The document analyzes differences in physical performance between school year groups, gender, and ability level. It finds that for most tests measuring strength, power, and speed, males on average performed better than females, though there was also overlap between genders. For the top 10% performances, medians were often higher for males but ranges overlapped significantly between genders. For the worst 10% performances, ranges also overlapped substantially between genders, indicating no clear distinction. While most trends held, some tests in some year groups saw females outperform males, suggesting performance varies and differences are not entirely attributable to biological factors alone.
Motor Fitness of Rural Primary School Girls In Comparison To Boys IOSR Journals
The document compares the motor fitness of rural primary school boys and girls aged 9-10 years in West Bengal, India. It finds that:
1) Boys had significantly higher cardio-respiratory endurance than girls, while girls had significantly greater flexibility and abdominal muscular strength-endurance.
2) There were no significant differences found between boys and girls for speed, agility, coordination, or anaerobic power.
3) The results indicate that motor fitness is component-specific for boys and girls of this age, with some differences emerging that align with typical lifestyle activities and opportunities for each gender in a rural setting.
This study investigated the physical fitness levels of 236 female and 257 male students from years 6 to 9 through a series of "Faster, Higher, Stronger" tests assessing speed, strength, and power. The objectives were to analyze performance variations by year and gender, improvement rates across years, comparative physical strength analyses, and correlations between medicine ball throw and broad jump performances and between height and broad jump distance. Students participated in testing sessions measuring height, weight, hand grip strength, 15m sprint time, broad jump distance, and medicine ball throw distance. Correlation analyses found moderate to strong relationships between medicine ball throw and broad jump and between height and broad jump distance. Comparative analyses found boys generally outperformed girls but also some performance
Currently, studies report gender differences in children’s physical activity levels during structured and unstructured games. However, it is unclear if there are gender differences in the amount of energy children expend during these games. The purpose of this study was to measure energy expenditure in boys and girls during similar children's games. Thirteen subjects (8 boys and 5 girls aged 8-9 years) completed 11 physical activities while wearing a portable metabolic analyzer to measure energy expenditure. When scaled to body weight, boys expended more energy than girls during two activities (Computer Virus and Race Day), with no other gender differences observed. It is possible participant motivation accounted for the differences, though motivation was not tested. The small sample size limits conclusions, and
This study examined differences in intrinsic foot muscle strength (IFS) and standing broad jump (SBJ) performance across stages of maturation in 156 youth soccer players aged 11-13 years. IFS was measured using a pressure platform and SBJ was measured during two maximal jump trials. Results showed that males had greater IFS and SBJ than females. IFS decreased and SBJ increased from pre-pubertal to pubertal to post-pubertal stages in both sexes. However, the study found no relationship between IFS and SBJ after accounting for maturation stage and gender differences. This suggests that comparisons of foot strength and performance in youth need to consider biological maturation in addition to age.
Effect of Basketball size on Catching by women BigginnersDuminda Dissanayake
This document summarizes a research study on the effects of basketball size on catching ability for women beginners at Sabaragamuwa University in Sri Lanka. The study had 20 female student participants and tested their performance on drills using size 6 and size 7 basketballs before and after a month of familiarization training. Statistical analysis found significant differences in performance between the two ball sizes on all drills in the post-test, with size 6 resulting in better performance. Based on these results, the researchers concluded that size 6 is the most suitable basketball for improving skills in women beginners. They recommend its use for women's teams at the university.
Fitness and physical characteristics of Singapore youth bowlersTaisuke Kinugasa
The document reports on three studies that examined the fitness and physical characteristics of Singapore youth bowlers. Study 1 found that over 4 years boys significantly improved leg power, flexibility and agility while increasing in stature, and girls improved agility and endurance while increasing in stature. Study 2 found that elite boys had higher fitness levels than sub-elite boys, especially in leg power and agility, while elite and sub-elite girls had similar fitness levels. Study 3 identified that for boys key fitness components were leg power and agility and for girls key components were endurance and flexibility.
1) Bilateral and unilateral isometric squat strength assessments were reliable measures for youth athletes and improved with maturation. Bilateral strength predicted change-of-direction (COD) performance over short distances, while unilateral strength predicted longer COD courses.
2) Acute turn-around time (4mTAT) was useful for assessing COD performance but not as a standalone test. As maturation and COD course distances increased, correlations between COD performance and isometric strength also increased.
3) Researchers examined relationships between isometric squat strength, COD performance, and maturation in youth athletes over different COD course lengths and distances. Bilateral and unilateral strength improved with maturation and better predicted longer COD courses.
This document summarizes a study that examined the effects of a 5-week cross-curricular physical education intervention on reception children's (ages 4-5) fundamental movement skills, physical activity, and weight status. The intervention incorporated lessons based on the story of "The Gruffalo" and assessed changes in these variables before and after for an intervention school compared to a control school. Key findings were that the intervention significantly improved children's fundamental movement skills and weekday physical activity, but did not significantly impact weight status or weekend physical activity. The intervention provides a model for using cross-curricular lessons to improve movement skills and physical activity in young children.
Motor Fitness of Rural Primary School Girls In Comparison To Boys IOSR Journals
The document compares the motor fitness of rural primary school boys and girls aged 9-10 years in West Bengal, India. It finds that:
1) Boys had significantly higher cardio-respiratory endurance than girls, while girls had significantly greater flexibility and abdominal muscular strength-endurance.
2) There were no significant differences found between boys and girls for speed, agility, coordination, or anaerobic power.
3) The results indicate that motor fitness is component-specific for boys and girls of this age, with some differences emerging that align with typical lifestyle activities and opportunities for each gender in a rural setting.
This study investigated the physical fitness levels of 236 female and 257 male students from years 6 to 9 through a series of "Faster, Higher, Stronger" tests assessing speed, strength, and power. The objectives were to analyze performance variations by year and gender, improvement rates across years, comparative physical strength analyses, and correlations between medicine ball throw and broad jump performances and between height and broad jump distance. Students participated in testing sessions measuring height, weight, hand grip strength, 15m sprint time, broad jump distance, and medicine ball throw distance. Correlation analyses found moderate to strong relationships between medicine ball throw and broad jump and between height and broad jump distance. Comparative analyses found boys generally outperformed girls but also some performance
Currently, studies report gender differences in children’s physical activity levels during structured and unstructured games. However, it is unclear if there are gender differences in the amount of energy children expend during these games. The purpose of this study was to measure energy expenditure in boys and girls during similar children's games. Thirteen subjects (8 boys and 5 girls aged 8-9 years) completed 11 physical activities while wearing a portable metabolic analyzer to measure energy expenditure. When scaled to body weight, boys expended more energy than girls during two activities (Computer Virus and Race Day), with no other gender differences observed. It is possible participant motivation accounted for the differences, though motivation was not tested. The small sample size limits conclusions, and
This study examined differences in intrinsic foot muscle strength (IFS) and standing broad jump (SBJ) performance across stages of maturation in 156 youth soccer players aged 11-13 years. IFS was measured using a pressure platform and SBJ was measured during two maximal jump trials. Results showed that males had greater IFS and SBJ than females. IFS decreased and SBJ increased from pre-pubertal to pubertal to post-pubertal stages in both sexes. However, the study found no relationship between IFS and SBJ after accounting for maturation stage and gender differences. This suggests that comparisons of foot strength and performance in youth need to consider biological maturation in addition to age.
Effect of Basketball size on Catching by women BigginnersDuminda Dissanayake
This document summarizes a research study on the effects of basketball size on catching ability for women beginners at Sabaragamuwa University in Sri Lanka. The study had 20 female student participants and tested their performance on drills using size 6 and size 7 basketballs before and after a month of familiarization training. Statistical analysis found significant differences in performance between the two ball sizes on all drills in the post-test, with size 6 resulting in better performance. Based on these results, the researchers concluded that size 6 is the most suitable basketball for improving skills in women beginners. They recommend its use for women's teams at the university.
