Question: please explain what to do on excel for each number in detail. Please complete the following set of exercises. The data set Computer_Exereise4.xlsx is retrieved

please explain what to do on excel for each number in detail.

please explain what to do on excel for each
Please complete the following set of exercises. The data set \"Computer_Exereise4.xlsx\" is retrieved from II'B/E/S International Inc. It contains buy-sell-hold recommendations for the stock of the Boeing Co. (Ticker code "BA") from a wide cross section ofindividual professional analyst for the time period between November I993 and December 202 I. 1. By denition, a random variable, Y, needs to have a numerical outcome. Generate a new data series of outcomes, y, corresponding the analysts' recommendations as foIIOWs: 0 yil if recommendation is \"STRONG BUY\" 0 ya: if recommendation is \"BUY\" O 3152 if recommendation is \"HOLD\" 0 315:] if recommendation is \"UNDERPERFORM\" ' 3.15:0 if recommendation is \"SELL\" 2. Assume that the analysts' recommendations in the data set are a random sample drawn from an underlying population of analysts' recommendation, Y. Assume throughout this exercise that Y has a Normal probability distribution with unknown mean, )1, and unknown variance, 02.' Compute an unbiased estimate for p and an unbiased estimate for 62. (lfyou know more than one unbiased estimator for u, take the one with the smaller sampling variance.) 3. Denote the sample-average estimate as :t 7 1 y:;' Ya I ll H What is the standard error of )7, i.e. 59(y)? 4. Taking the assumptions in 2. for granted, compute the following confidence intervals for it: 90%, 95%-, and 99%-condence interval. 5. Interpret the confidence intervals in 4. What can you conclude with respect to the (unknown) true population mean of analysts' recommendation? 6. Compute the 95%condence interval for u, again, this time relying on the rule ofthumb (see lecture slides). Is this interval very different from the 95%-condence interval Computed in 4.? 7. Under the same assumptions as 4., evaluate the null hypothesis that the mean recommendation in the population is \"HOLD\

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