Unhealthy Days in Cities The number of unhealthy days based on the AQI (Air Quality Index) for a random sample of metropolitan areas is shown. Round thesample statistics and final answers to at least one decimal place.23 10 32 24 0 5 27 5 50 6Construct a 95% confidence interval based on the data. Assume the variable is normally distributed.10.9 < μ < 25.5GContinueSubmit

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Answered: Unhealthy Days in Cities The number of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Assum a sample is used to estimate a populatation mean. Find the 95% confidence interval for a sample size of 41 with a mean of 64.2 and a standard deviation of 13.4. Enter answer as an open interval (i.e. parentheses) accurate to 3 decimal places.
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Sample size 42, mean. 53.1, and standard deviation 8.2 An 80% confidence interval for population mean is
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Review the work below for calculating a confidence interval for a sample mean. Redo the work and confirm that it is correct, or correct it and note the errors. What is the final margin of error E? What is the final confidence interval? Offer an example of a population mean that would fit into the confidence interval. Offer an example of a population mean that would be outside of the confidence interval.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
* Question Completion Status: QUESTION 12 In a random sample of 10 adults each of them ate 100 g of dark chocolate and in another random sample of 15 adults each of them a chocolate. After one hour their blood plasma antioxidant capacity was measured and the summary statistics are given below. ate 100 g of milk Sample standard deviation 6.2 7.2 Sample mean Dark chocolate (DC) Milk chocolate (MC) 171.5 160.0 At 5% significance level do the data provide sufficient evidence that dark chocolate produces a higher mean level of total blood plasma capacity than milk chocolate? Assume that the population distributions are normal with equal variance. antioxidant a. The altemative hypothesis is H1: PDarkc (
Women N Mean Standard Deviation New Drug 40 38.88 3.97 Placebo 41 39.24 4.21 Men N Mean Standard Deviation New Drug 10 45.25 1.89 Placebo 9 39.06 2.22 There is no statistical difference between the new drug and the placebo in women. Is there a significant difference between the placebo and the new drug among men in this study? The pooled standard deviation is equal to 2.05. Please complete the 5 steps of hypothesis testing. Remember that the n of both groups is less than 30.
Please use the approporate stats table provided. Do not use a software for this problem. Q17: If the mean number of serious accidents per year in a large factory (where the number of employees remains constant) is five, find the probability that in the current year there will be:a. No accidents b. One accident c. Two or more
Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below. Population Sample Size Sample Mean Sample Variance 1 36 9.5 8.81 2 47 7.5 14.82 Construct a 90% confidence interval for the difference in the population means. (Use #₁-₂. Round your answers to two decimal places.) to Construct a 99% confidence interval for the difference in the population means. (Round your answers to two decimal places.) to What does the phrase "90% confident" or "99% confident" mean? ○ In repeated sampling, 10% (or 1% as the case may be) of all intervals constructed in this manner will enclose ₁-₂. Hence, we are fairly certain that this particular interval contains #₁ H₂ ○ In repeated sampling, 90% (or 99% as the case may be) of all intervals constructed in this manner will enclose #₁ - #₂. Hence, we are fairly certain that this particular interval contains #₁ - M₂. O 90% (or 99% as the case may be) of all values from populations 1 and 2…
A survey information given below, Sample mean = 5.5, s=2.517, df-8 and confidence level 95% (coresponding test statistic value is 2.303). Based on this information answer the folowing: Which test is appropriate, z-test or t-test? Type either "z-test" or "t-test" A What was the sample size? A Calculate the margin of error. (Report two decimal point, #.##) A Calculate the confidence interval-write lower and uppler value using comma ",". (Report two A If the df decimal point: #.##, #.##) increases to 30 then what will impact on the margin of error? Write either "increase" A If the df or "decrease" or "no change" increases to 30 then what will impact on the confidence interval? Write either "wide" or "narrow" or "no change"

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