Fitness and physical characteristics of Singapore youth bowlersTaisuke Kinugasa
The document reports on three studies that examined the fitness and physical characteristics of Singapore youth bowlers. Study 1 found that over 4 years boys significantly improved leg power, flexibility and agility while increasing in stature, and girls improved agility and endurance while increasing in stature. Study 2 found that elite boys had higher fitness levels than sub-elite boys, especially in leg power and agility, while elite and sub-elite girls had similar fitness levels. Study 3 identified that for boys key fitness components were leg power and agility and for girls key components were endurance and flexibility.
1) Bilateral and unilateral isometric squat strength assessments were reliable measures for youth athletes and improved with maturation. Bilateral strength predicted change-of-direction (COD) performance over short distances, while unilateral strength predicted longer COD courses.
2) Acute turn-around time (4mTAT) was useful for assessing COD performance but not as a standalone test. As maturation and COD course distances increased, correlations between COD performance and isometric strength also increased.
3) Researchers examined relationships between isometric squat strength, COD performance, and maturation in youth athletes over different COD course lengths and distances. Bilateral and unilateral strength improved with maturation and better predicted longer COD courses.
This document summarizes a study that examined the effects of a 5-week cross-curricular physical education intervention on reception children's (ages 4-5) fundamental movement skills, physical activity, and weight status. The intervention incorporated lessons based on the story of "The Gruffalo" and assessed changes in these variables before and after for an intervention school compared to a control school. Key findings were that the intervention significantly improved children's fundamental movement skills and weekday physical activity, but did not significantly impact weight status or weekend physical activity. The intervention provides a model for using cross-curricular lessons to improve movement skills and physical activity in young children.
This chapter summarizes the results of anthropometric measurements of 550 children from the Tharu tribe in India. Height, sitting height, and other variables were measured for boys and girls aged 2 to 12 from three Tharu subgroups. The results show that all anthropometric variables generally increased with age for both sexes and all subgroups. For several age groups, some variables were found to have statistically significant differences between the subgroups and between boys and girls. Figures and tables with descriptive statistics are presented to illustrate trends in growth patterns.
Stats HomeworkChapter 12Please show all work. With each p.docxdessiechisomjj4
Stats Homework
Chapter 12
Please show all work. With each problem please do the correct Measure of Association (M of A) and the PRE that goes with the problem. Then tell me what you found.
1. The tables below report relationships between several variables and victimization of individuals. Compute the MofA for each and PRE.Please report what you found as to which groups experienced more victimization?
Sex
Victimized?
Male
Females
Totals
X2 = 4.31
Yes
10
21
31
No
31720
Totals
13
38
51
Age
Victimized?
21 & below
22 & above
Totals
X2 = 5.73
Yes
32
21
53
No
121628
Totals
44
37
81
Race
Victimized?
Black
White
Totals
X2 = 5.19
Yes
21
18
39
No
31922
Totals
24
37
61
2. A sociologist is researching public attitudes toward crime and is asking residents of his city if they think that the crime rate in their neighborhoods is rising. Is there a relationship between sex and the issue of crime rates, and is there one between race and the issue of crime rates? Compute the correct MofA and PRE.
Sex
Crime
Rate
Male
Female
Totals
X2 = 7.46
Rising
200
225
425
Stable
175
150
325
Falling
125125250
Totals
500
500
1000
Race
Crime
Rate
White
Black
Totals
X2 = 11.25
Rising
250
275
525
Stable
180
85
265
Falling
17040210
Totals
600
400
1000
Relevant Study Results
“The sample consisted of 23 men with a mean age of 42.2 years (SD = 8.2), length of time since
diagnosis with HIV was 9.2 years (SD = 5.3); and 17 women with a mean age of 36.8 years (SD = 5.2), and length of time since diagnosis with HIV was 7.2 years (SD = 4.8). For men, 23 were HIV-positive and 9 had a diagnosis of AIDS; and for women, 17 were HIV positive, and 5 had a diagnosis of AIDS. There was no significant difference in demographic characteristics of the sample by age, gender, HIV disease status, and time living with HIV.
Participants reported a net increase in weight from 3 months prior (M = 2.4 lb, SD = 12.9 lb) and
12 months prior (M = 10.9 lb, SD = 19.1 lb) and that their weight was greater than their ideal weight (M = 9.2 lb, SD = 22.9 lb). SDs for the data indicated a wide range on weight at both 3 and 12 months before participation in the study.
Body image scores (0–100 scale) were significantly (F(1, 37) = 5.41, p =.03) higher for women
(73.1 ± 17.0) than men (60.2 ± 17.0). Although HIV-positive participants had slightly higher body image scores (M = 68.0, SD = 17.0) compared with participants with AIDS (M = 60.5, SD = 18.8), there was no significant difference (F(1, 37) = 1.56, p =.22) in body image scores between [those with HIV and AIDS]. There was a weak, but significant, inverse association between body image score and weight changes from 3 months prior (r = −.30, p =.04). Body image and weight scores are summarized in Table 1” (Corless et al., 2004, p. 294).
Table 1 Body Image and weight measures for men and women..
Comparison of Selected Physical Fitness Components between Bangladeshi and In...iosrjce
The aim of this study was to compare the selected physical fitness components between Bangladeshi
and Indian girls aged 7 to 9 years old. The study was conducted on 107 Indian girls and 104 Bangladeshi girls
for the comparison of selected physical fitness variables. The selected variables for the study were upper body
strength endurance (flex arm hang), agility (4x10 m. shuttle run) and cardiovascular endurance (Reduced
cooper test). T-test was used to find out the significant difference among different disciplines. It was concluded
that there was significant difference between Indian and Bangladeshi girls in strength endurance (upper body).
But the significance differences were not found on agility and cardiovascular endurance variables. Indian girls
have better agility and cardio respiratory endurance than Bangladeshi girls but Bangladeshi girls have better
upper body strength endurance than Indian girls.
This document provides examples and instructions for using the t-test to compare the means of two independent groups. It includes two examples testing for differences in spelling scores and time to fall asleep between male/female students and drug dosage groups. It also provides a practice problem and t-table. The t-test can be used when data are normally distributed, sample size is less than 30, and the goal is to compare interval/ratio data between two independent groups.
Physical literacy presenation USC Sport conferenceMark McKean
This document summarizes research on physical literacy and movement competency in children. It discusses how low physical literacy is linked to issues like obesity and inactivity. The research aims to assess movement competency in primary school children using tests of 7 fundamental movements and skills. Initial results show a relationship between better performance on movement tests and meeting daily physical activity guidelines. Girls generally scored higher than boys. The research will next implement an intervention using movement breaks and modified PE lessons to improve competency over the school year while monitoring changes. The goal is to better understand movement competency and how it relates to lifestyle factors and physical literacy.
Kines 260 Take Home FinalNameDue Friday December 12th at 11 A.docxDIPESH30
Kines 260 Take Home Final
Name:
Due Friday December 12th at 11 A.M. in my mailbox
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process. PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess this relationship, researchers studied a group of 200 postmenopausal women. The SPSS file is entitled, Breast Cancer and Obesity.
Adiposity was measured in two different ways: (a) by body mass index (BMI) = weight (kg) / height (m2) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference. BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity. In addition, a complete hormonal profile was obtained, including serum estradiol. Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1st birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
· BMI has been categorized, bmi_cat, : normal BMI (<25) and abnormal BMI (25 or greater).
· Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
· WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1. Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a. Provide a visual aid depicting the mean differences between the two groups.
2. Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3. Please use the rock climbing performance dataset. Here is the description: This is research done by a senior at PSU-Berks. He was interested in determining the effects of imagery on rock climbing performance. He chose 20 experienced rock climbers. With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty ...
Relationship of two vertical jumping tests to sprint and change of direction ...Isaiah McFarland
This study examined the relationship between vertical jump performance and speed/agility tests in male and female collegiate soccer players. 36 NCAA Division II soccer players (20 males and 16 females) performed countermovement jumps, squat jumps, 10m and 30m sprint tests, and change of direction speed tests. Moderate to strong correlations were found between vertical jump heights and sprint/agility performance for both males and females. The results suggest power production, as measured by vertical jumps, is related to linear speed and change of direction ability in collegiate soccer players.
The study explored the incidence of athlete burnout among youth, high school, and college athletes and examined the associations between competitive trait anxiety, personal control, and athlete burnout. A sample of 153 athletes completed questionnaires measuring burnout, anxiety, and perceived control. Results showed a low overall incidence of burnout. A positive relationship was found between burnout and anxiety, and a negative relationship between burnout and perceived control. Younger athletes reported lower burnout than older athletes, and women reported higher burnout than men.
Evaluation of Students’ Working Postures in School WorkshopWaqas Tariq
Awkward postures are one of the major causes of musculoskeletal problems to be prevented at an early stage. Tackling this problem at the initial stage in schools would be of great importance. Tasks should be designed to avoid strain and damage to any part of the body such as the tendons, muscles, ligaments, and especially the back. Musculoskeletal disorder and back pain problems in adults was partly contributed by having such symptoms in their childhood. It is important to understand the symptoms of low back pain in children and design early interventions to prevent chronic symptoms that they may experience when they are adults. Musculoskeletal disorder and back pain problems in children and adolescent may give great implications in future workforce. The objective of this study was to compare working postures among students 13 to 15 years old while performing tasks in school workshop, therefore problems of musculoskeletal pain among students can be identified. Ergonomic assessments used for this study were the RULA and REBA methods. This cross-sectional study was conducted at a secondary school in Malaysia. Ninety-three working postures were evaluated to find out the posture risk level. Analysis result showed the average score are 4.87 and 5.87 for RULA and REBA methods respectively, which indicate medium risk and need for further action. The results also informed that 13-year old students had higher scores for both methods. Comparison using Kruskal-Wallis rank test showed there were significant differences among age groups for both scores and action levels. 13-year old students have the highest mean rank indicating bigger potential risks of awkward postures. In conclusion, both methods proved the workstation is mismatched for students’ body size especially for younger students. An ergonomic intervention is needed to improve students’ working posture, work performance and level of comfort.
CLA 2 Presentation
BUS 606 Advanced Statistical Concepts And Business Analytics
Agenda
Introduction
Multiple linear regression is the most appropriate statistical technique in predicting the outcome of a dependent variable at different values (Keith, 2019).
The study assessed the relationship between the cost of constructing an LWR Plant and the three predictor variables S, N, and CT.
We assessed the association between the two-test used to examine the employee performance.
Assumption of Regression Analysis
Multicollinearity
Multicollinearity is the condition where the predictor variables are highly correlated (Alin, 2010).
Correlation Analysis
4
Assumption of Regression Analysis Cont’
Normality test
The normality assumption is not violated after transforming the outcome variable C, using natural log (C) (Shapiro-Wilk = 0.967, p = 0.414).
5
Results and Discussion – Regression Analysis
Use Residual Analysis and R2 to Check Your Model
The R-Squared of 0.232 indicates that the model can explain about 23.2% of ln(C)
The low R-Square indicated that the model does not fit the data well (Brown, 2009).
6
Results and Discussion Cont’
State which Variables are Important in predicting the cost of constructing an LWR plant?
S is a significant contributing factor in predicting ln(C)(p = 0.021), but N and CT have no significant effect in predicting (p > 0.05)
7
Results and Discussion Cont’
State a prediction equation that can be used to predict ln(C).
After dropping N and CT from the model since they do not have a significance effect in predicting ln(C), the prediction equation is given by:
Does adding CT improve R2? If so, by what amount?
Adding CT in the model changes R-Square by 0.001 from 0.232 to 0.234 which is not significant different from zero (p > 0.05).
8
Results and Discussion Cont’ - Correlational Analysis
Evaluate the correlation between the two scores and state if there seems to be any association between the two.
There was a weak positive correlation between the two tests (r = 0.187). This suggested that the two test scores were not correlated.
9
Results and Discussion Cont’
Find the probability of upgrading for each division of the sample by the Bayes’ theorem.
P(Up/T1) = P (T1/Up) P(Up) ÷ P(T1)
= (23/46*46/86) ÷43/86
= 23/43
P(Up/T2) = P (T2/Up) P(Up) ÷ P(T2)
= (23/46*46/86) ÷43/86
= 23/43
10
Results and Discussion Cont’
Find the probability of upgrading for each division of the sample by the naïve version of the Bayes’ theorem
P(Up/T1) = P (T1/Up) P(Up) ÷ P(T1)
= (23/46*46/86) ÷43/86
= 23/43
P(Up/T2) = P (T2/Up) P(Up) ÷ P(T2)
= (23/46*46/86) ÷43/86
= 23/43
11
Results and Discussion Cont’
Compare your results in parts b and c and explain the difference or indifference based on observed probabilities
Naïve version and Bayes theorem have similar probabilities.
We have only one predictor in each sample division
This is because Naïve is a ...
In the US, many of us struggle with decreasing our BMI, or body mass index. The opposite is true for the children in Trinity/HOPE's feeding programs in Haiti.
They desperately need to increase their BMI and our feeding programs are helping them do just that. There is quite a bit of compelling data in the presentation. The two key takeaways are: 1) Trinity/HOPE's feeding programs are saving lives and 2) the younger children benefit the most - so it is important to keep feeding kids and expand our programs to as many Haitian children as possible.
152 pts totalFor Questions 1-2 use the 7 step process to answe.docxsandibabcock
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process.
PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women.
One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women.
In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer.
To better assess this relationship, researchers studied a group of 200 postmenopausal women.
The SPSS file is entitled,
Breast Cancer and Obesity
.
Adiposity was measured in two different ways:
(a) by body mass index (BMI) = weight (kg) / height(m
2
) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference.
BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity.
In addition, a complete hormonal profile was obtained, including serum estradiol.
Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1
st
birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
BMI has been categorized, bmi_cat, :
normal BMI (<25) and abnormal BMI (25 or greater).
Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1.
Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a.
Provide a visual aid depicting the mean differences between the two groups.
2.
Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3.
Please use the rock climbing performance dataset.
Here is the description:
This is research done by a senior at PSU-Berks.
He was interested in determining the effects of imagery on rock climbing performance.
He chose 20 experienced rock climbers.
With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty wall).
Ignoring issues of confounding, can we conclude that imagery decreases rock wall climb time (in seconds)?
(15pts)
a.
What statistical test should be use.
The study aimed to assess and compare the nutritional status, body composition, physical activity levels, and injury rates between karate students and non-karate students aged 13-17 years. It found that karate students generally had lower socioeconomic status and were underweight, while non-karate students had higher socioeconomic status and were overweight. Both groups had inadequate nutrient intakes compared to RDA values, but karate students' intake was more deficient due to their financial constraints. Significant correlations were also found between physical activity and BMI for both groups, as well as between fat intake and BMI for boys and protein intake and BMI for girls. The study highlights the vulnerability of karate students to nutritional deficiencies and injuries due to vigorous
Response of children with down syndrome to physical activity programme on mot...Alexander Decker
This document describes a study that examined the effects of a 12-week physical activity program on motor proficiency and functional abilities in children with Down syndrome. 30 children between 10-18 years of age were randomly assigned to an experimental or control group. The experimental group participated in 55-minute physical activity sessions three times per week, while the control group did not receive the training. Both groups were tested before and after using measures of motor skills and functional abilities. The results showed that the experimental group significantly improved in 6 motor skills and all 3 functional ability areas, while the control group did not improve as much. This suggests the physical activity program was effective at enhancing motor proficiency and daily living skills in children with Down syndrome.
