Pollution Index (Example 8) In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 35.9 points with a standard deviation of 11.6 points. (Source: numbeo. com) see Guidance page 142. a. What percentage of eastern cities would you expect to have a pollution index between 12.7 and 59.1 points? b. What percentage of eastern cities would you expect to have a pollution index between 24.3 and 47.5 points? c. The pollution index for New York, in 2017 was 58.7 points. Based on this distribution, was this unusually high? Explain.
Pollution Index (Example 8) In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 35.9 points with a standard deviation of 11.6 points. (Source: numbeo. com) see Guidance page 142. a. What percentage of eastern cities would you expect to have a pollution index between 12.7 and 59.1 points? b. What percentage of eastern cities would you expect to have a pollution index between 24.3 and 47.5 points? c. The pollution index for New York, in 2017 was 58.7 points. Based on this distribution, was this unusually high? Explain.
Pollution Index (Example 8) In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 35.9 points with a standard deviation of 11.6 points. (Source: numbeo. com) see Guidance page 142.
a. What percentage of eastern cities would you expect to have a pollution index between 12.7 and 59.1 points?
b. What percentage of eastern cities would you expect to have a pollution index between 24.3 and 47.5 points?
c. The pollution index for New York, in 2017 was 58.7 points. Based on this distribution, was this unusually high? Explain.
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…
I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)
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