Statistics Essays

The missions were all launched from the Kennedy Air Space Center in Florida. Apollo 11, 12, 13, 14, 15, 16, and 17 were similar in terms of their primary objectives – lunar landing and Moon exploration. Each mission had a total of three Astronauts. The Astronauts on missions 11, 12, 14, 15, 16, and 17 directly observed lunar samples and performed several experiments that provided significant insights relating to lunar mineralogy and petrology

Statistical methods are very important in business and economics, management, operations, and research and development within a firm. These are just part of the many basic techniques that are very essential in business and economics. Descriptive statistics is important in summarizing data and representing it in a more elaborate manner. 

The results obtained showed there was a significant difference (P <0.05) between hyoid bone fractures in the two age groups (less than 40 years and greater than 40 years). Significantly a high incidence of hyoid bone fracture was observed in victims older than 40 years and substantially less was observed in victims below 40 years of age.

It is also worth noting that there is no consensus about the optimal timing and reconstructive strategy for patients who are undergoing mastectomy and require radiotherapy that is postoperative. The study showed Lat Flap and EI reconstructions to having comparable minor wound complication rates in the setting of post-mastectomy radiation therapy.

According to Histogram 1, the mean duration of Respondent’s stay in Canada is 32 months, and this is not surprising because the majority of the respondents came from the ISC students, and they were 1- and 2-year students. This duration can be considered long enough for the respondents to adapt to the “green products” consumption culture in Canada.

The administration should consider stocking the cafes (both the existing and the one to be set) well to handle high traffic sessions, especially between 12 pm and 2 pm. While setting up the café, emphasis should be paid to stocking the café with coffee and specialty drinks, sandwiches, bottled drinks, pizza, and muffins.

Statistical significance may be used to find the answers to questions that can be measured. Significance statistical analysis gathers factual and measurable data which may be considered statistical. This method of data analysis is commonly applicable in mathematical grounds, science, and also in businesses.

Strategic Communications refers to the use of institutional or corporate communications to form, preserve, or strengthen opinions that are favorable to the realization of the core goals of the institution among key audiences. Data becomes an important facet of Strategic Communications given the goals of the process.

You are interested in assessing the effectiveness of a domestic violence-counseling program designed to decrease the number of domestic abuse incidents among convicted abusers. The case files often offenders are randomly selected from the population of convicted abusers. The number of abuse incidents is reported in the following sections.

 However, this study does not cover all of these variables. It instead looks at the effect of the number of bats on player scores over the period, the effect of the number of games on the number of the scores by a player during a season. The data provided in the study are manipulated before being analyzed with the help of Excel’s analysis tools pak. 

Generally, the use of marijuana government ought not to think of its legalization at all. Instead, the U.S. government should focus on formulating new drug policies that can be very effective in reducing the demand for marijuana besides other illegal drugs. The effective drug policies formulated should begin by reducing the use of drugs among criminal offenders on probation in the U.S.

From the above table, it is observed that mean of the lower reaction group is 3.48 with a standard deviation of 0.9163 (slightly less than the previous one) and standard error 0.2049. The 95% confidence interval has shrunk closer because the standard error has reduced drastically and the Confidence interval is (3.051, 3.909).

The average oil prices were computed to be $21.665 per barrel with a large standard deviation of 25.537. The Mean Absolute Percentage Error (MAPE), Mean Standard Deviation (MSD) and Mean Absolute Deviation (MAD) were computed as 37.567, 137.866, and 7.195 respectively. The value for MAPE indicates that on average the forecast is off by 37.567%. 

Experiments involve manipulating an independent variable in a controlled environment to evaluate the effects on a dependent variable. This means that experiments are able to establish and portray cause and effect. The controlled environment eliminates the effect of confounding variables ensuring that the results are valid and reliable according to Diamond.

Descriptive statistics are techniques that are used to summarize and present the most important aspects of large quantitative information. Such summaries may be in form of graphs, tables, or charts. On the other hand, the central tendency is a term used to refer to the number among numeral information that best recapitulates the entire information and centrally placed.

Data used in this analysis correspond to 55 of the first 70 respondents in the survey. Data below this point was truncated for the purpose of using a smaller but adequate sample for this analysis. The 15 respondents from within the first 70 whose information was removed did not meet the criterion set out – each respondent must have had child(ren).