Cardiovascular Response to Video Game: EyeToy KineticBiray Alsac
The document summarizes a study that examined the cardiovascular demands of four activity conditions from the video game EyeToy: Kinetic in college-aged men and women. The study found that all four conditions elicited heart rates and ratings of perceived exertion that met American College of Sports Medicine guidelines for moderate to vigorous physical activity. While performance quality in the game was not correlated with heart rate or exertion, the study demonstrated that interactive video games like EyeToy: Kinetic can provide cardiovascular benefits and may promote physical activity in users.
Obesity- Tipping Back the Scales of the Nation 19th April, 2017mckenln
The document outlines Professor Gareth Stratton's research on childhood physical activity and fitness levels. It discusses trends showing declining fitness and rising obesity rates in children over time. It then describes various studies and interventions to promote physical activity in children, such as exergaming, active playgrounds, and after-school activity programs. The goal is to understand factors influencing the "fitness to fatness" trend and develop strategies to reverse it by helping children be more active and fit.
Comparative Study on Physical Fitness of Volleyball and Football Players in U...iosrjce
Background: Physical fitness is an essential first and foremost criterion in every game. Without having physical
fitness no one can elicit his amble performance level. Therefore it is essential to investigate that in which game
among Volleyball and Football, the level of physical fitness is more essential. Aim: The purpose of this study
was to investigate the level of physical fitness of volleyball player and football player in university level.
Methodology: For the present study 15 male volleyball players and 15 male football players were selected
randomly and they had participated in university competition in 2004 from Jadavpur University. Age group of
the subjects was 18-24 years. To find out the physical fitness APHERED Youth Physical Fitness Test were
conducted. Statistics: For comparison of various physical fitness components of volley ball players and football
player independent t-test has done and level of significance has verified at 0.05 levels. Result: Finding reveals
that muscular strength of football player (5.33 times/min. pull ups) was higher than volley ball player (4.87
times/min. pull ups), the muscular endurance of football player (39.86 times sit ups) was higher than volleyball
player (38.73 times sit ups), agility of football player (19.32 sec.) was higher than volleyball player (19.78 sec.),
explosive leg strength of football player (6.90 mts.) was higher than volleyball player (6.78 mts.), Speed of
football player (6.70 sec.) was higher than volley ball player (6.99 sec.) and also cardiovascular endurance of
football player (1.82 min.) was higher than volleyball player (1.82 min.) but the difference in agility and speed
were significant at 0.05 level. Conclusion: The physical fitness of football player was higher than the volleyball
player.
The study surveyed 198 Greek students aged 15-17 years on their physical activity levels using the stages of change model. The majority (63%) were physically active in stages 4 or 5, with 53% in stage 5 having maintained an active lifestyle for over 6 months. Boys showed higher activity levels than girls at 75% versus 54%. Younger students (1st grade) had higher activity levels than older students (78% versus 50% for 3rd grade). Thus, inactivity seemed more pronounced among girls and older students. The researchers concluded that physical activity programs and services should emphasize girls and older students more prone to inactivity.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
This chapter summarizes the results of anthropometric measurements of 550 children from the Tharu tribe in India. Height, sitting height, and other variables were measured for boys and girls aged 2 to 12 from three Tharu subgroups. The results show that all anthropometric variables generally increased with age for both sexes and all subgroups. For several age groups, some variables were found to have statistically significant differences between the subgroups and between boys and girls. Figures and tables with descriptive statistics are presented to illustrate trends in growth patterns.
Stats HomeworkChapter 12Please show all work. With each p.docxdessiechisomjj4
Stats Homework
Chapter 12
Please show all work. With each problem please do the correct Measure of Association (M of A) and the PRE that goes with the problem. Then tell me what you found.
1. The tables below report relationships between several variables and victimization of individuals. Compute the MofA for each and PRE.Please report what you found as to which groups experienced more victimization?
Sex
Victimized?
Male
Females
Totals
X2 = 4.31
Yes
10
21
31
No
31720
Totals
13
38
51
Age
Victimized?
21 & below
22 & above
Totals
X2 = 5.73
Yes
32
21
53
No
121628
Totals
44
37
81
Race
Victimized?
Black
White
Totals
X2 = 5.19
Yes
21
18
39
No
31922
Totals
24
37
61
2. A sociologist is researching public attitudes toward crime and is asking residents of his city if they think that the crime rate in their neighborhoods is rising. Is there a relationship between sex and the issue of crime rates, and is there one between race and the issue of crime rates? Compute the correct MofA and PRE.
Sex
Crime
Rate
Male
Female
Totals
X2 = 7.46
Rising
200
225
425
Stable
175
150
325
Falling
125125250
Totals
500
500
1000
Race
Crime
Rate
White
Black
Totals
X2 = 11.25
Rising
250
275
525
Stable
180
85
265
Falling
17040210
Totals
600
400
1000
Relevant Study Results
“The sample consisted of 23 men with a mean age of 42.2 years (SD = 8.2), length of time since
diagnosis with HIV was 9.2 years (SD = 5.3); and 17 women with a mean age of 36.8 years (SD = 5.2), and length of time since diagnosis with HIV was 7.2 years (SD = 4.8). For men, 23 were HIV-positive and 9 had a diagnosis of AIDS; and for women, 17 were HIV positive, and 5 had a diagnosis of AIDS. There was no significant difference in demographic characteristics of the sample by age, gender, HIV disease status, and time living with HIV.
Participants reported a net increase in weight from 3 months prior (M = 2.4 lb, SD = 12.9 lb) and
12 months prior (M = 10.9 lb, SD = 19.1 lb) and that their weight was greater than their ideal weight (M = 9.2 lb, SD = 22.9 lb). SDs for the data indicated a wide range on weight at both 3 and 12 months before participation in the study.
Body image scores (0–100 scale) were significantly (F(1, 37) = 5.41, p =.03) higher for women
(73.1 ± 17.0) than men (60.2 ± 17.0). Although HIV-positive participants had slightly higher body image scores (M = 68.0, SD = 17.0) compared with participants with AIDS (M = 60.5, SD = 18.8), there was no significant difference (F(1, 37) = 1.56, p =.22) in body image scores between [those with HIV and AIDS]. There was a weak, but significant, inverse association between body image score and weight changes from 3 months prior (r = −.30, p =.04). Body image and weight scores are summarized in Table 1” (Corless et al., 2004, p. 294).
Table 1 Body Image and weight measures for men and women..
Comparison of Selected Physical Fitness Components between Bangladeshi and In...iosrjce
The aim of this study was to compare the selected physical fitness components between Bangladeshi
and Indian girls aged 7 to 9 years old. The study was conducted on 107 Indian girls and 104 Bangladeshi girls
for the comparison of selected physical fitness variables. The selected variables for the study were upper body
strength endurance (flex arm hang), agility (4x10 m. shuttle run) and cardiovascular endurance (Reduced
cooper test). T-test was used to find out the significant difference among different disciplines. It was concluded
that there was significant difference between Indian and Bangladeshi girls in strength endurance (upper body).
But the significance differences were not found on agility and cardiovascular endurance variables. Indian girls
have better agility and cardio respiratory endurance than Bangladeshi girls but Bangladeshi girls have better
upper body strength endurance than Indian girls.
