There are 4 basic sampling methods we have learned do far: simple random sampling, stratified sampling, clusters and systematic sampling. When we do experiments we need to use the right sampling method in order to make the experiment useful and successful. First, simple random sampling; it gives a sample selected in a way that gives every different sample of size n an equal chance of being selected. Second, stratified sampling; it divides a population into subgroups and then takes a separate random sample from each stratum. Next, cluster sampling; it divides a population into subgroups and forms a sample by randomly selecting clusters and includes all individuals or objects in the selected clusters in the sample. The last one is systematic sampling; a sample selected from an ordered arrangement of a population by choosing a starting point at random from the first n individuals on the list and then selecting every nth individual thereafter. In an experiment we want to select and test the sex of a pond of fish. We cannot use census so we need to use sampling. So we use the simple random sampling.

Stem plot A stemplot (or stem-and-leaf display), in statistics, is a device for presenting quantitative data in a graphical format, similar to a histogram, to assist in visualizing the shape of a distribution. Unlike histograms, stemplots retain the original data to at least two significant digits, and put the data in order, thereby easing the move to order-based inference and non-parametric statistics. To construct a stem plot, the observations must first be sorted in ascending order: this can be done most easily if working by hand by constructing a draft of the stem and leaf plot with the leaves unsorted, then sorting the leaves to produce the final stem and leaf plot. Here is the sorted set of data values that will be used in the following example: 44 46 47 49 63 64 66 68 68 72 72 75 76 81 84 88 106 Next, it must be determined what the stems will...

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References 15
Question 1
The samplingmethod that Mr. Kwok is using is Stratified Random SamplingMethod. In this case study, Mr Kwok collected a random sample of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok...

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Sampling methodologies
Sampling
It may be defined as a process of selecting units that may be people, organizations etc, from a larger whole i.e. from a population of interest, so that by studying the sample we may come up with general characteristics of the entire population under consideration.
Types of samplingmethods:
Probability sampling
Probability sampling is a type of...

...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...

...1. A density curve consists of a straight line segment that begins at the origin (0, 0) and has
slope of 1.
a. Sketch this density curve. What are the coordinates of the right endpoint of the segment?
(Note that the right endpoint should be fixed so that the total area under the curve is 1.
This is required for a valid density curve.)
b. Determine the median, the first quartile (Q1), and the third quartile (Q3).
...

...distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves.
Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the...

...Air Force Assignment
1. Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?
Descriptive analysis in excel has been used to come up with relevant figures of the given data samples which is tabulated below:
Descriptive Statistics | Current | Proposed |
Mean | 75.06557 | 75.42623 |
Standard Error | 0.505094 | 0.32091 |
Median | 76 |...

...Statistical Data Analyses
Graeme Ferdinand D. Armecin, MHSS
Outline of Presentation
Overview of Research Designs Functions of StatisticsSampling Principles of Analysis and Interpretation (with Computer Package) – Descriptive Statistics – Inferential Statistics
Graeme Ferdinand D. Armecin, MHSS
Statistical Data Analyses
Purposes of Research Design
Exploratory/Descriptive Research design – Basic or...

...alternative hypothesis should state µ1 − µ2 > 0 ANSWER: c
2.
A Type I error is committed when a. a true alternative hypothesis is not accepted b. a true null hypothesis is rejected c. the critical value is greater than the value of the test statistic d. sample data contradict the null hypothesis ANSWER: b In determining an interval estimate of a population mean when σ is unknown, we use a t distribution with a. n − 1 degrees of freedom
3.
b. c. d. ANSWER: 4.
n...