A claim was made that the mean high school score for the students is 85. Using the dataset1, the mean of the population is 82.44 and the standard deviation is 9.4.Null hypothesis: =85. Alternate hypothesis: Using a two-tail test and a confidence level of 95%, the critical values for the test are -1.64 and +1.64.

The scale of measurement used to represent the population age is the interval scale. Although the intervals are not equal, the values in this variable possess the properties of identity and magnitude. It is possible to know from this scale whether the different values for age are bigger or smaller than the other

The independent variable (blood pressure) was tested for association with the independent variable (body mass index) using the chi-square method. It was found that 80% of participants from the obese group had high blood pressure, while 45%, 14%, and 0% from the over-weight, normal-weight, and under-weight groups respectively had the condition.

He finds that 80% approve of using iPads in the classroom. Given the design of Randall's study, is it necessary for him to compute a statistic to determine if his findings are significant? The instance of a statistical analysis is not necessary. The survey tends to include the whole population that responds with perfection.

In this set of learning activities, one will use the data file Bank.sav. Based on the graphs shown above, it is clear that only two graphs (a scatter plot graph of current salary against beginning salary and that of current salary against education level) showed a strong positive linear relationship.

In the reduced inspection of the data is examined on a small portion of the data set and then examine to determine if they meet the quality control procedure. Chance causes account for the uncontrollable, natural variation present in any repetitive process. A process that is operating with only chance causes of variation is said to be in statistical control.

The relation that can take the variables is the simple regression. In simple regression, we will attempt to predict the dependent variable or response variable y (sales) on the basis of assumed linear relationship with predictor or independent variable (full-timers, par timers, the number of hours works, and the space size in square meters.

People used EDs to reduce their medical expenses since the government catered emergency cases. This is in contradictions to Obama care Affordable care Act which ensured that each can get affordable and quality health care. This was made by making those who were uninsured access affordable health insurance Tate, (2012).        

As such, when the average room number in owner-occupied housing increase by 1 unit, the demand for median housing prices increases by 0.294. Since β2 = - 0.055, when the weighted distance to 5 main employment centers within the Boston region increases by 1 unit, the demand for median housing prices decreases by 0.055.

The proposal was not implemented, but it was tested and confirmed to be reducing the errors from 1.59% to 0.68%. The lesson learned in the process is that leverage increases the efficiency and accuracy of performance. The old process is not in control of the SRC results. However, the new process is fully in control and is influential in the mobilization and demobilization of soldiers.

The paper "Continuous Probability Distributions" is an outstanding example of a statistics essay. A continuous random variable x can take any value in a particular or collection of intervals in a real number line (Peter 2011). The probability that the variable will be of a particular value is hard to tell. The lack of specificity calls for assumptions when establishing such an occurrence.

The paper “The Demographic Transition in Nigeria - Causes, and Consequences”  is a convincing example of an assignment on statistics. In (1.285941)/10 = r0.025 = r. Average population growth rate = 0.025 = 2.5%. Total number of persons in 2015 = P = P0ert = 181,562,000e0.025 (10) = 181,562,000e0.25 = 233,130,223 persons.

The paper "Continuous Probability Distribution" is an outstanding example of a statistics essay. A continuous random variable can assume any value in the interval on the real line or in a collection of intervals. It is not possible to talk about the probability of a random variable assuming a particular value. Instead, we talk about the probability of a random variable assuming a value within a given interval.

The paper "What is the Relationship between Female Weight and Male Weight " is an outstanding example of a statistics research proposal. According to Ware and Charles (1999) and Walker (2010), the five-number summary technique entails the use of sample minimum, sample maximum, lower quartile, median and upper quartile.

The paper "Discrete Probability Distributions" is a perfect example of a statistics lab report. Probability distributions are classified as either discrete or continuous probability distributions. Where a variable can take on any value between two specified values, it is a continuous variable. Otherwise, it is a discrete variable.

The paper "Discrete Probability Distributions" is an outstanding example of a statistics essay. Phenomena which are subject to random influences normally have results that are random in nature. In other words, the output is called random variables. To be able to represent such situations probability distribution is applied. In discrete probability distributions values of a random variable are presented in form of a list.

Sensitivity analysis is a decision-making tool, which in this case, applies the Net Present Value in the assessment of risk between option AS and Option B. In the two decision scenarios, the future is full of inherent uncertainty, regardless of the costs and benefits analysis or the risk and timing analysis, based on the various assumptions.

