicting offers from different investors: $200,00 for 5% or $10,000,000 in cash. He chooses the first offer. What does that tell you?Explain briefly why the labels could not apply demand based pricing in recorded music sales before Apple iTunes. Source: Alhadeff, P., "The Value of Music and the Trappings of the Marketplace, 1990-2005"; MEIEA Journal, Vol. 6 No. 1, 2006, pp. 13-27; please find the PDF here.

Assignment: Computation by Hand Table 1: Survival Status Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193 Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points) Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points). Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points). Manually compute the Chi Square test statistic for this table (10 Points). Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points). Table 2: Survival Status Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193 Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points). Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points). Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points). Why is it important to know the effect of severity on the association of gender and survival? (10 Points) Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points) Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)? How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points). What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?

this is an epidemiology course in public health . see attach questions