These individuals are involved in white-collar jobs and have obtained a high level of education to obtain their positions. The problem is that this population represents a small number of people throughout the world. If LinkedIn has to grow and has to increase the number of members, it has to target a younger portion of the population.
e resulting information in the reports can then be used by both statisticians and decision makers to understand the facts pertaining to a particular business issue of interest.
One common use of analyzed data in comparing business performance can be seen in the use of different
Low price of food items also encourages people to dine at a restaurant and has also increased the number of restaurants in London. Similarly, the Board of Directors of the restaurant is planning to open a second outlet of the
Therefore, the main aim of the study was to analyze the collected data and determine the level of influence of these variables on the price of housing using different model of regression. These five variables were taken to be independent variables but the price of housing was
Example Library conducted a user survey using a set of questionnaires that sought to determine the demography as well as the interests of their customers. The researchers have used exploratory questionnaires in their research and therefore the data collected is purely qualitative with no need for statistical evaluation (Pickard, 2007).
Baker, on the same topic.
When conducting a research on any issue, variables that influence the main problem must be determined. Different problems have different number of variables. The number of variables is dependent on the scope and the nature of the
On the contrary, quantitative data deals with the collection of numeric values. Ironically, differences have been also observed pertaining to the predictions about themes and patterns in data to the actual results obtained (Pavitt, 1984).
The independent-samples t-test is used in order to compare the means between two unrelated groups on the same continuous, dependent variable (Statistics.laerd.com, 2014). A t-test is one of the most widely used statistical
The effect of income is not clear, given that higher income does not guarantee higher life expectancy and vice versa.
In a nutshell, income slightly influences life expectancy, but might not be as a good predictor due to the
Scatter plots are appropriate for examining the relationship between two numeric variables. In the case scenario we are exploring the relationship between age and height. Pearsons correlation is used to examine the strength of a linear relationship
According to the latest financial report of Google.inc it has been found that they are in a great position when it comes to debt ratio, the debt ratio is 0.02 which means that they have more assets than debt and the debt can be paid off very easily so the
der broader subcategories of earnings and expenditures which includes various expenses including food, clothing, entertainment, tuition fees, rent, and so on. This categorization allows me to have a clear idea of my expenses and lets me adjust my spending to keep track of my
After the collection of data and information, multi-linear regression is carried out, in analyzing and interpreting the information. The research question focuses on whether movies break even at the initial release in the box office.
Two nominal variables: time of year and poplar clone, and one quantity variable were selected. Since the researchers could not establish through parametric means the distribution of the data, they applied the
Therefore, descriptive statistics refers to the type of statistical procedures whose key role is to describe a set of data provided. In addition, it uses numerical measures so as to present the features of a data set.
ystematic reviews and the traditional reviews in the manner in which each is conducted; the author asserts that meta-analysis is one of the components of systematic reviews that involve the use of statistical techniques and applying it in the synthesis of data from various
If he uses systematic sampling, determine the following:
6. A family has two children. Let x be a random variable which represents the number of girls the family can have. Construct a probability distribution which shows the possible number of girls the family can
I chose to collect the data on Thursday in the morning for consistency and simplicity. I also chose this day because it is a business working day of the week meaning that the data collected would display the real information of traffic on the street. I also chose to count trucks and cars in the afternoon on the same day.
The technique also offers a smoothed line free from whipsawing fluctuation in response to the prevailing tentative price dynamic. Moreover, it provides the sustainable level that depicts resistance. Product 8 records relatively higher sales within the 8d1 while the worst performing stores were 8a1 and 8c1.
The aim of the analysis is to investigate how each of the independent variables (the number of full-time employees, number of part-time employees, total number of hours input by employees, and the size of the sales’ store) affects the response (sales
In what follows question 4, from page 686, Chapter 12 is chosen as an instance of a implied connection misrepresentation and question 18, page 688, Chapter 12 is discussed to elaborate on the notion of a suspect sample error as well as to point out how to tread carefully
I used to hear a lot of news talking of stock market but I was not in a position to internalize what mathematical equations were behind the determination of future stock exchange. Through statistical knowledge that I have acquired, I am now in a position to
Research about known statistics about the learners’ approach to the subject of mathematics indicates that they are applicable to the real world. It is either they have a positive or negative attitude towards the subject. Thus, there is no
We needed to formulate our null hypothesis: an objective which the study was meant to achieve. That is, supposing the sampled prices were the true representative of the entire population, we needed to inspect whether a significant difference existed in means, with respect to the two property prices, at 95% confidence interval.
Real world applications of statistics are often limited by the constraints of data and complexities that defy intuition. While we can readily detect a difference in the mean of several samples, the factors that impact the variance are not so apparent. The variance among samples may be due to an independent variable or be the result of random errors.
The simplest way to find out the nature of the relationship between any two variables is to form a scatter diagram. In the present case, the objective is to find out how output per worker in the mining industry is related to the number of working hours and the level of earnings. Two diagrams can be used to find out what kind of correlations exist.
3. You will also need to submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions. ***THIS MUST BE A .SPV file. I only have the newest version of SPSS. .SPO files do not open nor convert in my program.
Subsequently, the present research implemented t tests, nonparametric tests, and regression analysis in examining potential determining factors of these elements.
A regression analysis was carried out to determine the impact
If I came across someone who did not smoke, I simply moved onto the next person. The graph above shows the results of the survey that I conducted with male smokers. On average, I found that men smoked 5.73 times per day (172 collective times divided
The GDP depends entirely on the different economic activities that the countries engage in that will range from production activities, importation aspects, the development of different services within the borders and exportation aspect. All
The report will further find the outliers for each variable. The paper will then estimate the relationship between the median household income and three remaining variables. The conclusion about the parameters’ descriptive statistics and the
Work: Since mean depends on the mid point, so the mid point of the interval 4.0 to 8.4 is 6.2 whereas the median remains the same since it depends upon the coverage of frequencies ie. in the interval 2.0 to 2.9 already more than 50% of the frequencies are covered,