Statistics Essay Examples and Topics

On the other hand, the researcher will be required to establish the relationship between the frequency of taking certain meals or beverages and gains in weight.

Much attention should be devoted to construction and content validity of the questionnaires; the scores must be reliable; the questions should be clear and precise hence mutually exclusive answers; the interviewer must be consistent and [...]

The information the calculator analyzes is derived from the amount of error accommodated by the researcher, the size of uncertainty, the number of the sample, and the distribution of the given responses.

Moreover, when persons have to present the solution to this or that question or decide how to act in the definite situation they also use the statistical data on the issue as one of the [...]

After the purchase of the bags, the bags are opened, and the number of each color is recorded under the bag.

The importance of statistics is to determine the type of data required, how it is collected, and the way it is analyzed to get factual answers.

The study period is a predictor variable because it influences the outcome of the exam score. The descriptive table below shows that the average period of study of 80 students is 13.

This concurs with the general feeling 60% of the employees have that the pay they receive is not commensurate with the work they do as shown in the corn bar graph above.

Given both ice scream sales and the occurrence of drowning correlate positively with temperature, it implies a positive correlation between ice scream sold per month and the number of drownings occurring in the particular month. [...]

This paper focuses on the analysis of correlations between four variables, including the number of correct answers in Quiz 1, grade point average, total number of points earned in class, and number of correct answers [...]

In other words, the article expresses the main criteria as to which to evaluate the statistics and conclude whether the facts and outcomes derived from it are bound to be truthful or not.

This paper focuses on the analysis of the results for Quiz 3 provided in the dataset Grades.sav. HA: There are statistically significant differences in the results for Quiz 3 depending on the class section.

Total number of appeals =1762 Total numbers of reversal is 199 Probability= 100=11. 1129 Domestic relations court Total numbers of appeals=106 Total number of reversals=17 Probability= 100=16.

It is conversant with the history of the organization and is aware of the details of the organization's goals and objectives.

The casual technique is a quantitative method that relies on the interpretation of the behavior of the casual relationship between two variables and the independent variable.

This sweeper used the technology of having a water chamber inside the machine to clean the air and collect the dust particles.

A measure of the reliability of using a given model is the coefficient of determination, which determines the percentage of the variance of the dependent variable in terms of the independent variable: the higher this [...]

M1MTHYRS912 is a continuous variable that shows how many years of experience the math teacher had at the moment of the survey.

The deductive approach of statistics is different from the inductive approach in that it aims at testing hypotheses instead of formulating theories, like is the case with the indicative strategy.

A practical example of a quantitative analysis is observed in an article in the BBC titled, How the internet transformed business.

It is widely employed in research and has numerous different methods of operation that depend on the size of a sample and the purpose of the study.

Data set was obtained from the NBA was categorical to the; NBA Team, year of specific games, points scored, and average level of the competence of the team.

One of the examples of statisticulation is the use of maps by companies. For example, when measuring the effectiveness of a skincare product, the sample should be large enough to provide reliable data.

Minor cycles in the economic activity named after Joseph Kitchin, a British statistician, who identified the major and minor cycles.

The criterion behind the collection of the data as well as its representation and interpretation employs a good deal of statistics: a science that employs mathematical concepts and principles in data collection and processing.

The independent variable of this research is the degree of physical activity, while the independent variable is the level of stress.

In order to perform the calculations, the information was organized in the form of a table suitable for chi-square analysis. Dataset In order to answer the research question, the goodness of fit chi-square test was [...]

The number is generated in a predictable manner and is pseudo random in nature. The generated random number is 3.

For the study, the researcher creates a table with random numbers and uses the sampling frame to assign numbers to everyone in the population.

Thus, the chief purpose of this research is to provide information on the effectiveness of the new campaigns in shifting the attitude of both potential and existing students of the Deakin University to the Deakin [...]

Old sensors returns = x = 8, and new sensors returns = x = 17. Old sensors = n = 250, and new sensors = n = 250.

