Table 11.42 contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the same age classes in the USA. Perform a hypothesis test at the 5% significance level to determine whether the survey participants are a representative sample of the USA obese population. Age Class (Years) Obese Expected (Percentage) Observed Number that recycle one commodity Obese-Observed (Frequencies) 20−30 22.4 122 17.5 31−40 18.6 104 24 41−50 12.8 78 26.5 51−60 10.4 64 26 61−70 35.8 168 12 Table 11.42
Table 11.42 contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the same age classes in the USA. Perform a hypothesis test at the 5% significance level to determine whether the survey participants are a representative sample of the USA obese population. Age Class (Years) Obese Expected (Percentage) Observed Number that recycle one commodity Obese-Observed (Frequencies) 20−30 22.4 122 17.5 31−40 18.6 104 24 41−50 12.8 78 26.5 51−60 10.4 64 26 61−70 35.8 168 12 Table 11.42
Table 11.42 contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the same age classes in the USA. Perform a hypothesis test at the 5% significance level to determine whether the survey participants are a representative sample of the USA obese population.
Compute the median of the following data.
32, 41, 36, 42, 29, 30, 40, 22, 25, 37
Task Description:
Read the following case study and answer the questions that follow.
Ella is a 9-year-old third-grade student in an inclusive classroom. She has been diagnosed with Emotional and Behavioural Disorder (EBD). She has been struggling academically and socially due to
challenges related to self-regulation, impulsivity, and emotional outbursts. Ella's behaviour includes frequent tantrums, defiance toward authority figures, and difficulty forming positive relationships with peers. Despite her challenges, Ella shows an interest in art and creative activities and demonstrates strong verbal skills when calm.
Describe 2 strategies that could be implemented that could help Ella regulate her emotions in class (4 marks)
Explain 2 strategies that could improve Ella’s social skills (4 marks)
Identify 2 accommodations that could be implemented to support Ella academic progress and provide a rationale for your recommendation.(6 marks)
Provide a detailed explanation of 2 ways…
Question 2: When John started his first job, his first end-of-year salary was $82,500. In the following years, he received salary raises as shown in the following table.
Fill the Table: Fill the following table showing his end-of-year salary for each year. I have already provided the end-of-year salaries for the first three years. Calculate the end-of-year salaries for the remaining years using Excel. (If you Excel answer for the top 3 cells is not the same as the one in the following table, your formula / approach is incorrect) (2 points)
Geometric Mean of Salary Raises: Calculate the geometric mean of the salary raises using the percentage figures provided in the second column named “% Raise”. (The geometric mean for this calculation should be nearly identical to the arithmetic mean. If your answer deviates significantly from the mean, it's likely incorrect. 2 points)
Starting salary
% Raise
Raise
Salary after raise
75000
10%
7500
82500
82500
4%
3300…
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