Statistics (from German: Statistik, orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation.
Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution's central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.
A standard statistical procedure involves the collection of data leading to a test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null hypothesis, two basic forms of error are recognized: Type I errors (null hypothesis is falsely rejected giving a "false positive") and Type II errors (null hypothesis fails to be rejected and an actual relationship between populations is missed giving a "false negative"). Multiple problems have come to be associated with this framework, ranging from obtaining a sufficient sample size to specifying an adequate null hypothesis.Measurement processes that generate statistical data are also subject to error. Many of these errors are classified as random (noise) or systematic (bias), but other types of errors (e.g., blunder, such as when an analyst reports incorrect units) can also occur. The presence of missing data or censoring may result in biased estimates and specific techniques have been developed to address these problems.
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Scam na ba Reshort, Ayaw na mag counted ang views nag test ako dalawang beses, 2 hours na lang pero di padin nag update statistics
Sa ibang site kasi pag nah test ka, automatic mag update . Para makita mo agad yung rate kung magkano.
Baka naman merong nakakaalam nito...
Wayback 2015 pa yung stats ko ni ngayon hindi ko nato alam...kahit yung part 2 lang sana...kahit brief explanation lang..
Which of the following is true of the null and alternative hypotheses?
a.
Exactly one hypothesis must be true
b.
both hypotheses must be true
c.
It is possible for both hypotheses to be true
d.
It is possible for neither hypothesis to be true
In a two tailed test, if the level of significance is set at 0.05, what is the area of the rejection region both sides?
a.
The rejection region both sides are 95%.
b.
The rejection region both sides are 99%.
c.
The rejection region both sides are 5%.
d.
The rejection region both sides...
“Is there a significant difference between the resiliency of male and female students?” is an example of ______ question.
a.
Inferential
b.
Associational
c.
Descriptive
d.
Correlational
Baka po meron pwedeng gumawa ng Chapter 4 namin. Willing po magbayad kahit pangmeryenda. Wag po sana sa sobrang mahal maningil. Rush na po kasi January 6 po deadline ng research.
Chapter 4 lang po need magawa.
Eto po lahat ng kailangan para magawa Chapter 4
GAYAS, DUMAPLIN, SAÑANO.docx
Head First Data Analysis - A Learners Guide ito ay magandang ebook para sa mga mahilig sa data analytics.
Nakakaengganyo po talaga.
Heto ang link.
Kung kinakailangan ang password, heto ang key: em9s
Kung may naghahanap man po sa inyo ng statistician or grammarian para sa thesis, dissertation, or kung ano man. Just pm me. I can help for a very low price (malaki kasi ang binabayad sa mga stat at grammarian e. Sakin, discounted na hahahaha)
My Assignment :
An internist randomly selected 20 diabetic patients and found to have a mean uric acid level of 10.8 with a standard deviation of 1.25. On the other hand, he also selected 12 hypertensive patients and found to have a mean uric acid level of 9.6 with a standard deviation of 1.45...
Mga sir/madame:
Patulong naman po, baka may samples po kayo nang Situational Quantitative Analysis using Inferential Statistics (ANOVA, Hypothesis Testing for 1 or 2 population).
Thanks in advance po.