How to use “used to” in English

There’s a big difference between used to live - to talk about past habits or states and is used to doing - to talk about something that you are now familiar with.

For example, a common mistake is “I am used to study.”
Do you mean that you used to study, but you don’t study any more, or do you mean that you know about studying?
Avoid making mistakes by remembering the verb pattern.
Used to + verb describes a past habit or state.

For example:
He used to smoke, but he doesn’t now.”
To be used to + verb with ing describes something that you are now familiar with.

For example:
“Five years ago, I didn’t know about the internet. Now I am used to working with it.”

Lupa Password Windows XP?

Kalo lupa password administrator Windows XP boleh coba,
-Hidupkan PC, masuk ke Safe Mode Windows, (ketika PC dalam keadaan POST (Power On Self Test, Press F8)
-Login ke salah satu user non administrator yg tanpa passwd atw yg inget passwd-nya.
-Setelah masuk ke OS, pilih start -> run -> ketik CMD .
-Setelah masuk ke command prompt, ketik C:\Windows\System32
-Demi keamanan back up file bernama logon.scr, ketik copy logon.scr to logon.bak (nama file back up bebas)
-Buat back up cmd.exe, ketikkan copy CMD.EXE logon.scr
-Ubah password administrator, di direktori c:\windows\System32, ketik net user administrator passwordbaruku
-Muncul pesan, password berhasil di update
-Restart pc,
-Pada beberapa konfigurasi system operasi cara ini tidak berhasil dijalankan.,
-Solusi lain pake utility seperti solusi pertama…
Have a nice try !!

Descriptive Statistics

Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data.
Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistics you are simply describing what is or what the data shows. With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what’s going on in our data.

Descriptive Statistics are used to present quantitative descriptions in a manageable form. In a research study we may have lots of measures. Or we may measure a large number of people on any measure. Descriptive statistics help us to simply large amounts of data in a sensible way. Each descriptive statistic reduces lots of data into a simpler summary. For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average. This single number is simply the number of hits divided by the number of times at bat (reported to three significant digits). A batter who is hitting .333 is getting a hit one time in every three at bats. One batting .250 is hitting one time in four. The single number describes a large number of discrete events. Or, consider the scourge of many students, the Grade Point Average (GPA). This single number describes the general performance of a student across a potentially wide range of course experiences.

Every time you try to describe a large set of observations with a single indicator you run the risk of distorting the original data or losing important detail. The batting average doesn’t tell you whether the batter is hitting home runs or singles. It doesn’t tell whether she’s been in a slump or on a streak. The GPA doesn’t tell you whether the student was in difficult courses or easy ones, or whether they were courses in their major field or in other disciplines. Even given these limitations, descriptive statistics provide a powerful summary that may enable comparisons across people or other units.