This document provides examples and instructions for using the t-test to compare the means of two independent groups. It includes two examples testing for differences in spelling scores and time to fall asleep between male/female students and drug dosage groups. It also provides a practice problem and t-table. The t-test can be used when data are normally distributed, sample size is less than 30, and the goal is to compare interval/ratio data between two independent groups.
Physical literacy presenation USC Sport conferenceMark McKean
This document summarizes research on physical literacy and movement competency in children. It discusses how low physical literacy is linked to issues like obesity and inactivity. The research aims to assess movement competency in primary school children using tests of 7 fundamental movements and skills. Initial results show a relationship between better performance on movement tests and meeting daily physical activity guidelines. Girls generally scored higher than boys. The research will next implement an intervention using movement breaks and modified PE lessons to improve competency over the school year while monitoring changes. The goal is to better understand movement competency and how it relates to lifestyle factors and physical literacy.
Kines 260 Take Home FinalNameDue Friday December 12th at 11 A.docxDIPESH30
Kines 260 Take Home Final
Name:
Due Friday December 12th at 11 A.M. in my mailbox
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process. PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess this relationship, researchers studied a group of 200 postmenopausal women. The SPSS file is entitled, Breast Cancer and Obesity.
Adiposity was measured in two different ways: (a) by body mass index (BMI) = weight (kg) / height (m2) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference. BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity. In addition, a complete hormonal profile was obtained, including serum estradiol. Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1st birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
· BMI has been categorized, bmi_cat, : normal BMI (<25) and abnormal BMI (25 or greater).
· Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
· WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1. Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a. Provide a visual aid depicting the mean differences between the two groups.
2. Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3. Please use the rock climbing performance dataset. Here is the description: This is research done by a senior at PSU-Berks. He was interested in determining the effects of imagery on rock climbing performance. He chose 20 experienced rock climbers. With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty ...
Relationship of two vertical jumping tests to sprint and change of direction ...Isaiah McFarland
This study examined the relationship between vertical jump performance and speed/agility tests in male and female collegiate soccer players. 36 NCAA Division II soccer players (20 males and 16 females) performed countermovement jumps, squat jumps, 10m and 30m sprint tests, and change of direction speed tests. Moderate to strong correlations were found between vertical jump heights and sprint/agility performance for both males and females. The results suggest power production, as measured by vertical jumps, is related to linear speed and change of direction ability in collegiate soccer players.
The study explored the incidence of athlete burnout among youth, high school, and college athletes and examined the associations between competitive trait anxiety, personal control, and athlete burnout. A sample of 153 athletes completed questionnaires measuring burnout, anxiety, and perceived control. Results showed a low overall incidence of burnout. A positive relationship was found between burnout and anxiety, and a negative relationship between burnout and perceived control. Younger athletes reported lower burnout than older athletes, and women reported higher burnout than men.
Evaluation of Students’ Working Postures in School WorkshopWaqas Tariq
Awkward postures are one of the major causes of musculoskeletal problems to be prevented at an early stage. Tackling this problem at the initial stage in schools would be of great importance. Tasks should be designed to avoid strain and damage to any part of the body such as the tendons, muscles, ligaments, and especially the back. Musculoskeletal disorder and back pain problems in adults was partly contributed by having such symptoms in their childhood. It is important to understand the symptoms of low back pain in children and design early interventions to prevent chronic symptoms that they may experience when they are adults. Musculoskeletal disorder and back pain problems in children and adolescent may give great implications in future workforce. The objective of this study was to compare working postures among students 13 to 15 years old while performing tasks in school workshop, therefore problems of musculoskeletal pain among students can be identified. Ergonomic assessments used for this study were the RULA and REBA methods. This cross-sectional study was conducted at a secondary school in Malaysia. Ninety-three working postures were evaluated to find out the posture risk level. Analysis result showed the average score are 4.87 and 5.87 for RULA and REBA methods respectively, which indicate medium risk and need for further action. The results also informed that 13-year old students had higher scores for both methods. Comparison using Kruskal-Wallis rank test showed there were significant differences among age groups for both scores and action levels. 13-year old students have the highest mean rank indicating bigger potential risks of awkward postures. In conclusion, both methods proved the workstation is mismatched for students’ body size especially for younger students. An ergonomic intervention is needed to improve students’ working posture, work performance and level of comfort.
CLA 2 Presentation
BUS 606 Advanced Statistical Concepts And Business Analytics
Agenda
Introduction
Multiple linear regression is the most appropriate statistical technique in predicting the outcome of a dependent variable at different values (Keith, 2019).
The study assessed the relationship between the cost of constructing an LWR Plant and the three predictor variables S, N, and CT.
We assessed the association between the two-test used to examine the employee performance.
Assumption of Regression Analysis
Multicollinearity
Multicollinearity is the condition where the predictor variables are highly correlated (Alin, 2010).
Correlation Analysis
4
Assumption of Regression Analysis Cont’
Normality test
The normality assumption is not violated after transforming the outcome variable C, using natural log (C) (Shapiro-Wilk = 0.967, p = 0.414).
5
Results and Discussion – Regression Analysis
Use Residual Analysis and R2 to Check Your Model
The R-Squared of 0.232 indicates that the model can explain about 23.2% of ln(C)
The low R-Square indicated that the model does not fit the data well (Brown, 2009).
6
Results and Discussion Cont’
State which Variables are Important in predicting the cost of constructing an LWR plant?
S is a significant contributing factor in predicting ln(C)(p = 0.021), but N and CT have no significant effect in predicting (p > 0.05)
7
Results and Discussion Cont’
State a prediction equation that can be used to predict ln(C).
After dropping N and CT from the model since they do not have a significance effect in predicting ln(C), the prediction equation is given by:
Does adding CT improve R2? If so, by what amount?
Adding CT in the model changes R-Square by 0.001 from 0.232 to 0.234 which is not significant different from zero (p > 0.05).
8
Results and Discussion Cont’ - Correlational Analysis
Evaluate the correlation between the two scores and state if there seems to be any association between the two.
There was a weak positive correlation between the two tests (r = 0.187). This suggested that the two test scores were not correlated.
9
Results and Discussion Cont’
Find the probability of upgrading for each division of the sample by the Bayes’ theorem.
P(Up/T1) = P (T1/Up) P(Up) ÷ P(T1)
= (23/46*46/86) ÷43/86
= 23/43
P(Up/T2) = P (T2/Up) P(Up) ÷ P(T2)
= (23/46*46/86) ÷43/86
= 23/43
10
Results and Discussion Cont’
Find the probability of upgrading for each division of the sample by the naïve version of the Bayes’ theorem
P(Up/T1) = P (T1/Up) P(Up) ÷ P(T1)
= (23/46*46/86) ÷43/86
= 23/43
P(Up/T2) = P (T2/Up) P(Up) ÷ P(T2)
= (23/46*46/86) ÷43/86
= 23/43
11
Results and Discussion Cont’
Compare your results in parts b and c and explain the difference or indifference based on observed probabilities
Naïve version and Bayes theorem have similar probabilities.
We have only one predictor in each sample division
This is because Naïve is a ...
In the US, many of us struggle with decreasing our BMI, or body mass index. The opposite is true for the children in Trinity/HOPE's feeding programs in Haiti.
They desperately need to increase their BMI and our feeding programs are helping them do just that. There is quite a bit of compelling data in the presentation. The two key takeaways are: 1) Trinity/HOPE's feeding programs are saving lives and 2) the younger children benefit the most - so it is important to keep feeding kids and expand our programs to as many Haitian children as possible.
152 pts totalFor Questions 1-2 use the 7 step process to answe.docxsandibabcock
152 pts total
For Questions 1-2 use the 7 step process to answer. Refer to slides if you are unsure of the 7 step process.
