Explain a range of decision-making processes that can be...

Explain a range of decision-making processes that can be applied to ensure that effective outcomes are achieved. (AC 1.4) Explain a range of decision-making processes. (AC1.4) Short references should be added into your narrative below. Please remember to only list your long references in the reference box provided at the end of this section. Wordcount: Approximately 400 words. Type here... AC1.4 Explain a range of decision-making processes that can be applied to ensure that effective outcomes can be achieved. (Approximately 400 words) KEY FOCUS AREA. Decision making refers to making choices on alternative courses of action - which may also include inaction- which should ensure you achieve an effective outcome. Explain a minimum of 3 decision-making processes used by the people professional, that can be used to make the best possible decisions You could include - Future pacing/decision matrix/force field analysis/ brainstorming/the reframing matrix/ constructive controversy/ empathy mapping/ De Bono's 6 Thinking Hats

Transcript

00:01 In this question we are provided here a data table in the terms of ages, age and cholesterol level in age.

00:13 So first of all, to solve a question, we have to look at data table.

00:17 So here is the table.

00:18 Here we have placed age which is 59, 69, 43 and so on.

00:23 Calistrol levels are in the second row.

00:27 So now our first solution of the question will be we have to find our value for both.

00:34 Bar x sample mean so that is 1 upon x submission of x i which will be equal to 1 upon 10 sum of all values i is equal to 1 to 10 of x i and our value will be equal to 51 .2 similarly we will find here value for submission of i is equal to 1 to 10 x i coel square so here's the value and we have to just put them into the square and that is equal to 28 .110.

01:13 Then after we will find our value for i is equal to 1 to 10 for x i y i is equal to when we calculate by using excel we will get 98307 and then values for y will be as y bar which will be equal to 189 .6.

01:34 Summission of y i squared is equal to 364 -280.

01:43 So we will find our sum of square sum of xx is equal to summation of i is equal to 1 to 10.

01:50 For x i .2 .10 x bar square which is equal to 1845 .6 sum of y y is equal to summation of i is equal to 1 to 10.

02:09 For y i square minus 10 y square which is equal to y bar square i'm sorry which is equal to 4798 .4 so therefore value of s xy which is equal to as for formula i is equal to 1 to 10 x i by i which has to be subtracted by 10 times of y bar x bar and that is equal to to 1231 .8.

02:44 So here we are getting our values and now we can find our mean square error mean square error by using a formula 1 minus r squared s y divided by n minus 2 which is 10 minus 2 over here so that is equal to 499 .759 and therefore our value for r will be equal to s xy divided by a square root of s xy s y y and that will be calculated as 0 .408 4 so now our beta 1 cap for the correlation is s xy divided by s x x which is equal to 0 .698 i have calculated these values by using excel formulas.

03:47 So therefore we can set her null hypothesis as h -o is to beta 1 is equal to 0 and alternative hypothesis as h1 is to beta 1 which is not equal to 0.

04:08 So here we have taken where beta 1 is equal to true slope so as per the test statics test statics t is equal to beta 1 cap divided by s 8 multiplied by beta 1 cap so we can put our direct pally's over here 0 .6498 divided by 0 .5135 and that is equal to 1 .266 and beta 1 cap is equal to square root of mean square error divided by s x xxx.

04:57 And this time this is equal to 0 .5135 beta 1 cap.

05:04 So we are having our beta 1 cap value also and then after our p value and this is a two tail test so this implies us as 2p t is greater than 1 .266 t at 8 so we will get here 2 multiplied by 0 .12 0 .06 and therefore 0 .241 is greater than level of significance which is 0 .5 alpha...

Question

Please give Ace some feedback