Hcs/438 Dq's Essay

1. For the following scores, find the mean, median, and the mode. Which would be the most appropriate measure for this data set?

Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of

The mean for the median column is 3.6, which is close to the mean in question 2 but not as close as the answer in question 3.

Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability

Descriptive statistics are digits that are used to summarize and describe a given range of data (Klenke, 2008). Basic descriptive data includes, mean, median, mode, variance and standard deviation. The data can be rearranged in an ascending order as follows:

3. According to the authors, what are the “three simple steps to doing Statistics right?” 4. What

The last variable chose was number of prior drug convictions. The mean was .33 the median was 0 and the mode was 0. The mode is the most appropriate measure for this set of data because 957 people have had 0 prior drug convictions out of 1160. The next closest choice was 1 prior conviction with

Based on the given sample of student test scores of 50, 60, 74, 83, 83, 90, 90, 92, and 95 after rearranging them from least to greatest. As the mean is based on the average of sum, the average of this sample is 79.67 or 80. The mode refers to numbers that appear the most in a sequence and in this case 83 and 90 both appear twice. Range calculates the difference between the largest and smallest number, which are 95 and 50 which have a difference of 45. The variance is the difference between the sum of squares divided by the sample size, which is the number in the sample minus one (Hansen & Myers, 2012), meaning it takes each number of the set and subtracts

The LV team is eager to learn what statistical significance is and why it’s an important construct in the study and use of inferential statistics.

The mode is the most frequent score in our data set. On a histogram it represents the highest bar in a bar chart or histogram. You can, therefore, sometimes consider the mode as being the most popular option

“A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data (Laerd Statistics, 2013).” In terms of statistical data, the measurements could be mean, median, and mode. “The mean is equal to the sum of all the values in the data set divided by the number of values in the data set, the median is the middle score for a set of data that has been arranged in order of magnitude, and the mode is the most frequent score in our data set (Laerd Statistics, 2013).” BIMS can benefit from this type of statistical data because the company can get a good picture of the satisfaction

Statistical dispersion is measured by a number system. The measure would be zero, if all the data were the same. As the data varies, the measurement number increases. There are two purposes to organizing this data. The first is to show how different units seem similar, by choosing the proper statistic, or measurement. This is called central tendency. The second is to choose another statistic that shows how they differ. This is known as statistical variability. The most commonly used statistics are the mean (average), median (middle or half), and mode (most frequent data). After the data is collected, classified, summarized, and presented, then it is possible to move on to inferential statistics if there is enough data to draw a conclusion.

Data are the facts and figures that are collected, analyzed, and summarized for presentation and interpretation. Statistics was developed in the early 19th century as the study of populations, economies, and moral actions and later in that century as the mathematical tool for analyzing such numbers. Examples of Statistics that are used today are Mean, Median ,Mode and Range, Histograms and Stem and leaf plots. Sample survey methods are used to collect data from observational studies, and experimental design methods are used to collect data from experimental studies. The area of descriptive statistics is concerned primarily with methods of presenting and interpreting data using graphs, tables, and numerical summaries. Whenever statisticians use data from a sample., a subset of the population—to make statements about a population, they are performing statistical inference. The population is how many people i'm doing for my project which is 50 people. Estimation and hypothesis testing are procedures used to make statistical conclusions. Probability plays a key role in statistical inference, it is used to provide measures of the quality and precision of the inferences. Some of these methods are used primarily for single-variable studies, while others, such as regression and correlation analysis, are used to make inferences about relationships among two or more variables. A paradox is a statement that, despite apparently sound reasoning from true premises, leads to a self-contradictory or a logically unacceptable conclusion. The purpose of a paradox is to arrest attention and provoke fresh thought. An entertaining example is to determine the probability that in a randomly selected group of n people at least two have the same birthday. If one assumes for simplicity that a year contains 365 days and that each day is equally likely to be the birthday of a randomly selected person, then

These represent the range of the sale price. Lastly, I used the formula to get the standard deviation 48,945.28, which measures the variability.

Determining the mean and the median of the checking accounts for Century National Bank, we are trying to find the single value that will represent all 60 checking accounts in our sample. That single value will be measure of central tendency.