PLEASE DON’T OMIT ANY PART OF THE PROCESS!!! (40 pts) THIS IS DONE IN SPSS USING BREAST CANCER AND OBESITY DATASET
Dataset Background – PLEASE READ:
Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women.
One mechanism explaining why obesity is a risk factor is that it may raise estrogen levels in women.
In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer.
To better assess this relationship, researchers studied a group of 200 postmenopausal women.
The SPSS file is entitled,
Breast Cancer and Obesity
.
Adiposity was measured in two different ways:
(a) by body mass index (BMI) = weight (kg) / height(m
2
) and also (b) by waist-hip ratio (WHR) = waist circumference/hip circumference.
BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity.
In addition, a complete hormonal profile was obtained, including serum estradiol.
Finally, other breast-cancer risk factors were also assessed among these women, including ethnicity, parity, age at first birth, and age at menarche.
Codebook
Variable
Column
Code
Label
Values (if categorical)
Id
1
Identification number
ES_1
2
Serum Estradiol
ETHNIC
3
Ethnicity
1 = African-American, 0 = Caucasian
NUMCHILD
4
Parity, number of children
AGEFBO
5
Age at 1
st
birth
(missing a response if never had a child)
ANYKIDS
6
Gave birth to any children?
1 = Yes, 0 = No
AGEMENAR
7
Age at menarche
BMI
8
Body Mass Index
WHR
9
Waist-hip ratio
**Missing responses are left blank
ALSO THE FOLLOWING CONTINUOUS VARIABLES HAVE BEEN CATEGORIZED!!
BMI has been categorized, bmi_cat, :
normal BMI (<25) and abnormal BMI (25 or greater).
Menarche has been categorized, menarche_cat, two categories - 9-12 and 13-16
WHR has also been categorized, whr_category, 3 categories - 0-.69, .7-.79, and .8 and greater
1.
Is there a statistically significant difference in mean estradiol between African Americans and Caucasions?
a.
Provide a visual aid depicting the mean differences between the two groups.
2.
Is there a statistically significant difference in mean estradiol between ethnicity status depending on BMI_CAT (using the categorized variable, so normal or abnormal groups)?
3.
Please use the rock climbing performance dataset.
Here is the description:
This is research done by a senior at PSU-Berks.
He was interested in determining the effects of imagery on rock climbing performance.
He chose 20 experienced rock climbers.
With randomization on the order, he had them climb with no imagery on a rock wall and then had them climb with imagery (on a different but same difficulty wall).
Ignoring issues of confounding, can we conclude that imagery decreases rock wall climb time (in seconds)?
(15pts)
a.
What statistical test should be use.
The study aimed to assess and compare the nutritional status, body composition, physical activity levels, and injury rates between karate students and non-karate students aged 13-17 years. It found that karate students generally had lower socioeconomic status and were underweight, while non-karate students had higher socioeconomic status and were overweight. Both groups had inadequate nutrient intakes compared to RDA values, but karate students' intake was more deficient due to their financial constraints. Significant correlations were also found between physical activity and BMI for both groups, as well as between fat intake and BMI for boys and protein intake and BMI for girls. The study highlights the vulnerability of karate students to nutritional deficiencies and injuries due to vigorous
Response of children with down syndrome to physical activity programme on mot...Alexander Decker
This document describes a study that examined the effects of a 12-week physical activity program on motor proficiency and functional abilities in children with Down syndrome. 30 children between 10-18 years of age were randomly assigned to an experimental or control group. The experimental group participated in 55-minute physical activity sessions three times per week, while the control group did not receive the training. Both groups were tested before and after using measures of motor skills and functional abilities. The results showed that the experimental group significantly improved in 6 motor skills and all 3 functional ability areas, while the control group did not improve as much. This suggests the physical activity program was effective at enhancing motor proficiency and daily living skills in children with Down syndrome.
Cardiovascular Response to Video Game: EyeToy KineticBiray Alsac
The document summarizes a study that examined the cardiovascular demands of four activity conditions from the video game EyeToy: Kinetic in college-aged men and women. The study found that all four conditions elicited heart rates and ratings of perceived exertion that met American College of Sports Medicine guidelines for moderate to vigorous physical activity. While performance quality in the game was not correlated with heart rate or exertion, the study demonstrated that interactive video games like EyeToy: Kinetic can provide cardiovascular benefits and may promote physical activity in users.
Obesity- Tipping Back the Scales of the Nation 19th April, 2017mckenln
The document outlines Professor Gareth Stratton's research on childhood physical activity and fitness levels. It discusses trends showing declining fitness and rising obesity rates in children over time. It then describes various studies and interventions to promote physical activity in children, such as exergaming, active playgrounds, and after-school activity programs. The goal is to understand factors influencing the "fitness to fatness" trend and develop strategies to reverse it by helping children be more active and fit.
Comparative Study on Physical Fitness of Volleyball and Football Players in U...iosrjce
Background: Physical fitness is an essential first and foremost criterion in every game. Without having physical
fitness no one can elicit his amble performance level. Therefore it is essential to investigate that in which game
among Volleyball and Football, the level of physical fitness is more essential. Aim: The purpose of this study
was to investigate the level of physical fitness of volleyball player and football player in university level.
Methodology: For the present study 15 male volleyball players and 15 male football players were selected
randomly and they had participated in university competition in 2004 from Jadavpur University. Age group of
the subjects was 18-24 years. To find out the physical fitness APHERED Youth Physical Fitness Test were
conducted. Statistics: For comparison of various physical fitness components of volley ball players and football
player independent t-test has done and level of significance has verified at 0.05 levels. Result: Finding reveals
that muscular strength of football player (5.33 times/min. pull ups) was higher than volley ball player (4.87
times/min. pull ups), the muscular endurance of football player (39.86 times sit ups) was higher than volleyball
player (38.73 times sit ups), agility of football player (19.32 sec.) was higher than volleyball player (19.78 sec.),
explosive leg strength of football player (6.90 mts.) was higher than volleyball player (6.78 mts.), Speed of
football player (6.70 sec.) was higher than volley ball player (6.99 sec.) and also cardiovascular endurance of
football player (1.82 min.) was higher than volleyball player (1.82 min.) but the difference in agility and speed
were significant at 0.05 level. Conclusion: The physical fitness of football player was higher than the volleyball
player.
The study surveyed 198 Greek students aged 15-17 years on their physical activity levels using the stages of change model. The majority (63%) were physically active in stages 4 or 5, with 53% in stage 5 having maintained an active lifestyle for over 6 months. Boys showed higher activity levels than girls at 75% versus 54%. Younger students (1st grade) had higher activity levels than older students (78% versus 50% for 3rd grade). Thus, inactivity seemed more pronounced among girls and older students. The researchers concluded that physical activity programs and services should emphasize girls and older students more prone to inactivity.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
South African Journal of Science: Writing with integrity workshop (2024)
250 words mettle.docx
1. THE DIFFERENCE BETWEEN THE BEST AND WORST PHYSICAL
STRENGTH PERFORMANCES COMPARING SCHOOL YEAR
GROUPS, PHYSICALABILITY AND GENDER
Submitted by:
Anns Mariya Antony & Febin Tomy
INTRODUCTION:
Sports or physical performance is a complex area of human physiology that can fluctuate greatly
between people and backgrounds (Bandura, A. 1999., Kellmann, 2002., Bloomfield et al., 2009). It has
long been acknowledged that sexual orientation may play a role in explaining these variations, male
and female bodies differ physically from one another due to differences in physiology, anatomy, and
hormones (Gurieva et al., 2022). The objective of this study is to explore potential comparison with age
and gender-related differences in tasks involving upper and lower body strength, explosive power,
speed, and grip strength, additionally, this paper also sets out to establish differences between the best
performances of a school year group and the worse performances of the year group above thereby
identifying the overlap in physical performance between year groups and genders.