In this project, we checked the claim that means earnings per share for the Dow Jones stocks are greater than for the NASDAQ stocks and found that the claim is true. We also found that the five-number summary would most accurately summarize the earnings per share for the Dow Jones Industrials and NASDAQ stocks as compared to the mean and standard deviation.

Statisticians in the organization in a very separate department called the quality control department would do the assessment. With the application of the sigma six mechanisms, mainly the branch called professionalizing, all the quality controls can be monitored during the production processes. In the end, this will minimize the operational cost incurred by the company.

It is because the standard error involved in survey data is inversely proportional to the sample size, and as the sample size increases, standard error decreases and, hence, the accuracy of confidence interval increases so that the sample mean approaches more close to the population mean in probability (i.e., consistency improves to great extent).

For 80% confidence with 4 degrees of freedom, the critical value of χ2 is 7.779 and 1.064. Therefore, an 80% confidence interval for the population variance (σ2) of glove use per week is = 16.71 to 122.18. An 80% confidence interval for the population standard deviation (σ) of glove use per week is = 4.09 to 11.05.

The graph indicates that there is a relationship between GDP and Logistics Bill. The countries with lower GDP have lower logistics bills and those with higher GDP have higher logistics bills. The table below shows the regression statistics which corresponds to the 95% confidence interval for the regression coefficient.

Geography utilizes many statistical tools to make conclusions about the features of geographical data. A particular statistical technique is useful in analyzing the category of data. The independent variable is the age of the casualty while the dependent variable is deaths from the number of deaths.

It is skewed to the left. Accordingly, the weighted distance to 5 employment centers in most of the houses is less than 6. The mean of the dist variable is 3.795. The probability value is less than 0.05 of the significance level. Therefore, one rejects the null hypothesis and accept the alternative hypothesis, i.e., the price variable is normally distributed.

This kind of ANOVA has three sources of variation, namely treatment, error, and total. The treatment source measures the variations between the results of the treatment, i.e., the explained variations. The error source collectively measures the variations in scores within the respective treatments, i.e., the unexplained variations.

Many males had different height-arm spans. b) Ho: The distance from the sole of the feet to the tip of the head is the same as the distance between the outstretched hands. Ha: The distance from the sole of the feet to the tip of the head is not the same as the distance between the outstretched hands.

It is used as a forecasting model to predict future values from the previously observed values (Boashash, 2003). The forecasting methods used in time series analysis are briefed below. ARIMA (Auto-Regressive Integrated Moving Average) model is a general forecasting model that can be rationalized by transformations like differencing and logging.

These factors included text messaging, emails, MMS packs, internet, camera quality GPS accuracy, and age. Also, the study was to determine the relationship between the satisfaction level of people from rural and urban areas as well as gender concerning different factors mentioned above. Statistical methods include t-test and regression analysis.

Variability and uncertainty are concepts that have been around for several decades. For us to be able to predict future outcomes of an event or action, the two components must be determined. While variability is a physical phenomenon that can be measured, analyzed, and explained, uncertainty involves knowledge (Vose, 2002).

From the histogram, it is evidenced that following the introduction of this commodity (1-liter Orange Juice) in the Perth suburban market, it took time for the customers to familiarize themselves with the newly launched orange juice. The sales slugged in between 83rd and 100th week as evidenced by the sales of only four cartons of 1-liter orange juice.

The statistical proof of any incident involves a few steps that have to be followed sequentially with great rigor and care. Before resorting to any statistical operation it is necessary to mention and explain these steps. The process starts with a clear understanding of the concerned phenomenon; any vague idea would be catastrophic for further proceeding.

Particularly, it explores the sampling method, sample size, variables used, and data collection, from which it evaluates how applicable and relevant the authors of the articles used the techniques (Goodman, 2011). Further, the paper evaluates how the authors analyzed their data from where the discussions were based and conclusions drawn.

Quantitative analysis helps to gather and analyze measurable data from a particular focus group or subgroup with strong numerical evidence that helps to apply the results to the large-scale population using probability theories. The paper analyzes the 2002 European social surveys to find out the prevalence of racial discrimination in the UK law field.

In this case then, the probability of either A or B happening, = P (A) +P (B); =0.30+0.20; =0.50. The probability of neither A nor B happening, =P (A) +P (B)-[P (A) and P (B)]; =0.5-0.06; =0.44. P(X) + P(Y); =0.05+0.02; =0.07 is the probability of either X or Y occurring. 0.07-(0.02*0.05); 0.07-0.001; 0.069 is the probability that neither X nor Y will happening.