Lab # 2 1. The Glengarry Neighbourhoods for the pHQ2011 on the histogram overall exterior housing quality percentages in 2011states the maximum percentage on the X-axis is 100 percent and the minimum percent on the X-axis is -100%. The maximum number on the Y-axis is 199 houses (-10% -0% class) and the minimum number on the y-axis is 2 houses (-90% to -80% class). As the class width along the X-axis is 50 percent divided into 5 bars. Therefore that will give us a 10 percent class width. 2. The probability that a house in the Glengarry Neighbourhood has a pHQ2011 exterior housing quality percentage within the normal range which is greater than or equal to (-10%) is 0.368% which is about 37%. Therefore more than one third lands in -10% to 10%. Correspondingly, a pHQ2011 overall exterior housing quality percentage below normal which is less than normal range is 0.454, which is also 45%, less than one half. Therefore if we know that one third score above and less than one half scored below, we can infer that about 18% is in the normal range. …show more content…
The probability that a house in the Glengarry Neighbourhood has a pHQ2011 over;; exterior housing quality percentage that is greater than or equal to -33% and less than 22% is 0.79 or 79%. Calculation: (0.2)x22=4.4 + (0.3)x41=12.3 + 173+ 81+ 199+ 74+ 41 = 584.7 divide by 140 = 0.790 = 79% =80%. Therefore the probably case scored between -33% to 22% in 2011 was 0.79 or 79% or more than three
According to statistics canada Toronto in 2001, around 70% of the buildings in the area are high rise rental apartments but during the industrial era (1940’s ) most were private homes. Immigrants from countries such as the Philippines , Vietnam , Tamil, Chinese , Tibetan , Caribbeans and Hungarian have occupied parkdale since the 1980’s to present leading to the construction of these apartments with high storeys as seen in the census done in 2001. With high number of immigrants in the area increasing,Parkdale area soon developed a bad reputation as a neighbourhood of poverty, crime , drugs and homelessness These reputations led to segregation of neighbourhoods where the rich separated themselves, this happened on the basis of both of income and ethnicity.These is currently mainly occupied by minorities.Looking at the statistics in 2001 the top ten ethnicity living in this area were all immigrants with 20% arriving in Canada between 1980-1991 and other 25% arriving by 1991-2000 according to Ontario immigration data. 51% of these immigrants were born outside canada. Since it cost more to live in nicer neighbourhoods most immigrants end up in areas like parkdale where rent is cheap and other
To what extent will a rise in tourist numbers have a positive effect on the Castleton area’
Many statistical ideas were mentioned in the Barron’s guide. In the topic called Graphing Display the Barron’s guide discusses the different types of graphs, measures of center and spread, including outliers, modes, and shape. Summarizing Distributions mentions different ways of measuring the center, spread, and position, including z-scores, percentile rankings, and the Innerquartile Range, and its role in finding outliers. Comparing Distributions discusses the different types of graphical displays and the situations in which each type is most useful or appropriate. The section on Exploring Bivariate Data explains scatter plots in depth, discussing residuals, influential points and transformations, and other topics specific to scatter plots. Conditional relative frequencies and association, and marginal frequencies for two-way tables were explained in the section entitled Exploring Categorical Data. Overview of Methods of Data Collection explained the difference between censuses, surveys, experiments, and observational studies. Surveys are discussed more in depth in Planning and Conducting Surveys, including characteristics of a well-designed and well-conducted survey, and sources of bias. Planning and Conducting Experiments explains experiments in depth; going over confounding, control groups, placebo effects, and blinding, as well as randomization. Basic rules for probability are discussed in Probability as Relative Frequency, including the law of large numbers, addition rule, and multiplication rule. Other topics discussed in this section include the different types of probability calculations. Combining Independent Random Variables discusses manners in which two variables can be compared to each other and things to be wary of while doing so.
This Neighbourhood Study aims to examine the demographics of Hillingdon Primary Care Trust (HPCT) such as age, gender, ethnicity, social groups in relation to the prevention of obesity. An insight into the prevalence of obesity as well as the causes and its effects shall be evaluated. Public health strategies regarding the prevention of obesity and its effects in comparison to Government strategies shall be addressed. The nurse’s role as an educator in relation to this public health issue, strategies formulated by HPCT to prevent obesity and how it focuses on other diseases associated with obesity shall be discussed. The following section gives a definition of obesity, health education and health prevention.