METHODS:
The study was conducted to find the best and worst of different school year groups' physical strength,
how gender influences these patterns, and potential implications for promoting healthy ageing and
physical well-being. The participants in this study are boys and girls and the school year group is
between 6 to 9 (Table 1), where the percentage of boys is greater than girls except for school year 6
(Graph 1). There were 4 testing stations conducting different testing batteries, and each testing battery
conducted different tests with different assessments and types of equipment (Table 1.2), lasting 40
minutes. Each test consisted of three trials with a minute of rest in between each repetition and the best
result taken from the outcome. The participants belong to Springs Academy and Westways.
2. School
year Gender Participants Percentage
6
Girls 32 55 %
Boys 26 45 %
7
Girls 61 48 %
Boys 65 52 %
8
Girls 89 47 %
Boys 99 53 %
9
Girls 57 45 %
Boys 71 55 %
Table 1
Graph 1
Station Test Assessment Equipment
1 15m sprint
The acceleration and speed for 15 meters
from a static start
Brower timing gates , tape ,
cones
2 Handgrip strength Measuring hand and forearm strength
Hand dynamometer and
stopwatch
3
Standing broad
jump
Lower body maximal strength by
measuring the distance jumped Measuring tape, cones
4 Med ball throw The explosive power of the overall body
Measuring tape, Med ball
(3kg) and cones
Table 1.2
To find the best and worst performance and to compare we have taken the top 10% and worst 10% of
performance for each test with respect to age and gender. Then the data will be analysed using box
plot .
3. STATISTICALANALYSIS :
An Independent T-test was used to compare the two independent groups and determine the significance
between them by using the SPSS software. Here we took the confidence interval as 90 %, and Levene’s
test was used to assess the equality variance between the group.
RESULT:
Medball throw
The result (Table 1.3) p-value <0.05 suggests that there is a statistically significant difference between
the mean MedBall throw scores of boys and girls. The t-statistics are positive, indicating that the mean
MedBall throw score for boys (M = 6.0905, SD = 1.95310) is higher than that of girls (M =
5.4723, SD = 1.50919). Contrary to the results (graph 1.2) shown in the year 6,8 and 9, girls perform
well than boys in the year 7.
Graph 1.2
4. Table 1.3
Broad jump
There is a significant difference in Broad Jump scores between boys and girls (p < 0.05). Boys
demonstrated significantly higher Broad Jump performance (mean = 1.6074, SD = 0.27280)
compared to girls (mean = 1.4019, SD = 0.24238).
Graph 1.3
5. Table 1.4
Grip strength
The results (Table 1.5) indicate that there is a statistically significant difference in grip strength between
boys and girls at a significance level (p-value) less than 0.05. Boys have a higher mean grip strength
(Mean=26.9716) compared to girls (Mean=23.9190). Whereas, from the result (Graph 1.4)girls
outperformed boys in year 7 deviating from the usual trends in years 6,8 and 9.
Graph 1.4
6. Table 1.5
Sprint
The t-test result indicates that the mean sprint speed of boys (M = 2.8791 seconds) is significantly
different from the mean sprint speed of girls (M = 3.2020 seconds) at the 0.05 level of significance.
Graph 1.5
7. Table 1.6
COMPARISON OF BEST AND WORST
Broad Jump
For the top 10 % performance in all age groups, there is some overlap between the male and female
athletes. In most age groups, the median broad jump distance for male athletes appears higher, but the
ranges overlap significantly, indicating that there's no clear distinction in performance between genders.
For the worst 10 % performance in the 6-year-old age group, there's overlap between the male and
female athletes. The ranges overlap, indicating that there's no significant gender-based distinction in the
worst broad jump performance. In the 7-year-old age group, male and female athletes have some overlap
in their range, suggesting that there's no clear gender-based difference in the worst performance. In the
8-year-old and 9-year-old age groups, the same trend continues, with overlapping ranges indicating that
there's no distinct separation in worst broad jump performance between genders.
Broad Jump Throw best and worst performance for School year 6
Performance Gender Min
Quartile
1 Median
Quartile
3 Max Mean IQR LL UL
Best
Boy 2 2 2 2 2 2 0 2 2
Girl 1.9 1.9 1.9 1.9 1.9 1.9 0 1.9 1.9
Worst
Boy 0.9 0.9 1.1 1.2 1.2 1.07 0.3 0.45 1.65
Girl 1.02 1.02 1.1 1.11 1.1 1.08 0.1 0.885 1.245
8. Broad Jump Throw, best and worst performance for School year 7
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 1.8 1.805 1.85 1.95 2.3 1.91 0.1 1.59 2.17
Girl 1.65 1.7 1.85 1.785 1.8 1.73 0.1 1.57 1.91
Worst
Boy 1.07 1.115 1.2 1.325 1.9 1.21 0.2 0.8 1.64
Girl 1 1 1.1 1.115 1.2 1.08 0.1 0.83 1.29
9. Broad Jump Throw, best and worst performance for School year 8
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 1.9 1.93 2 2.1 2.2 2.02 0.2 1.68 2.36
Girl 1.65 1.68 1.7 1.74 1.8 1.71 0.1 1.59 1.83
Worst
Boy 1.01 1.07 1.15 1.2 1.2 1.13 0.1 0.88 1.4
Girl 0.7 0.85 0.9 2.1 2.2 1.28 1.3
-
1.03 3.98
Broad Jump Throw, best and worst performance for School year 9
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 2.1 2.1 2.13 2.17 2.2 2.14 0.1 2 2.28
Girl 1.78 1.795 1.9 2.0375 2.2 1.92 0.2 1.43 2.4
Worst
Boy 1 1.075 1.195 1.3 1.3 1.18 0.2 0.74 1.64
Girl 0.9 0.9 1 1 1 0.97 0.1 0.75 1.15
10. Hand Grip
For most age groups in top-performing for handgrip, there is an overlap between the boxes of male and
female athletes. The median handgrip strength for male athletes seems to be higher, but the ranges
overlap, suggesting no clear gender-based performance difference.
For worst performing in most age groups, there's overlap between the range of male and female athletes,
suggesting no significant gender-based difference in worst handgrip performance.
Hand Grip ,best and worst performance for School year 6
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 25.4 25.4 25.4 27.6 27.6 26.13 2.2 22.1 30.9
Girl 22.4 22.4 22.8 28 28 24.4 5.6 14 36.4
Worst
Boy 13.9 13.9 14.6 14.7 14.7 14.4 0.8 12.7 15.9
Girl 12.6 12.6 13.3 13.3 13.3 13.07 0.7 11.55 14.35
11. Hand Grip, best and worst performance for School year 7
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 28.8 28.95 31.2 32.8 34.3 31.056 3.8 23.18 38.58
Girl 28.8 29.05 29.4 30.35 36.6 30.322 1.3 27.1 32.3
Worst
Boy 12.8 13.25 14.9 16.1 16.5 14.711 2.9 8.975 20.38
Girl 11.7 13.7 15.5 16.45 16.7 14.867 2.8 9.58 20.58
Hand Grip ,best and worst performance for School year 8
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 32.1 32.4 33.7 36.25 37.1 34.16 3.9 26.63 42.03
Girl 28.6 28.85 29.9 31.65 31.9 30.211 2.8 24.65 35.85
Worst
Boy 12.8 17.15 18.6 19.05 19.4 17.733 1.9 14.3 21.9
Girl 11.3 14.3 16.2 17.6 17.9 15.80 3.3 9.35 22.55
12. Hand Grip ,best and worst performance for School year 9
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 46 46.38 48.55 49.225 49.9 48.08 2.9 42.1 53.5
Girl 35.9 36.43 37.4 43.2 44.1 39.05 6.8 26.26 53.36
Worst
Boy 15 18.15 21.65 23.2 24.1 20.75 5.1 10.58 30.78
Girl 15.7 18.03 21 21.6 21.9 19.98 3.6 12.66 26.96
13. MedBall throw
The 10 % of the top performance of med ball throw, In the younger age groups (6, 7), there's overlap in
performance between genders. However, in the older age groups (8, 9), the med ball throw distances
for female athletes seem to have larger spreads and higher outliers, potentially suggesting some
variation in performance. For 10 % of the worst performance in all age groups, there's overlap in the
range of male and female athletes for performance. This indicates that there's no significant gender-
based difference in the worst med ball performance.
