Sport Psychology

Solving Common Problems in PST

Assume that you're implementing a psychological skills training program for a high school soccer team. Discuss and document how you would solve the following PST problems.

Lack of conviction -

Lack of time -

Lack of sport knowledge -

Lack of follow-up -

1)Briefly explain what school accountability policies are and provide the economic arguments that support these policies.

2) Describe the No Child Left Behind Act. What was its original intent, how does it mandate that states assess adequate progress, and what are the sanctions that schools face if they do not meet these goals?

Explain how each formative assessment is aligned to the Language Development, Developing Language Across the Curriculum and preparing young language learners for later success in school and how it is developmentally appropriate. Include modifications you would need to make to meet the needs of all students (visual, auditory, sensory).
Summary.

Compare and contrast the first two levels of Kohlberg’s stages of moral reasoning. How does a preschool child’s morality differ from that of a school-age child? What are two criticisms of Kohlberg’s theory? Do you think these criticisms are valid? Explain your thinking IN AROUND 200 WORDS PLEASE.

Answer the following question

What are some of the advanced features for modeling available in Excel? Based on what many of you have already seen of Excel in CS105, are you surprised that Excel has so many capabilities? Do you use Excel for anything other than school work today?  

In my research I found:

For each of the two years choose two qualifiers to report on: Gender, Age group, Race/Ethnicity, Education, Household income

2016- North Carolina

Household income- $15,000- $24,999- Obese BMI: 30.0-99.8

38.1% have less than a High School Diploma

33.3% are females and 41.3% are black in addition to 39.9% are between the ages of 45-54 years old.

2015- North Carolina

31.3% of females are considered to be obese

36.8% have less than a High School Diploma

37.3% make between $25,000- $34,999 a year

31.3% are females

Lastly, tell the reader how how the physical activity data correlate with the obesity/BMI data you found? What do the trend data suggest? How do you interpret these data? What does this mean for public health practitioners? Where should our programs focus in the future?

How would you respond to the following questions posed by concerned parents?

a. Sammie, my pre-schooler, will not eat vegetables except French fries. I am considering "bribing him" to eat other vegetables. What is your advice about this? Why?

b. My 15 year old daughter sleeps to the last minute and barely has time to get dressed before it is time to leave for school. She says she skips breakfast to control calories to not gain weight? Should I worry that she isn't eating breakfast most days? Why? She eats a good lunch at school.

c. Our son is 16 years of age. He seems to be rarely home for meals. He seems to be using much of his allowance to buy snack foods- pop, chips, candy bars, energy drinks, etc. What can we do to help him eat more nutritiously?

In a school district, all sixth grade students take the same standardized test. The superintendant of the school district takes a random sample of 2323 scores from all of the students who took the test. She sees that the mean score is 147147 with a standard deviation of 18.963118.9631. The superintendant wants to know if the standard deviation has changed this year. Previously, the population standard deviation was 1212. Is there evidence that the standard deviation of test scores has increased at the α=0.01α=0.01 level? Assume the population is normally distributed.

Step 2 of 5 :

Determine the critical value(s) of the test statistic. If the test is two-tailed, separate the values with a comma. Round your answer to three decimal places.

Step 3 of 5: Determine the value of the test statistic. Round your answer to three decimal places.

Step 4 of 5: Make the decision

Step 5 of 5: What is the conclusion?

Question #2    Hypothesis Testing

A recent issue of AARP Bulletin reported that the average weekly pay for a woman with a high school diploma was $520. Suppose you would like to determine if the average weekly pay for all working women is significantly greater than that for women with a high school diploma. Data providing the weekly pay for a sample of 50 working women are available in the Excel file (Weekly Pay). Formulate the null and alternative hypotheses and conduct the appropriate test. What is your conclusion?

Weekly Pay

582         320       290     542     678       596        760         565        772

333         685       800     619     697       557        804         687        691

759         599       696     950     750       657         675        498

633         753       627     614     569       617         736        712

629         553       679     548     679      1230        565        533

523         641       667     570     598       648         587        424