Arithmetic mean

4.1 Introduction This chapter sets out the results of survey, the analysis, and critical discussion of the findings. The data have been collected from 80 respondents. The analysis and discussion are supported by the relevant literature from Chapter 2 in order to ascertain if the findings disprove or support the existing literature. 4.2 Respondent Profile 4.2.1 Respondent Profile by Age There are 80 respondents involved in this research to be adequate in the requirement of research sample size. The

to ask your instructor if you have questions about any of the solutions given below. 1. Explain the difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula? mean; median; mode; range; quartiles; variance; standard deviation. Solution: A sample is a subset of a population. A population consists of every member of a particular group of interest. The variance and the standard deviation require that we know whether

professional audience, you 'll probably never use the words "standard deviation" in a story. But that doesn 't mean you should ignore this concept. The standard deviation is kind of the "mean of the mean," and often can help you find the story behind the data. To understand this concept, it can help to learn about what statisticians call normal distribution of data. A normal distribution of data means that most of the examples in a set of data are close to the "average," while relatively few examples

4184 5000 Mean 3284 4200 SD 1272 1131 Figure 1 Mean percentage of energy intake as protein , fats and carbohydrates with percentage. Description of the results The subject data displayed in table 1 shows the energy intake (EI) and Energy Expenditure (EE) over 2 consecutive weekdays. The mean EI for day 3285kJ/day : mean EE 4200 kj/day. As the mean increases the standard deviation decreases. Figure 1 the pie chart distributes the energy protein, fats and carbohydrates intake mean average over

residual terms, γ_00 is the mean intercept and ζ_0j is the deviation of the school-specific intercept from the mean. As with most multilevel models, it is assumed that the clusters j are independent. Furthermore the level-1 residuals are assumed to be normally distributed with mean 0 and variance Var(e_ij) , while the level-2 residual are assumed to be normally distributed with mean 0 and variance Var(ζ_0j). (ADD THE THIRD ASSUMPTION?). The two-level model estimates the mean trust in the EP to be 4

The ABAS II is a comprehensive measure that assesses an individual’s behavior scale. It was developed by Patti Harrison and Thomas Oakland based on information gathered in a matter of eight years. The standardization has samples for the Parent/Primary Caregiver and Teacher/Daycare Provider Forms for children ages birth to five years comprised 2,100 individuals. The standardization samples for the Parent and Teacher Forms, and Adult Form is comprised of 5,270 individuals that represent the U.S. population

population having [pic] and standard deviation 5. (a) What are the mean and standard deviation of the [pic] sampling distribution? Can we say that the shape of the distribution is approximately normal? Why or why not? (10 points) (b) What is the probability that [pic] will be within 0.5 of the population mean? (5 points) (c) What is the probability that [pic] will differ from the population mean by more than

Treatment | Trial 1 | Trial 2 | Trial 3 | Trial 4 | Trial 5 | Trial 6 | Trial 7 | | Glucose Concentration | Transmission (%)± 0.1 | Transmission (%)± 0.1 | Transmission (%)±0.1 | Transmission (%)± 0.1 | Transmission(%)±0.1 | Transmission (%)±0.1 | Mean (anomalous data not included) ±0.1 | Standard Deviation | 0.00 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 0.0 | 0.25 | 83.8 | 99.9 | 85.9 | 80.9 | 5.8 | 90.9 | 88.3 | 7.5 | 0.50 | 84.8 | 73.0 | 75.5 | 52.4 | 5.2 | 83.3 |

spend their pocket money in past and that in nowadays (e.g2006 vs. 1999), then we should reveal the differences by our statistic figures like mean , mode etc, so that we can know whether they get more money or not, and other statistical

Referring to table X in appendix, it can be seen that the R square of these tables are about 0.17, which means 17% of the variance of profitability could be linearly explained by the independent variables (age, district, income, etc.). Thus, according to the regression results, it is apparent that income has positive relationship with profitability for online