MedBall ,best and worst performance for School year 6
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 7.2 7.2 7.2 8.5 8.5 7.6333 1.3 5.25 10.45
Girl 6.2 6.2 6.4 6.6 6.6 6.40 0.4 5.6 7.2
Worst
Boy 3 3 3.6 3.8 3.8 3.4667 0.8 1.8 5
Girl 1.2 1.2 2.15 3.8 3.8 3.4667 2.6 -2.7 7.7
14. Med Ball, best and worst performance for School year 7
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 6.4 6.6 6.8 7.45 8 6.9889 0.9 5.325 8.725
Girl 6.5 6.55 6.7 8.25 10 7.3889 1.7 4 10.8
Worst
Boy 2.2 2.7 2.6011 2.76 2.78 2.6263 0.1 2.61 2.85
Girl 3 3.55 3.7 4.1 4.1 3.7444 0.6 2.73 4.93
Med Ball, best and worst performance for School year 8
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 8 8.15 8.9 9.25 9.6 8.7778 1.1 6.5 10.9
Girl 7 7.15 7.4 8.75 10.5 7.9678 1.6 4.75 11.15
Worst
Boy 2.1 2.85 3.1 3.3 3.3 3.0111 0.5 2.175 3.975
Girl 2.5 2.8 3.5 3.65 3.7 3.2778 0.9 1.53 4.93
15. Med Ball, best and worst performance for School year 9
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 10.6 11.28 11.9 12.175 12.7 11.767 0.9 9.925 13.53
Girl 8.7 8.775 9.8 10.425 11.4 9.7667 1.7 6.3 12.9
Worst
Boy 2.6 3.425 4.5 4.8 4.8 4.15 1.4 1.363 6.863
Girl 3.3 3.9 4.2 4.225 4.3 4.05 0.3 3.41 4.71
16.
17. Sprint
For the top 10 % performance for the sprint, the box plots for sprint performance show similar trends.
The medians are close for most age groups, and there's overlap in the ranges, implying no significant
gender-based difference in sprint performance.
For the 10 % of the worst performance for the sprint 6-year-old age group, there's some overlap in the
range, indicating that there's no strong separation in the worst sprint performance between genders.
The same overlap continues in the 7-year-old age group, implying similar worst sprint performance for
male and female athletes. In the 8-year-old and 9-year-old age groups, the range still overlaps,
suggesting that there's no distinct gender-based difference in worst sprint performance.
Sprint ,best and worst performance for School year 6
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 2.1 2.1 2.2 2.7 2.7 2.33 0.6 1.2 3.6
Girl 2.6 2.6 2.8 2.9 2.9 2.77 0.3 2.15 3.35
Worst
Boy 3.2 3.2 3.5 3.6 3.6 3.43 0.4 2.6 4.2
Girl 4 4 4.1 4.33 4.3 4.14 0.3 3.51 4.83
Sprint, best and worst performance for School year 7
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 2.5 2.61 2.69 2.7 2.7 2.65 0.1 2.48 2.84
Girl 2.6 2.7 2.8 2.8 2.8 2.74 0.1 2.55 2.95
Worst
Boy 3.2 3.245 3.3 3.555 4 3.41 0.3 2.78 4.02
Girl 3.6 3.75 4.1 4.45 1.8 4.12 0.7 2.70 5.50
18. Sprint, best and worst performance for School year 8
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 2.1 2.4 2.5 2.6 2.6 2.47 0.2 2.1 2.9
Girl 2.4 2.55 2.6 2.75 2.8 2.63 0.2 2.25 3.05
Worst
Boy 3.4 3.45 3.6 3.8 4.3 3.2 0.4 2.93 4.33
Girl 3.9 3.95 4.2 5 9 4.82 1.1 2.38 6.58
19. Sprint, best and worst performance for School year 9
Performance Gender Min Quart1 Median
Quart
3 Max Mean IQR LL UL
Best
Boy 2.2 2.2 2.3 2.325 2.4 2.28 0.1 2.01 2.51
Girl 2.3 2.375 2.45 2.525 2.6 2.45 0.2 2.15 2.75
Worst
Boy 3.1 3.115 3.28 3.575 3.8 3.35 0.5 2.43 4.27
Girl 3.5 3.5 3.65 4.25 5 3.88 0.8 2.38 5.38
DISCUSSION
The study aimed to explore age and gender-related differences in various physical attributes, such as
upper and lower body strength, explosive power, speed, and grip strength, among boys and girls in
school years 6 to 9. Statistical analysis revealed several key findings across different tests.
In terms of MedBall Throw, boys exhibited significantly higher scores than girls, suggesting a gender-
based difference in explosive power. Similarly, boys outperformed girls in Broad Jump, indicating
superior lower body strength and power. Grip strength also favoured boys over girls, emphasizing their
physical advantage in upper body strength. Sprint performance demonstrated a significant difference
between genders, with boys showing faster speeds.
20. Comparing best and worst performances within each test and age group, overlap in ranges between
genders was observed for both top and worst performers, indicating that gender differences might not
significantly affect extreme performances. This suggests that age-related growth and development
might influence performance more than gender in these age groups.
CONCLUSION
The study provides valuable insights into age and gender-based differences in various physical
performance attributes among children aged 6 to 9 years. Boys generally exhibited slightly improved
performance in upper and lower body strength, explosive power, and sprinting speed compared to girls
within this age group. However, it's important to note that despite these differences, there was
considerable overlap in performance ranges between genders, especially in the worst-performing
categories.
21. REFERENCE
Bandura, A. (1999). A social cognitive theory of personality. In L. Pervin & O. John (Ed.), Handbook
of personality (2nd ed., pp. 154-196). New York: Guilford Publications. (Reprinted in D. Cervone &
Y. Shoda [Eds.], The coherence of personality. New York: Guilford Press.)
Bloomfield, J., Elliott, B. C., & Ackland, T. R. (2009). Applied anatomy and biomechanics in sport.
Human Kinetics.
Carroll, R. J., & Schneider, H. (1985). A note on levene’s tests for equality of variances. Statistics &
Probability Letters, 3(4), 191–194. https://doi.org/10.1016/0167-7152(85)90016-1
Gurieva, S. D., Kazantseva, T. V., Mararitsa, L. V., & Gundelakh, O. E. (2022). Social Perceptions of
Gender Differences and the Subjective Significance of the Gender Inequality Issue. Psychology in
Russia: State of the Art, 15(2), 65–82. https://doi.org/10.11621/pir.2022.0205
Kellmann, M. (2002). Enhancing recovery : preventing underperformance in athletes. Human
Kinetics.
Rochon, J., Gondan, M., & Kieser, M. (2012). To test or not to test: Preliminary assessment of
normality when comparing two independent samples. BMC Medical Research Methodology, 12(1).
https://doi.org/10.1186/1471-2288-12-81