Cluster Sampling : It is a type of sampling method in which the total population is divided into groups , known as clusters and then Simple Random Sampling of these clusters is selected from the population.
Then, we observe measure and interview each and every unit in the selected clusters. This technique is called Cluster Sampling.
In Cluster Sampling, groups (i,e, clusters) are selected by Simple Random Sampling.
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Range : The difference between the highest value and the lowest value.
For instance, Let {4,5,6,7,8}
here , the highest value is = 8 and
the lowest value is = 4
Range = Highest value - Lowest value = 8 - 4 = 4
.
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Mode : It is the value that occurs most in the data.
Or in other words, we can say that it is the value that has the highest frequency in the data.
For instance, Let some data be as the shoe size that have sold out within 15 days:
| Days | Shoe Sizes |
| 1 | 6 |
| 2 | 5 |
| 3 | 6 |
| 4 | 5 |
| 5 | 5 |
| 6 | 5 |
| 7 | 6 |
| 8 | 7 |
| 9 | 7 |
| 10 | 8 |
| 11 | 5 |
| 12 | 6 |
| 13 | 6 |
| 14 | 5 |
| 15 | 5 |
Now, we are creating the Frequency Table for above data,
| Shoe Size | Frequency |
| 5 | 7 |
| 6 | 5 |
| 7 | 2 |
| 8 | 1 |
So, here we can see that Shoe size number "5" has the highest frequency therefore Mode of this table is "5" .
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Cumulative Frequency: It is defined as the running total of frequencies. It is the sum of all previous frequencies to at the current point.
So, from above statement we concluded that the highest number in the cumulative frequency is the sum of total frequencies of the given values in the data.
For instance : let us take a cumulative frequency table for marks of 30 students,
| Marks |
Number of Students |
Cumulative Frequency |
| 0-5 | 2 | 2 |
| 5-10 | 8 | 10 |
| 10-15 | 13 | 23 |
| 15-20 | 7 | 30 |
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Another word for "Bar Graph" is "Rectangular Bar Graph" or "Line Graph" .
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Let us first discuss about "Cumulative frequency less than" and "Cumulative frequency greater than" .
Cumulative frequency less than : In this frequency distribution, the frequencies of all preceding classes are added to frequency of a class. It starts adding from first class to second class up to last class.
Cumulative frequency greater than : In this frequency distribution, the frequencies of all succeeding classes are added to frequency of a class. It starts adding of frequencies from last class to second last up to first class frequency.
The intersection of these two frequency curve results in the value of Median.
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Arithmetic Mean = It is the value of data point as calculated by sum of all given scores divided by number of observations.
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Mid-range : It is a measure of central tendency. it is the arithmetic mean (midpoint) of the maximum value and the minimum value that are arranged in an array that are given in the data .
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Cumulative frequency greater than : In this frequency distribution, the frequencies of all succeeding classes are added to frequency of a class. It starts adding of frequencies from last class to second last up to first class frequency.
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Width of the class interval : It is the difference between the upper class or lower class limits of the consecutive classes .
The lower limit for every is the smallest value of that class
and the upper limit for every class is the highest value of that class.
Types of sampling that groups are selected rather than individuals. Highest value minus the lowest value. ...
A psychologist is interested in the social interactions of preschool children. She measures the number of verbal interactions that each child at a preschool engages in during a day. The frequency distribution of the data is listed in the table below. Class Interval Frequency 6 - 15 1 16 - 25 2 26 - 35 3 36 - 45 3 46 - 55 4 56 - 65 10 66 - 75 7 76 - 85 6 86 - 95 4...
(C) If the confidence levels were 99.5% rather than 99.9% would
the margin of error be larger or smaller than the result in part
(a) ? Explain.
The margin of error would be ( larger or smaller ) , since ( an
increase or a decrease ) in the confidence level will ( decrease or
increase ) the critical value z a/2.
SAT scores: A college admissions officer takes a simple random sample of 100 entering freshmen and computes their...
little lose on step #3
1. The following data set represents the amount spent (in dollars) by 45 shoppers at a supermarket. Construct a frequency distribution for the variable, and also report the relative frequencies for each class in your frequency distribution. NOTE: the data is in dollars and cents; you can not change that data! 1081, 1269, 1378, 15.23, 15.62. 17.00, 17.39. 18.36. 1843. 1927, 19.50.1954. 20.16, 20.59, 22.22, 23.04, 2447. 24.58, 25.13, 26.24.26.26, 27.65, 28.06, 28.08, 28.38, 32.03,...
objective question
What is the mode and the mean for the following set of numbers? {4,9,8,2,16,4,4,8,9,6} O A. Mean = 7, mode =8 O B. Mean = 7, mode =4 O C. Mean = 6, mode =8 O D. Mean = 8, mode =9 You are conducting a survey of the people of the United Kingdom to find out how popular the racket sports are. You randomly choose people to call, and make 1,000 phone calls to people scattered across...
4- Variance and Standard deviation (how far the data values lie from the mean) The mean, mode, and median do a nice job in telling where the center of the data set is, but often we are interested in more. For example, a pharmaceutical engineer develops a new drug that regulates iron in the blood. Suppose she finds out that the average sugar content after taking the medication is the optimal level. This does not mean that the drug is...
A manufacturer produces 25-pound lifting weights. The lowest actual weight is 24 pounds, and the highest is 26 pounds. Each weight is equally likely so the distribution of weights is uniform. A sample of 100 weights is taken. a. What is the distribution for the weights of one 25-pound lifting weight? What is the mean and standard deviation? b. What is the distribution for the mean weight of 100 25-pound lifting weights? c. Find the probability that the mean actual...
1) Come up with a single (one) question or problem
2) Think of an example with 30 data points
a. This data needs to be of a quantitative variable
(numbers).
3) Then proceed to follow the below steps.
example of 30 quantitative data points
Purpose
State how, when, and where data was collected
List of raw data pairs
Frequency distribution (table)
Histogram
Relative percentage polygon
Sample mean
Sample median
Sample mode(s)
Sample range
Sample variance
Sample standard deviation
Coefficient of...
2.3.1 In a study of the oral home care practice and reasons for seeking dental care among individuals on renal dialysis, Atassi (A-1) studied 90 subjects on renal dialysis. The oral hygiene status of all subjects was examined using a plaque index with a range of 0 to 3 10 = no soft plaque deposits, + + FIGURE 2.3.8 Stem-and-leaf display prepared by MINITAB from the data on subjects’ ages shown in Table 2.2.1; class interval width " 5. Stem-and-leaf...
A Waist is a Terrible Thing to Mind: The waist circumference of males 20 to 29 years ele is approximately normally distributed, with mean 92.5 cm and standard deviation 13.5 Source: M.A. McDowell. CD. Fryar.R. Hirs for Children and Adults: U.S. Population. 1999-2002. Advance data from vital and health statistics: No. 361. Hyattsville, MD: National Center for Health Statistics, 2005. d CL. Ogden, Anthropometric Reference Data 5. Draw a normal curve with the parameters labeled. 92.5 What proportion of 20-...
2) Populations versus samples. For each statement, answer with either population, sample, or both. A) The complete set of information. B) A portion, not all, of the information. C) Has the potential to be biased or misleading. D) Measured or summarized with parameters. E) Measured or summarized with statistics. 3) Descriptive versus inferential statistics. For each statement, answer with either descriptive or inferential statistics. A) Facts about samples. B) Educated guesses about populations based on samples. C) The world population...