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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Using this information, contruct a 90% confidence interval for the true proportion
Q: Using the data (provided below this question) apply ANOVA to determine if the mean response for value for the dollar is the same for different types of cell phones. Use a 5% significance level if the problem doesn’t give an alpha. Note: Please only provide the t stat, p-value, and critical value, no need to explain the whole process. Gender Carrier Type Usage Signal strength Value for the Dollar Customer Service M AT&T Smart High 5 4 4 M AT&T Smart High 5 4 2 M AT&T Smart Average 4 4 4 M AT&T Smart Very high 2 3 3 M AT&T Smart Very high 5 5 2 M AT&T Smart Very high 4 3 5 M AT&T Smart Very high 3 4 4 F AT&T Smart Very high 3 2 3 F AT&T Smart Very high 4 3 4 M AT&T Smart Very high 3 3 1 M Other Smart Average 1 2 4 M Sprint Smart Very high 3 5 4 M Sprint Smart Very high 3 5 3 F Sprint Smart Average 2 5 4 F Sprint Smart Average 3 5 4 M Verizon Smart Average 4 3 3 F Verizon Smart Very high 4 3 2 M Verizon…
Provide a significance level and explain how the confidence levels, C, are different for one and two tail tests. Provide pictures (with areas labeled) to support each C.
How do you Recalculate the sample size needed for hat p =0.27?
Compared to an independent-measures design, a repeated-measured study is more likely to find a significant effect because it reduces the contribution of variance due to ____. a. MD b. the effect of the treatment c. degrees of freedom d. individual differences
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
Repeated baseline measurements help improve the ____ of a single-subject study. A.Ecological validity B. Generalizability C. Internal validity D. Sample's representativeness
Which statistical method can be considered as an extension of One-Way ANOVA to incorporate a "covariate"? a. two way ANOVA b. ANCOVA c. Normality Testing d. Covariance
Part 1: Hypothesis Test for the Mean- Manual Tasks• Define your concern of interest drawing upon your variables in your dataset.• Conceptualize your null and alternate hypotheses based on your testing concept.a. Apply 1 one-sided test (upper-tail or lower-tail) and 1 two-sided test concepts for the mean with unknown population standard deviation (�) at 1%, 5%, or 10% levels of significance (choose one of them for each test) by stating the appropriate decision rule. b. Calculate p-value for each of your tests and perform testing for your same hypotheses with p-value solution. Comment on how p-value changes for 1%, 5%, and 10% significance levels (for all three).**Here in order to apply normal distribution approximation, it would be better if you choose your sample size greater than 100 (n>100).c. Make a confidence interval estimation for the population mean with unknown variancebased on 90%, 95% and 99% confidence levels and make interpretations for all three. Data is: Name…
A random sample is to be selected from a population that has a proportion of successes p. (a) For which of the following sample sizes would the sampling distribution of p̂ be approximately normal if p = 0.55? (Select all that apply.) n = 10 n = 30 n = 70 n = 90 n = 100 n = 200 (b) For which of the following sample sizes would the sampling distribution of p̂ be approximately normal if p = 0.4? (Select all that apply.) n = 10 n = 30 n = 70 n = 90 n = 100 n = 200
Suppose you have to construct a 98% confidence interval for a 10-sample study, what is the corresponding critical value of ta2?
Why would manufacturers or businesses be interested in constructing a confidence interval for the population measure? Would manufacturers or businesses want large or small margins of error?

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