Picky Eaters (Example 13) In a 2017 Harris poll conducted for Uber Eats, 438 of 1019 U.S. adults polled said they were “picky eaters.” a. What proportion of the respondents said they were picky eaters? b. Find a 95 % confidence interval for the population proportion of U.S. adults who say they are picky eaters. c. Would a 90 % confidence interval based on this sample be wider or narrower than the 95 % interval? Give a reason for your answer. d. Construct the 90 % confidence interval. Was your conclusion in part c correct?
Picky Eaters (Example 13) In a 2017 Harris poll conducted for Uber Eats, 438 of 1019 U.S. adults polled said they were “picky eaters.” a. What proportion of the respondents said they were picky eaters? b. Find a 95 % confidence interval for the population proportion of U.S. adults who say they are picky eaters. c. Would a 90 % confidence interval based on this sample be wider or narrower than the 95 % interval? Give a reason for your answer. d. Construct the 90 % confidence interval. Was your conclusion in part c correct?
Solution Summary: The author explains how to determine the confidence interval for the population proportion of picky eaters in the U.S.
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
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.