Does the sample appear to be adequate? does its size and construction give a sense of confidence in the studies finding? SURVEY METHODSResults for this Gallup poll are based on telephone interviews conducted May 3-18,2021, with a random sample of 1,016 adults, aged 18 and older, living in all 50 U.S. statesand the District of Columbia. For results based on the total sample of national adults, themargin of sampling error is +4 percentage points at the 95% confidence level. Allreported margins of sampling error include computed design effects for weighting.Each sample of national adults includes a minimum quota of 70% cellphonerespondents and 30% landline respondents, with additional minimum quotas by timezone within region. Landline and cellular telephone numbers are selected using random-digit-dial methods.80%66°to searchXL TY06/26/17PriscAncertF9F10F12F5F6F88

Given information: The results of a survey is given.

Answered: Results for this Gallup poll are based…

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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A recent article published by the Wall Street Journal said the Cincinnati airport had the most expensive airfares among the largest airports in the US. While they had some statistics to support this statement, a statistician decided to investigate further. A sample of 46 flights originating in Cincinnati was selected, and the round-trip airfare for each flight was recorded. The sample data is summarized in the StatCrunch output below: With 98% confidence, we estimate the mean airfare for flights out of Cincinnati is between $ and $. (Round the limits of your interval to 4 decimal places.) The mean airfare nationwide was reported as $376 for a round-trip ticket. Does the interval found above support the claim that Cincinnati has airfares which are more expensive than other airports in the US? The interval does not support the claim because the entire interval is not above $376. We can't make this conclusion based on a confidence interval. The interval does not support this claim…
Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. A researcher studying psychological well-being between children from single-parent vs. two-parent families recruits 20 children from two-parent families and 20 children from single-parent families and measures their psychological adjustment.
What happens to the width of a confidence interval as the significance level, a, decreases?
What type of statistical test is this? Is the test significant? In order to determine where the main mean differences lie, the researcher would also need to conduct a _______?
I need help finding the test statistic (part b) and finding the p-value (part c)
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
A psychologist wants to demonstrate the effectiveness of ACT therapy for the treatment of depression. 30 people who were seeking treatment for depression asked to complete the Beck depression inventory (BDI) before the first sessionof therapy and again after one month of therapy. Which statistical test would be best to determine if there is a significant difference between measures? One sample t-test Dependent samples t-test Independent samples t- test ANOVA
Why are confidence intervals important and what do they mean to a study?
Using this information, contruct a 90% confidence interval for the true proportion
Describe the construction and interpretation of confidence interval estimates for the mean and the proportion.
Explain whether the Empirical Rule can be used to describe the chosen data sets in Part 3a. Justify your response with a thorough explanation. Hint: Do either have outliers and/or extreme skewness? Variable1 (Female Height): Variable 2 (Female Weight): Min 54.2 75.3 Q1 60.4 118.4 Median (Q2) 62.4 170.8 Q3 65.6 212.2 Max 74.9 396.1
N1=26 n2=13 Mean1=48 mean2=45 Standard deviation1=9,2 Standard deviation2=4,1 b) Construct a 95% confidence interval to test whether the two sample means differs. Interpret your answers. c) State the assumptions used

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