Two primary software choices are available for the analysis of the qualitative data obtained for the Title IV-E project: Dedoose and Microsoft Excel.

The research problem identified by the investigator relates to the prevalence of distress in the police occupation. The primary variable of the study was the mean stress measure, which was derived from the Langner-22 list [...]

As seen in Table 1, the mean of the Percentage of the Disadvantaged Students is 42. As seen from Figure 1, the distribution of values is right-skewed and platykurtic.

Table 1: The amount of time I spend cooking meals each day From the data, the longest time was spent cooking on days when I had three meals in the house on days 1 and [...]

To use factor analysis to determine the nature of the underlying relationships, we have to use this set of random data as our data are set in SPSS.

For example, when deciding on the marketing strategy of the business, statistics helps in getting the actual data that can be used to advertise the products of a business.

The last type of variable is an extraneous variable, which stands for the type of variable that is not independent and is not explicitly controlled by the researcher, leading to some unexpected outcomes and effects [...]

The authors, for the first time, speak out about the potential threat of significant differences in the assessment of the beauty and quality of the work of male and female teachers.

This is the data analysis of the population growth of the population in the states of the USA, which are organized in the table.

The present report aims at analyzing factors that affect the commuting time of students to the university. Descriptive statistics of time to the university by gender.

For instance, this study attempts to model the life expectancy of people on different variables to answer the fundamental question of "how can researchers use econometric factors to predict the lifespan of a person"?

In the first stage of data collection, the selection of the division manager and six managers was based on convenience sampling as the sample was chosen based on ease.

Examples of in which research results would be communicated to other members of the company, and explanation of how the research would be communicated as well as technology that would be used to demonstrate the [...]

The statistic is describing the claims by Labour that the NHS uses 500 million a year to treat wounds caused by knife crimes.

The goal of descriptive and inferential statistics is to provide summaries of data in a manner that is useful and simple.

Most of the items in the questionnaire used a 5-point Lickert-type scale, and data were analyzed using a descriptive statistical method involving the tabulation of frequency distributions and the development of simple bar charts to [...]

Table 1 Results of the 2000 Presidential Election in Florida From the Plurality Method, the winner is Bush, who has the most votes compared to the other candidates.

Correlation studies refer to the study of the relationship between two continuous variables, the purpose of which is to determine the strength and direction of the relationship.

One of the most generalized and understandable ones views it as a table representing the distribution of one variable in rows and another in columns, which helps to understand the association and correlation between two [...]

Applying regression techniques by drawing a scatter plot of real-world data of MLB payroll amounts and win totals copied to the Excel spreadsheet, it is practical to establish the nature of the relationship between the [...]

The main concepts of the article are the description of the statistical method and the variables that affect the final results.

This is because of the practical operation at the dairy farm, the manageability of the day-to-day operation, and the cost involved with them.

Bivariate correlation analysis was used to understand how the alignment of compensation method, employment status, and work schedule affected the retention intention of midwives.

ANOVA is the short-form form for Analysis of Variance, the repeated ANOVA is one of the members of the ANOVA family, it compares the mean of one or more variables taken from a set of [...]

In other words, the main criterion we operate in hypothesis testing is to study the value of the test parameter, the p-value.

Because all of the data used in this project were of the quantitative type, it was relatively easy to calculate the values of the central tendency measures for them.

The relationship between the independent and dependent variables is the primary focus of the research. Therefore, to measure the validity and reliability of the research idea, it is crucial to investigate the consistency of obtained [...]

Of interest in this context is the relationship between the range of such a throw and the angle of the initial position of the load.

In this way, a correlation analysis is concerned with the strength of the relationship strictly between the two variables under consideration.

Married women represent the majority of the pull. Table: Distribution of payment methods used by the customers

Alternatively, the purpose may be to test the null hypothesis, that is testing if the effect is only because of the input variables.