During my time producing lemonade at Colt’s Lemonade Stand I sold a lot of cups at my lemonade stand. My mean for cups sold at 27.48, the median was 22, the mode was 20, 28 and the range was 52. On day 4 I sold 52 cups because it was 94 degrees during that time we sold a lot because it was really hot.
The final chapter of this book encourages people to be critical when taking in statistics. Someone taking a critical approach to statistics tries assessing statistics by asking questions and researching the origins of a statistic when that information is not provided. The book ends by encouraging readers to know the limitations of statistics and understand how statistics are
Glasgow's Urban Problems and Solutions * Geog factors led to Glasgow’s importance * Decline in ship building etch, moved due to cheap labour elsewhere * Slum conditions * Comprehensive redevelopment? Uphill 1970s – what problems with it * Renovate * Regeneration There are several geological factors, which led to Glasgow’s importance. Firstly, there were many nearby coal and iron fields. These are the two essential ingredients required to produce steel, making Glasgow an ideal place for industry. On top of this, there is a very deep, large river (R. Clyde) running right into the heart of Glasgow and out the other side.
Since there are 30 values, implying that the data is even, to find the median, we choose the two middle values, i.e. 15.98 and 16.00 and
The histogram is presented in the right form, using data from reliable sources and a methodology that appears to be correct (4 marks)
Table shows the chi square conducted to verify the hypothesis. Observed is the count that was done for the F2 female phenotypes and expected is the numbers based on the expected ratio 6:2.
For this assignment on collecting and analyzing naturalistic data I collected data on what percent of students held open the door entering and exiting Beatty hall. There are four categories that student can fall into during this study students that: don’t hold open the door, wait and hold open the door, automatically hold open the door, and don’t have anyone to hold the door open for. The people that automatically hold open the door are passing the door to someone immediately behind them. I hypothesize that 20% of students to enter Beatty will wait and hold the door for the next person and that an additional 30% will automatically being holding the door for the next person due to proximity. The remaining 50% will be 30% of students that don’t hold the door and 20% where there is nobody around to hold the door for. I estimated these hypothesized amounts based my experience of going in and out of Beatty over the last 4 years. Figure 1 is a pie chart providing a visual of the hypothesized percent of people holding the
Good regeneration is also created from a long term vision with a plan that takes into account functions of local neighbourhoods and integrates them with wider economic strategies. A regeneration strategy to succeed should be able to link worklessness and training opportunities to deliver sustainable employment to local residents, as well as physical regeneration of the environment.
Descriptive summary, including frequency and descriptive, was used to screen the data set. Among basic statistics to use were mean, median, mode, sum, variance, range, minimum, maximum, skewness and kurtosis.
One of my friend was looking for someone to make a small project as to convince his supervisor not to change the rule. I saw it as a perfect opportunity to use my ability, and I volunteer to help him. In his case, an employee with review score of 90% will receive bonus money for each cycle. Regardless, due to the change of rule, employee currently needs to have the score of 92% so as to receive the bonus. I used the survey data he provided to analyze the impact of the new proposing rule. I use the normal distribution to approximate the binomial distribution. I was able to find the probability of not getting a bonus for both the threshold of 90% score and 92% score. The result was unpredictable. With 90% score of threshold, employee only have 42.8% of chance not getting the bonus whereas 92% score have a 72.6% of not getting the bonus. Eventually, with the project I provide, my friend was able to convince his supervisor not to propose the rule. Overall, it was motivating to involve into the surface of statistics, and I understand that the usage of statistics can totally influence our daily life. Although it is just a small project, being able to contribute part of our community make me proud of
Inferential statistics is much more complex than descriptive statistics and is used for analysis and making inferences based on hypothesis testing to determine statistical significance of calculated values. Inferential statistics uses a vast array of testing procedures. The tests which are used depend on how the test is set up and what the user wants to discover (Weinclaw, 2009).