Відео

data view layi kuter setef alametaleghe ale esa

betam በጣም አሪፍ ነዉ እናመሰናለን ፡፡ እስኪ kechaleh be Supply chain management practices on Organizational performance related ye hon data te tikemeh sralen

ye ewnet libe mineka zimare new zelesegna betamnnew miwedew

Good and be strong

thank you!

💯💯💯👍👍👍👍

❤❤❤❤❤❤❤❤❤ ❤❤❤❤🎉🎉🎉🎉🎉🎉🎉🎉🎉

Thank you somuch !please review how to analysis

Betm arif new

thank you sir , it is a very clear , lecture

Nice

Next

What about with mediation variables

በጣምምም አመሰግናለሁ። በትልቁ በጣም በብዙ አግዘኸኛል። በርታልኝ

GREAT AND SO NICE APPROACH

Excellent explanation🙏🙏🙏

great lessen thank you

Data view lay kutir sinasgeba simochun mayametaw keminidinew?😢

this is very important. where i contact you

Good explanation 👏 👍 👌 😀

THANKS

thank you!

Fantastic

Many thanks

good teaching keep up it !!!

excellent teaching, keep it up!

betam new yewadadkut bartalin wendimachin qum neger mibalaw ehe new

Well done ❤

Nice❤

Nice

1. Enter the following data in SPSS, and then, Id number of students: MWU/01/11, MWU/02/11, MWU/03/11, MWU/04/11, MWU/05/11, MWU/06/11, MWU/07/11, MWU/08/11, MWU/09/11, MWU/10/11 Age of students: 19, 22, 23, 18, 27, 25, 27, 20, 21, 29 Gender of students: Female, Male, Male, Male, Male, Male, Male, Male, Male, Male Height of students in meter: 1.557, 1.678, 1.7, 1.898, 1.666, 1.5, 1.6, 1.645, 1.45, 1.77 Grade of introduction to statistics: B, A, B, C, C, D, A, B, B, C Students monthly average income in birr: 200, 750, 1200, 2300, 150, 3250, 350, 430, 780, 825 The date students starts Statistical Computing I class: 12/30/2021, 12/30/2021, 12/28/2021, 12/30/2021, 12/30/2021, 12/28/2021, 12/28/2021, 12/28/2021, 12/28/2021, 12/30/2021 a. Use the appropriate attributes! b. Assign the label value of 0=female and 1=male for sex variable. c. Create the new variable called “BMI” from weight and height of students. Use the formula of 𝐵𝑀𝐼 = ௐ௘௜௚௛ ு௘௜௚௛ d. Use Age variable, and then categorize it into “agecat” with values of 0 for <21 years, 1 for 22-25 years and 2 for >26 years’ students. e. Use sex variable, and then recode in to sex1 variable with values of 8888 for female and 999 for male. f. Without delating any data, select the data for female students only! 2. Use the demo.sav data set, then  Write the process/menu’s you followed to get the output, before displaying it,  Check the assumptions, where they needed, and  Write the brief description or interpretation for your outputs a. Compute and summarize the N, minimum, maximum, and mean for age, income and car variable b. What is the mean age for female groups? c. How many numbers of males are highly satisfied to their job? d. Create at least one using e. For variables like, Age in years (age), marital status (marital), house old income (income), price of primary vehicle (car) and level of education (ed) create at least one appropriate chart/graph from pie chart, histogram, simple, clustered and stacked bar chart. Please add the appropriate title, size, axis name, colors and footnote for all created charts. f. Use the same variables in (d) and compute the mean, median, and mode for the appropriate variables. g. For Age in years (age) and house old income (income) variables, compute the skewness and kurtosis, then summarize the result. h. Use variables listed in (d), and construct the frequency table for the nominal and ordinal variables. 3. Use “Employee” data set from SPSS samples, then  Identify the appropriate test for the claim  Write the possible null and alternative hypothesis,  Write all menus you followed to get the output,  Give the decision for your hypothesis test, and  Write the valid and clear interpretation for your output for the following questions. a. At 5% level of significant, is there enough evidence to say that the mean beginning salary of custodial is less than $30,000. b. Is there a significant difference between clerical and custodial job category on employees current salary? c. Is there a statistically significant difference between beginning salaries and current salaries of custodial? d. Assume the population variances among groups are constant, and the samples are from normality distribution, and then test the claim that there is no significant difference in job categories of employment (managerial, clerical and custodial) on their salary change. If there, which group(s) that is (are) significantly different? (Use salary change = current salary - beginning salary). Yasaralgn kachalk leh zare

great lesson thank you

Kale hiwot yasemalen zemare melaekt yasemalen yeaglglot zemenen yichmerlen

Great thanks for nice presentation

tiru ereditognal amseginalehu

በጣም ጥሩ ትምህርት ነዉ በፐርሰንት ወይንም በደረጃ ማለት ከፍተኛ መካከለኛና ዝቅተኛ ብለን እንዴት መተንተን እንችላለን

THANKS

The,best,lecture I ever seen. Short pricise and clear. Thamk you very much

You are brand lecture continue

it is good

Thankyou🙏🙏

Thanks

Short and precise,thank you.

nice

thank you so much, it was nice explanation. I have never tried SPSS. However now I will have do social science research, so it need

Good

በጣም ጥሩ ትምህርት ነው ለኔ በጣም ጠቅሞኛል ከልብ አመሰግናለው

dependent variable yileyal end coding

thank you so much dear

Good expanation