In this paper, regression analysis is performed to predict the relationship between the time series and the time spent watching television each day measured in minutes. This is further supported by the predicted values obtained [...]

A real-world example of hypothesis testing is the comparison of the battery life of Android smartphones and IOS smartphones with similar features.

The second model shows that the independent variables, parenting style and sibling aggression, and the dependent variable, aggression have a weak positive correlation coefficient.

Regression, on the other hand, reverses this relationship and expresses it in the form of an equation, which allows predicting the value of one or several variables based on the known values of the remaining [...]

In addition, descriptive statistics would enable the analyst to evaluate the spread of the marks. While inferential statistics utilize samples from data, descriptive statistics tend to use the whole data.

Depending on quality and purpose of the information to be collected, different types of interviews are incorporated in the methodology segment of a research assessment.

The second requirement in a chi-squared test is that of independence among the observations, that is, the test cannot be used on correlated data.

Analysis of variance, which is also known as ANOVA refers to the techniques employed to analyze effects of categorical factors. Analysis of variance, which is also known as ANOVA refers to the techniques employed to [...]

Random sampling is a sampling technique where all elements in a population have an equal probability of being selected to form the sample.

This helps to determine the substantial variance in the data and thus provides an estimate of how strong the group of students as a whole was. Raw data collected from respondents in the survey Table [...]

On the contrary, the components of inferential analysis in this paper include conducting t-tests to assess the significance of differences between groups, correlation, and regression tests to measure the strength and direction of the relationship [...]

It is defined as a variation in the "non-constant error variance," or the idea that in the event predictors are included in a regression model, the residual variability is altered as a function of something [...]

In the case of the first state of nature, the demand for the COVID-19 vaccine and Amoxicillin will increase; the second state of nature would mean that the demand for COVID-related pharmaceuticals remains the same, [...]

An error of the first kind is that the correct hypothesis will be rejected. In particular, the first kind of error probability is a power function calculated under the null hypothesis.

This study aims to propose an experiment in which the performance of the Delta Max paper airplane is compared to other paper airplane models in the context of the range and duration of the flight.

Self-esteem and "I use social networking for gratification" has a weak positive correlation, r =. The interaction between the post frequency binary and the social comparison F =.

Thus, the chronological data allow us to evaluate not only the countries among themselves according to this criterion but also to provide the dynamics of the change in the happiness index within the country.

Hence, confidence intervals and confidence limits, in particular, are used to estimate sampling parameters, while hypothesis testing is a method that shows whether the hypothesis is reliable or not.

The paper carries out simple regression analysis to establish the relationship between salaries and the number of years the employees have worked in the organization.

From the histogram, we can observe that the festival data of day one is normally distributed about the mean of the data.

It includes the statistical assumptions of the test, SPSS syntax and output including the mean, median, mode, range, minimum, maximum and standard deviation of the two variables, and a chart describing that data.

This conclusion can also be drawn on the basis of a statistical analysis only. It can be concluded that the author has used many relevant statistical concepts and findings in this article to stress his [...]

In order to support his argument, Gigerenzer discusses the 'null ritual' in detail, concentrates on Fisher's and Neyman-Pearson's ideas and associated misunderstandings, refers to the researchers' feeling of guilt, focuses on collective illusions, discusses the [...]

The model can be tested for statistical significance, but the most appropriate way to examine the impact of the individual variable impact on the S&P 500 is testing for different beta notes.

The article The Median Is not the Message written by Stephen Gould highlights the idea that statistical information can be very misleading to people who have not been trained to analyze it.

This approach enabled the management of the HCZ to better understand the functioning of this organization as a system and not as a set of separate programs.

This will help determine whether the new idea that the company will be introducing will work in the market and whether its impact on the total income of the company is a risk worth taking.

This activity is based on the assumption that it is possible to understand the properties of a certain population by examining a part of this population.

In particular, the study seeks to prove the connection between the variables and analyze the main characteristics and nature of this connection.

