Answered You can buy a ready-made answer or pick a professional tutor to order an original one.
Analyze the data from Part 1 using Microsoft® Excel® software. Write a 700- to 875-word paper that includes the following information:
Part 2
Analyze the data from Part 1 using Microsoft® Excel® software.
Write a 700- to 875-word paper that includes the following information:
Describe what method you are using to compare groups.
Copy and paste the output into a Microsoft® Word document, and also answer the following questions:
What is the significance level of the comparison?
What was the alpha level you identified in Week 3?
What was the means and variance for each variable?
What was the test statistic?
What was the critical value for both the one- and two-tailed test?
Was your test one-tailed or two-tailed?
Were you able to reject the null hypothesis? In other words, did you prove there was a difference?
Talk about what these results mean in everyday language and in context to your chosen scenario.
Make a recommendation based on the findings.
Format your paper according to APA guidelines.
Example of Output You Would Use to Answer These Questions
t Test: Two-Sample Assuming Equal Variances
Variable 1
Variable 2
Mean
4.875
8
Variance
5.267857143
18.28571429
Observations
8
8
Pooled variance
11.77678571
Hypothesized mean difference
0
df
14
t stat
-1.821237697
P(T <= t) one-tail
0.045002328
t Critical one-tail
1.761310136
P(T <= t) two-tail
0.090004655
t Critical two-tail
2.144786688
- @
- 165 orders completed
- ANSWER
-
Tutor has posted answer for $12.00. See answer's preview
*********** ********** is a statement ***** population ***** ***** to be ******** based ** the sample which in indeed * ************** of ********** ** ********** ******* **** ********** ******** ** *** ***** ** * neutral ********* is ****** against ** *********** hypothesis ******** by H1) **** *** **** *********** ** ** **** ***** is ** *********** ********** ** the ******* ** two ****** **** is u1 * ** * **** ** ****** ******* *********** hypothesis *** there ** *********** ********** ** *** average of *** ****** **** ** ** * ** ** not equal ****** ******* ** ********** ******* ******** the ********* ***** ******* ******* *** ********** ***** *** ************ Second ** ** find *** ***** ** **** statistic *** lastly *** application ** ******** **** ***** ***** ****** I ****** *** null hypothesis ** * fail to ****** *** null hypothesis * ****** ** ***** of ************ (Alpha) ** 5% **** ** I will ** *** ********* about ** ******* ******* F E ***** ****** * * ********** ** *** *** ** *** ************ divided ** *** ***** number ** ************ *** **** *** ******** 1 and 2 *** 4875 *** 8 *** ******** ******** the ****** of dispersion **** ******** *** ******** * *** * *** 526 *** **** ************ *** *** values ** ********* ***** that **** ** ***************** ** *********** *********** **** ** **** ********* *** ******** ** ****** data ***** ** population **** * *** t **** *** *********** samples *** ******* ************ ** **** ********** *** **** statistic ** ***** ****** ***** ** **** statistic is ******** ** ** ******* ** ******** ****** for ** ***** ** ************ for a *** ****** **** ** ***** as t(a/2 n1+n2-2) = ******* ****** * t(005/2 *** * 2144 ***** **** ** a two ****** ********** *** *** ******** ****** *** ***** *** **** ****** below -2144 *** ***** 2144 is the ******** ********** ** * *** ****** data *** tailed or *** ****** ** based on *** *********** hypothesisThe ******** **** ** ***** ** ******* ******** ** ******** ***** ******** P-value ** *** *********** **** **** hypothesis is **** ** ******* is less **** ***** * ****** *** **** hypothesis ** alpha% ***** ** ************ otherwise I **** ** reject ** However the critical ***** ******** ** based ** *** concept **** ** *** ***** of **** ********* lies in ******* the ******** ****** *** then * reject the null ********* ** the ***** ** **** ********* ***** ** *** ********** of ******** region I **** ** reject *** **** Critical ****** ** ******* ** a ****** of ******* *** ***** **** ********** ** ******** ***** *** *********** of **** * error ** **** known ** **** of critical ****** ******* * E ***** ****** * * (1939)The ****** *** ******* *** ******* depends ** *** alternative ********** *** * *** tailed *********** ********** p-values is calculated ** * ** * ** ≥ * * ** While *** * **** ****** *********** ********** ******* ** calculated by * ** ≤ ** And *** * right tailed alternative ********** ******* is calculated by * (T *** ** **** is a **** of *** ****** ********** ***** ******* * ******* ** *** *** ******* **** 005 (alpha) * **** ** ****** *** **** hypothesis *** ******** that ***** is no *********** ********** ** *** ******* of *** groupsUsing ******** ***** ******** * can ******** **** ***** test doesn’t ********* **** ** the ******** ****** * ****** * ****** **** hypothesis ** 15% ***** ** ************ *** conclude ********* ** ** significant ********** ** *** ******* ** *** ******** ********** testing there *** ** * ***** ** ****** **** * and **** II Type I error ** ********* ** **** ********** **** ** ** actually true **** II ***** ** not ********* null ********** **** ** ** ******** ***** *********** ** **** * ***** ** ***** ***** *********** ** **** II error ** ***** as beta Wrongly ********* * **** ********** is considered **** ******* ** ******** ** wrongly ********* ******* **** I fail ** reject *** null ********** ***** ** a *********** of **** II error Appendixt ***** ********** ******** ***** ********* ******** 1 ******** 2Mean48758Variance52678571431828571429Observations88Pooled ****************************** mean **************** stat-1821237697P(T <= t) ******************* Critical ********************* <= ** two-tail0090004655t Critical two-tail2144786688 ReferencesBerenson * ****** * Szabat * * & ******** T * *********** ******** *********** Concepts and applications Pearson Higher ********* AUCroxton F * ***** Cowden D J ****** ******* ******* statisticsHeiman * ****** ********** sciences **** * (2nd *** ******** CT: ************** E ****** ****** * ******** **** Quantitative and Statistical ******** ******** From ********** ** ******* : ****** ******