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How profitable are different sectors of the stock market? One way to answer such question to examine profit as percentage of stockholder equity random sample of 35 ...

Question

How profitable are different sectors of the stock market? One way to answer such question to examine profit as percentage of stockholder equity random sample of 35 retail stocks such as Toys 'R Best Buy, and Gap was studied for X1, profit as percentage of stockholder equity: The result as 13.6. random sample of 36 utility (gas ad electric) stocks such Boston Edison_ Wisconsin Energy, and Texas Utilities was studied for Xz, profit as percentage of stockholder equity. The result was Xz 9.3. A

How profitable are different sectors of the stock market? One way to answer such question to examine profit as percentage of stockholder equity random sample of 35 retail stocks such as Toys 'R Best Buy, and Gap was studied for X1, profit as percentage of stockholder equity: The result as 13.6. random sample of 36 utility (gas ad electric) stocks such Boston Edison_ Wisconsin Energy, and Texas Utilities was studied for Xz, profit as percentage of stockholder equity. The result was Xz 9.3. Assume that 01 3.1 and 02 3.2. Categorize the problem below according to parameter being estimated, proportion mean /, difference of means /l1 H2, Or difference of proportions P1 Pz . Then solve the problem: (b) Let /i represent the population mean profit as percentage of stockholder equity for retail stocks, and let /2 represent the population mean profit as percentage of stockholder equity for utility stocks_ Find 95% confidence interval for 41 Hz. (Use decimal place. Lnerunutl (c) Examine the confidence interva and explain what means in the context of this problem_ Does the interval consist of numbers that are all positive? all negative? of different signs? At the 95%0 level of confidence, does it appear that the profit as percentage of stockholder equity for retail stocks higher than that for utility stocks? Because the interva contains only positive numbers, we can say that the profit as percentage stockholder equity is higher for retail stocks Because the interval contains both positive and negative numbers_ we can not say that the profit as percentage of stockholder equity is higher for retail stocks: We can not make any conclusions using this confidence interval: Because the interval contains only negative numbers we can Say that the profit as percentage of stockholder equity higher for utility stocks.



Answers

Earnings Per Share One of the measures used by financial analysts to evaluate the financial strength of a company is eam ings per share. This number is found by taking the total profit of the company and dividing by the number of shares of stock that the company has sold to investors. If the company has a loss instead of a profit, the earnings per share is a negative number. In a bar graph, a profit is shown by a bar extending above the horizontal axis, and a loss is shown by a bar extending below the horizontal axis. The figure at the right shows the predicted earnings per share for Mycopen for the years 2014 through $2019 .$ Use this graph for Exercises 121 to 124 a. What are the predicted earnings per share for Mycopen in $2015 ?$ b. What are the predicted earnings per share for Mycopen in $2017 ?$

20 for Question eight. X Bar is equal to the sum of the numbers over, and it is 178 point 6/35. Just 5.1 question Beanie. So the confidence interval is export. Most of our negative them off over two times signal over square Root band, so export is 5.1 post of all negatives of off over two were all over two is 1.1 so is equal to 1.28 times Sigma 3.8 over square root for 35. So the interview is 4.2778 to 5.922 and two. Full question. See the confidence interval does not contain three thousands dollars, nor any value smaller than 3000 is indicated that $3000 per employee is somewhat low compared to other, uh, retailer, uh, stores. So the answer is yes. So which, indeed, the confidence interval does not contain a 6.5000 or more over 6.5 lives completely about the confidence interval. This means that 6.5000 it's some what high compared with other retail stores, Uh, for Christian E. Uh, using the same confidence in terrible but with all for over two is equal to open toe. Five. The confidence interval with that right is equal to 3.8 41126.35 is mine. So the confidence interval lives completely above $3000 and thus $3000 might be somewhat low compared with other clear retailers and confidence interval is completely below 6.5000 and 6.5000 might be somewhat high compared with other retailers mhm.

Starting with part A of this question, we can see that our level of significance is going to be 0.1 As given to us in the question are no hypothesis is going to be that he was equal to 28 which is also given to us, and our alternate hypothesis that we are going to form is going to be that he was not equal to 28 because that is what the question is asking us to test. It does not matter if he was greater than or equal or greater than or less than and sensitive or not equals. We are using a two tailed test, we know that this is a normal distribution because it is given to us in the problem. And since it's a normal distribution, we use this formula to calculate our Z score, using this formula and we have all of these values given to us. In our question, we have 32.7 for our average 28 for our mule 4.75 for our standard deviation and the square root of our sample size which is seven doing this math be at 2.618 Now finding our P value with our Z score and our normal CDF function on our calculator, we can find there are P value is going to be 0.9 and moving on to part D. Where we compare our p value of 0.9 with our level of significance. We find in our P value is less than our level of significance. Because of this we reject or no hypothesis. And since we are rejecting the null hypothesis it means we can accept the alternate hypothesis. So we conclude that Rogers blood cell count, Mhm. Is yeah different from the meal.

So we're going to do some hypothesis testing in regards to Atlantic salmon caught per day. We're told that the mean is 8.8 catches per day From our sample. We have 7.36 and a standard deviation of 4.03. And the first thing we're asked to do is use our calculator too. See if that is actually the mean. So Stat # one Edit and then I'm going to enter the information. I'm going to pause the video. So my information is enlist one. Now I select stat over to Calcutta number one, List one cursor down to calculate and enter, and indeed, my mean is 7.36 rounded and 4.03 rounded. So now I need to test, Do my hypothesis testing and I'm told that my significance level is 5%,, Which is 0.05. So my null hypothesis nothing changes. Mu is indeed 8.8. My alternative hypothesis μ is not 8.8. I opened up my calculator again stat over two tests. I'm using the student T distribution because I do not know the standard deviation of my population. So that's number two. And New is 8.8. Now it has, I'm gonna go ahead and clear these out. It has the values based on based on my stats, and I want to use the ones that are actually given to us in the test because using a different one will change the outcome. The p value just a little bit. And then Our sample size was 14, 8, 10, 12, 14. We want not equal to first her down to calculate, press enter and there's my T. Value of negative 1.337 rounded. My p value is .2 zero 42 rounded. So my test statistic Is approximately negative 1.337. My p value Is approximately 0.2042. Oh let's see. And then if you're asked to draw the curve, I can't remember. You would put negative 1.337 here, 1.337 here and then shade on either side. Because you're doing a two tailed test. Now I take this value and compare it to alpha. And I can see that 0.2042 is indeed greater than 0.05. So that means I fail to accept the null. Mhm. So at The 5% level of significance, Okay, there is not sufficient evidence that the average number catches her day is different. That one off my screen. Sorry about that Than 8.8.

Okay, so there's only one year which Michael Penn had a profit, and that's, um, the block. With that. Jill stood up in 2018 with a profit of 11.


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