5 are the numbers in the center. The given set of numbers' median is 70.0%.

The report later presents a descriptive analysis of the variables of interest and a statistical analysis of the selected variables relating to movie likes on Facebook and movie ratings.

Descriptive statistics were calculated to determine which of the eight factors were the most important for the respondents in their selection of shopping areas.

When Mark Twain defined the types of lies, the researcher meant that not all statistics are actual and that most of them are meant to influence people's minds.

In the case of particular events, data on the number of students who graduated, the number of students who published a research paper, and the total number of students are known for each professor at [...]

Table 1: Results of Descriptive Statistics for Each Year Based on the data in this table, it can be seen that the total and the average Brazilian population, measured for 269 cities, grew continuously from [...]

The standard deviation measures how far the mean is from the mean, while the coefficient of variation measures the ratio of the standard deviation to the mean.

Among the similarities, first of all, both t-tests aim to assess if there appears to be an evident disparity between the means of the two groups.

The data set will analyze the NBA for the Philadelphia 76ers between 1997 and 1999 and the Los Angeles Lakers from 2017 to 2019. The fifth step is calculating the test statistic and the p-value [...]

The only challenge here is the accuracy of the hypothesis, which can lead to false results. Thus, it is important to consider what kind of data will be used for the data.

For a more detailed analysis of the application of statistics will be taken an example of the field of marketing, where it is necessary to assess the effectiveness of the advertising campaign.

Because of this division, the differences and trends in the number of children belonging to families below the poverty line are most evident. In addition, a summary of ethnicity information at the federal and state [...]

The main goals of descriptive statistics are the systematization and description of data for observation. Data dissemination of data can be assessed as an essential component of the information aspect of life and a significant [...]

In addition, I would use the scatterplot to display a relationship between two variables such as age, and the occurrence of a particular ailment.

Thus, for the first website, the average number of visits over the past three years was 10500, and for the second, 10978.

Hays states that if the number of data observations is even, the median is generally considered to be the average of the two middle values.

The purpose of the present correlation analysis was to identify the nature of the relationship between respondents' perceptions of generalized anxiety that may have been experienced and scores on the SNAQ-12 scale assessing snake [...]

The results of the analyses will be used to explore the association between pet ownership and physical activity level and to identify factors that could influence the relationship between these two variables.

The non-parametric nature of the method is due to the lack of the need to evaluate for assumptions about the normality of the distribution; that is, the data for analysis do not necessarily have to [...]

To determine the significance of the constructed models and results, a p-value parameter is used at a significance level of.05. The first part of the general statistical analysis requires a Pearson correlation test to determine [...]

According to Zhang et al, "the coefficient of determination is the measurement of how well the regression model fits the data".

The first observation was that the concentration of the chlorophyll units in the fertilized area of the river, which was below the phosphoric acid drip point, was higher in comparison with the concertation of chlorophyll [...]

It is possible to make the analogy between water flow in the wide Mississippi River with its eddies and obstacles to turbulence in the free atmosphere at low and high altitudes. The Mississippi River has [...]

The popularity of regression analysis lies in the fact that it allows one to consider many industrial, market, and societal factors. In an era of data overabundance, the inability to fix data reduces its quality [...]

After the distraction part was over, the participants were asked to recall the twelve adjectives they rated from a list of 42 words. This brings the question of whether the results would be different if [...]

The quality of such heating is determined by a combination of factors, including the deterioration of the house, thermal insulation, the number of people living in the household, exposure to wind, and others.

25% It is almost certain that the probability to predict the next ten throws of a coin is zero. A coin is chosen randomly where every of the 19 coins has equal chances of being [...]

Table 1 and Table 2 show the results of a simple regression analysis: one can see that only for type 1 cuffs the model is significant, and the predicted regression equation is y = 417.

In conclusion, statistics enable healthcare professionals to conduct qualitative research that establishes various connections between factors affecting one's health and the outcomes stemming from them.