Pollution Index In 2017 a pollution index was calculated for a sample of cities in the western states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 43.0 points with a standard deviation of 11.3 points. (Source: numbeo.com) a. What percentage of western cities would you expect to have a pollution index between 31.7 and 54.3 points? b. What percentage of western cities would you expect to have a pollution index between 20.4 and 65.6? c. The pollution index for San Jose in 2017 was 51.9 points. Based on this distribution, was this unusually high? Explain.
Pollution Index In 2017 a pollution index was calculated for a sample of cities in the western states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 43.0 points with a standard deviation of 11.3 points. (Source: numbeo.com) a. What percentage of western cities would you expect to have a pollution index between 31.7 and 54.3 points? b. What percentage of western cities would you expect to have a pollution index between 20.4 and 65.6? c. The pollution index for San Jose in 2017 was 51.9 points. Based on this distribution, was this unusually high? Explain.
Pollution Index In 2017 a pollution index was calculated for a sample of cities in the western states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was 43.0 points with a standard deviation of 11.3 points. (Source: numbeo.com)
a. What percentage of western cities would you expect to have a pollution index between 31.7 and 54.3 points?
b. What percentage of western cities would you expect to have a pollution index between 20.4 and 65.6?
c. The pollution index for San Jose in 2017 was 51.9 points. Based on this distribution, was this unusually high? Explain.
please find the answers for the yellows boxes using the information and the picture below
A marketing agency wants to determine whether different advertising platforms generate significantly different levels of customer engagement. The agency measures the average number of daily clicks on ads for three platforms: Social Media, Search Engines, and Email Campaigns. The agency collects data on daily clicks for each platform over a 10-day period and wants to test whether there is a statistically significant difference in the mean number of daily clicks among these platforms. Conduct ANOVA test.
You can provide your answer by inserting a text box and the answer must include: also please provide a step by on getting the answers in excel
Null hypothesis,
Alternative hypothesis,
Show answer (output table/summary table), and
Conclusion based on the P value.
A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers
Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800?
Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve)
Provide answers in the yellow cells
Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
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