My question: Dependent-samples t-test: (a) develop a research question that can be addressed with dependent-samples t-test, (b) state the null and alternative hypotheses (in words), (c) state the alpha level, (d) run the analysis, and (e) provide interpretation of results (including checks for assumptions and effect size) following APA format

Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal))  In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10.     Male Subject ID  Education    Female Subject ID  Education  1  14    13  14  2  15    14  15  3  17    15  18  4  13    16  18  5  15    17  16  6  15    18  17  7  13    19  16  8  15    20  16  9  15    21  17  10  16    22  15  11  17…

(a) What is a sample, i.e. test, statistic? (b) Why do we compare a test statistic to the critical value(s) in a hypothesis test?

What test should you use to analyze these results, and why? Will you use a one-tailed or a two-tailed test? Also, what is the result of your analysis?

Please help with 1-8! I've seen a bunch of different answers and would love work shown so I can understand. Thank you! 1. are the samples dependent or independent? 2. State null/alternative hypotheses 3. what is the test statistic? 4. What is the p-value? 5. What are the critical values? 6. Does the test statistic lie in the rejection region? 7. interpret the results 8: does the result change for a different value of alpha? Explain

A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response.     Diet Low in Processed Foods Normal BP High BP Total College Education 124 55 179 High School Education 69 152 221 Total 193 207 400   Diet High in Processed Foods Normal BP High BP Total College Education 64 85 149 High School Education 98 153 251 Total 162 238 400     The chi square value of 37.724 is higher than the chi square value of 3.84; therefore, we can accept H0 at…

You are conducting a study to see if the accuracy rate for fingerprint identification is significantly different from 0.23. You use a significance level of α=0.01      H0:p=0.23      H1:p≠0.23You obtain a sample of size n=228n=228 in which there are 70 successes.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... The sample data support the claim that the accuracy rate for fingerprint identification is different from 0.23. There is not sufficient sample evidence to support the claim that the accuracy rate for fingerprint identification is different from 0.23.

On a trial basis, State College admitted 300 students from the lowest third of their high school graduation class.  They were randomly divided into 3 groups. Group A received extensive training in study habits Group B received motivational lectures; and Group C received no special treatment. At the end of the year, the average grades of the groups were compared. Identify the following: * What is the Independent variable? * What is the Dependent variable? * Who is in the Experimental Group? * Who is in the Control Group? * What are at least 2 potential extraneous variables?

Name of the procedure/formula (e.g., ANOVA, Chi-Square, Hypothesis Test using z formula, Regression Analysis, etc.).