Mind On Statistics 4th 43
Libe Nipper
The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
In coming to understand the world-in learning concepts, acquiring language, and grasping causal relations-our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address some of the deepest questions about the nature and origins of human thought: How does abstract knowledge guide learning and reasoning from sparse data? What forms does our knowledge take, across different domains and tasks? And how is that abstract knowledge itself acquired?
From aerospace engineer on the NASA Space Shuttle Landing Team to the Colorado Mesa University campus, Associate Professor of Statistics Rick Ott, PhD, has an array of experiences that have helped shape how students learn statistics in today's ever-evolving world.
To listen to other Faculty Friday episodes and past podcasts, including special editions, visit CMUnow on Spotify or listen wherever you get your podcasts. To nominate a faculty member email Kelsey Coleman at [email protected].
Fifteen students each put as many beans into a cup as they were able in 15 seconds. All students did the task twice, once with their dominant hand and once with their non-dominant hand. (Source: The authors)
Data for n = 1,560 plays of the Pennsylvania lottery game called Cash 5. In the game the state randomly picks 5 numbers between 1 and 39. The data are used in an example in Chapter 9. This game is called Fantasy 5 in California and some data for that state are in the dataset Fantasy5.
(Source: Pennsylvania Lottery Commission website, www.palottery.org)
Body weights and the time it takes to chug a 12-ounce beverage for n=13 college students. The data were submitted by a student for a class project. (Source: William Harkness, Pennsylvania State University)
Data are for thirteen variables and n =2765 respondents in the 2002 General Social Survey, a national survey done by the National Opinion Research Center at the University of Chicago Some questions are only asked of a portion of of the survey participants, so there is quite a bit of missing data. GSS-93 gives 1993 data for the first eleven variables in this dataset. (Source: SDA archive at UC Berkeley website, :7502)
Data are for eleven variables and n = 1,606 respondents in the 1993 General Social Survey, a national survey done by the National Opinion Research Center at the University of Chicago Some questions are only asked of about two-thirds of the survey participants, so there is quite a bit of missing data. (Source: SDA archive at UC Berkeley website, :7502)
Tip percents on restaurant bills for male and female servers who either draw a happy face on the bill or do not in a randomized experiment.The data are used for Example 16.6 and an example in Supplemental Topic S4. (Source: Professor Bruce Rind of Temple University)
Actual weight and ideal weight for n=182 college students. Actual weights were reported by the students The "ideal" weight is the response to, "What is your ideal weight?" The data were collected in the Fall semester of 1999. (Source: William Harkness, Pennsylvania State University)
A sample of 63 students wrote as many letters of the alphabet, in order as capital letters, as they could in 15 seconds using their dominant hand, and then repeated this task using their nondominant hand. The variables dom and nondom contain the raw data for the results. (Source: Laura Simon, Pennsylvania State University)
Data from n=190 college students in a statistical literacy class. The survey is described in Section 2.1 of the text, and the data are the basis for several examples in Chapter 2. (Source: The authors)
For the 50 States and the District of Columbia, the statewide mean verbal and math SAT scores in 1998. The data set also includes the estimated percent of high graduates who took the SAT in each state. (Source: The World Almanac and Book of Facts, 1999, p. 245)
Data from an experiment done to examine the "anchoring" effect, which is that a person's estimate of a quantity is influenced by numbers given in prior questions. At a conference for teachers of business statistics, n = 45 participants were randomized to two experimental groups. One group answered the question "Do you think the population of Turkey is more than 10 million?" The other group answered the question " Do you think the population of Turkey is more than 70 million?" All participants were then asked to estimate the population of Turkey, to the nearest million. If the anchoring effect holds, participants asked if the population is more than 70 million would tend to give higher estimates than those who were asked if it is more than 10 million. (Source: The authors)
Four in five suicides are by men, with suicide the biggest cause of death for men under 35 (source: UK Parliament). In 2020, workers in construction were at some of the highest risk of suicide in the country, at 3.7 times higher than the national average (source: Office for National Statistics).
Construction work has a variety of pressures from tight contracts to long hours, time away from loved ones and managing budgets, not to mention the added stresses caused by the pandemic and the rising costs of supplies. Additionally, over half of all UK employees (and notably 57% of Millennials) do not feel comfortable disclosing mental health or psychological conditions (source: Reed). This results in
a culture which prevents many workers from seeking support and help when they may need it, putting further stress on their own mental health and wellbeing.
It is important for employers and individuals to know just how important mental health awareness and support is to workers and the statistics below highlight why change is needed within the construction industry.
In June 2022, we published the findings from our major study of the mental health of self-employed construction workers and those working in small firms. Our results showed that intense workloads, financial problems, poor work-life balance and COVID-19 pressures on the supply of materials combined to significantly raise stress and anxiety levels. This mainly male workforce has long been known to contain workers who are reluctant to talk about their mental health.
Survey findings from over 300 respondents suggest that almost a third are now living with elevated levels of anxiety each day. Construction workers from a range of trades that are often hard to reach, from bricklayers, to groundworkers to plasterers, told researchers from Mates in Mind and the Institute for Employment Studies (IES) that the continuing stigma of mental illness prevents them from discussing it beyond close friends or family members.
Additionally, a report by the Chartered Institute of Building found that 26% of construction industry professionals thought about taking their own lives in 2019 and 56% of construction professionals work for organisations with no policies on mental health in the workplace.
Education and training are key to eliminating the stigma. Mates in Mind has empowered hundreds of organisations across the UK to tackle the silence surrounding mental ill-health and embed a positive culture change within these workplaces. Working alongside our partners, sector leaders and growing community of Supporters, we are able to deliver effective change across the UK by providing the skills, clarity and confidence to employers on how to raise awareness, improve understanding and address the stigma of mental ill-health.
Whether you're part of a business, or an organisation looking to bring in more support for its employees, you can find out more about how we can help you by filling out our contact us form and requesting a call back.
As a Mates in Mind Supporter, you will have exclusive access to a range of resources, training and support, designed to help you organisation implement their workplace mental health programme.
No matter how your company handles employee engagement and performance reviews, the most important part is that you have a performance management plan that takes both into account. Be sure to use performance management strategies that are proven to have a positive impact on your employees. Check out these performance management statistics to see which strategies are proven to be most effective.
One of the top priorities for employees today is an employer that supports their professional development. These statistics show the benefits of building growth opportunities into your performance management process:
Drowning the other person with facts, I assumed, was the best way to prove that global warming is real, the war on drugs has failed, or the current business strategy adopted by your risk-averse boss with zero imagination is not working.
As a result of the well-documented confirmation bias, we tend to undervalue evidence that contradicts our beliefs and overvalue evidence that confirms them. We filter out inconvenient truths and arguments on the opposing side. As a result, our opinions solidify, and it becomes increasingly harder to disrupt established patterns of thinking.
We believe in alternative facts if they support our pre-existing beliefs. Aggressively mediocre corporate executives remain in office because we interpret the evidence to confirm the accuracy of our initial hiring decision. Doctors continue to preach the ills of dietary fat despite emerging research to the contrary.Trending: 5 Reasons Life Gets Better After Your 40s
7fc3f7cf58