Everywhere you go, everything you see, statistics is all around. I for one, did not realize how important and relevant statistics was in our everyday lives until taking this course. Everything is run by statistics; the kind of coffee available in Dunkin’ Donuts, the flavors of ice cream at Dairy Queen, and even the clothes we buy in stores. Statistics evaluates what works in our growing and complex society nowadays. All of these selections would not be available to us without the statistical backing that they will sell and that people enjoy them. I actually play video games competitively and travel to competitions to win money. I pick and choose my teammates almost solely based on the statistics that are on the leaderboards. If they have a combination of a high-win loss ratio, high accuracy, and a high points per-match; then they must be a good addition to the team. Of course there are other factors such as communication and team chemistry, but these can be improved and worked on over time. Statistics is also evident in school. When reflecting upon my passed academic endeavors, I’ve realized that everything is also based on statistics. Grade point average almost always determines what other colleges you can gain admittance to, as well as earning scholarships and awards. Also statisticaly evaluated at times is SAT scores. Through statistics students are placed in different group levels by their individual grades. Even in sports statistics can be found. Baseball batters are evaluated based on their batting averages. There is even a slugging average which is different than batting average and determines how often they achieve extra-base hits. In my major, statistics is also very important. I am a Psychology Major and in this area of studies, I will be dealing with a ton of studies which are all about statistical calculations and experiments. In this field they used Simple Random Sampling, probability sampling and convenience sampling. An...

...analysis, other decision making techniques are discussed. These techniques
include decision analysis, project scheduling and network models.
Chapter 1 illustrates a number of ways to summarise the information in data sets, also known as
descriptive statistics. It includes graphical and tabular summaries, as well as summary measures
such as means, medians and standard deviations.
Uncertainty is a key aspect of most business problems. To deal with uncertainty, we need a basic...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times...

...Concepts
1. What is Inferential statistics?
Inferential statistics uses observations of past occurrences or available data i.e. descriptive statistics to make decisions about future possibilities and/or the nature of the entire body of data. Inferential statistics draws conclusions or makes interpretations, predictions and inferences about a population based upon an analysis of a sample.
2. Give 2 different techniques which are...

...grams. D) 95% of reduced fat cookies have between 3.4 and 5 grams of fat. E) 95% of the cookies in the sample had between 3.4 and 5 grams of fat. Determine the margin of error in estimating the population parameter. 12) How tall is your average statistics classmate? To determine this, you measure the height of a random sample of 15 of your 100 fellow students, finding a 95% confidence interval for the mean height of 67.25 to 69.75 inches. A) 1.5 inches B) 0.25 inches C) 1.06...

...the sample.
6. Measures of dispersion: range, the interquartile range, the variance, and the standard deviation. What do these measures tell you about the “spread” of the data? Why is it important to spend time performing basic descriptive statistics prior to conducting inferential statistical tests?
Variance of a sample = S2 = =
Standard Deviation of sample S=
Range is the difference between the highest and the lowest values (250-100) = 150...

...Lecture Notes on Introductory Statistics, I
(P.P. Leung)
Lecture notes are based on the following textbook:
N.A. Weiss (2012), Introductory Statistics, 9th edition, Pearson.
Chapter 1 The Nature of Statistics 統計本質
§1.1 Two kinds of Statistics
§1.4 Other Sampling Designs (其他抽樣方法)
Chapter 1 The Nature of Statistics 統計本質
What is Statistics? 何謂統計?
From Wikipedia, the free...

...Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean...

...the written application of operation. It teaches students to think clearly, reason well and strategize effectively. Mental Mathematics is the ability to utilise mathematical skills to solve problems mentally. The marks scored by pupils generate statistics which are used by teachers to analyse a student’s performance and development of theories to explain the differences in performance.
The Standard 3 class is where the transition from junior to senior level occurs where...

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