Provide an example of a research project in your hometown where you would choose to use a t-test for independent samples. Would you use a one-tail or two-tail test, and why? What is your null hypothesis and research hypothesis? If you have a sample size of 500, should you interpret the statistical significance or the effect size?

Provide an example of a research project in your hometown where you would choose to use a t-test for independent samples. Would you use a one-tail or two-tail test, and why? What is your null hypothesis and research hypothesis? If you have a sample size of 500, should you interpret the statistical significance or the effect size?

Basic Clinical Laboratory Techniques 6E

6th Edition

ISBN:9781133893943

Author:ESTRIDGE

Publisher:ESTRIDGE

Chapter3: Basic Hemostasis

Section3.6: D-dimers

Problem 9RQ

See similar textbooks

Similar questions

You perform a chi-square test to compare observed and expected values and obtain a chi-square value of 9.4 with 3 degrees of freedom. What do you conclude? it is not likely that the difference between observed and expected values is due to random chance, since p>0.05 it is impossible to conclude anything from this information it is likely that the difference between observed and expected values is due to random chance, since p>0.05 it is likely that the difference between observed and expected values is due to random chance, since p<0.05 the experiment was done incorrectly and must be repeated it is not likely that the difference between observed and expected values is due to random chance, since p<0.05
A) If other factors are held constant, how does sample variance influence the likelihood of rejecting the null hypothesis and the measure of effect size (i.e. Cohen’s d)? B) Briefly explain what least square solution is.
1) Chi-square analysis generates a p value, an important indicator of statistical support for a hypothetical outcome. If a p value = 0.05 > p > 0.01, the tested hypothesis fails to be falsified. Agree/Disagree? Answer with explanation here:
Assume that a Chi-square test was conducted to test the goodness of fit to a 3:1 ratio and that a Chi-square value of 2.62 was obtained (Table value is equal to 3.84). Should the null hypothesis be accepted? How many degrees of freedom would be associated with this test of significance?
Which is the correct equation for the chisquare statistic? Group of answer choices a)x^2 = [(observed-expected)^2]/expected b)x^2 = sum[((observed-expected)^2)/observed] c)x^2 = sum[((observed-expected)^2)/expected] d)x^2 = sum[(observed-expected)/expected] What is a "p-value"? Group of answer choices a)the threshold at which you will reject the null hypothesis b)the probability of the null hypothesis being false c)the percentage of days you are sick during the year d)the probability of the null hypothesis being true
Which is the correct equation for the chisquare statistic? Group of answer choices a)x^2 = [(observed-expected)^2]/expected b)x^2 = sum[((observed-expected)^2)/observed] c)x^2 = sum[((observed-expected)^2)/expected] d)x^2 = sum[(observed-expected)/expected] What is a "p-value"? Group of answer choices a)the threshold at which you will reject the null hypothesis b)the probability of the null hypothesis being false c) the percentage of days you are sick during the year d) the probability of the null hypothesis being true
In your own words describe why we should use both samples to estimate the variance of the population when working with an independent two-sample design?
The following statements about the chi square test are correct. (Read each statement carefully. Select all of the statements below that are true (that you agree with). Leave any statements that are false (that you do not agree with) un- selected.) The null hypothesis infers that chance alone cannot account for the differences between observed and expected data. The null hypothesis infers that observed values are close enough to expected values. The lower the overall chi square value, the more likely the null hypothesis will be accepted. The higher the probability range associated with the overall chi square value, the more likely the null hypothesis will be rejected.
page - Columbus State Uni X content/2622738/viewContent/50155728/View + Calculating the Value of Chi-Square Once you've defined the null hypothesis (and know what you're testing!), you can finally calculate the chi-square value based on your observed data and the expected distribution. There are many statistical software packages and free web-based applications that will automate the calculation for you, but it's important to understand the calculation to understand the meaning of the calculated value. Here, we'll walk through it using a calculation table. This is Mendel's historic data for the F2 generation of monohybrid cross for flower color. Recall that he expected to see in the F2 generation a ratio of 3 purple : 1 white. Chi-square calculation for data from a monohybrid cross with an expected 3 purple : 1 white ratio. Outcomes Observed (0) Expected (E) O-E (0-E)2 (O-E)²/E Purple White Totals 705 224 929 X²= The first step is to calculate the expected (E) values for purple and…
What does P-value indicate? In statistical analysis the results for two sets of data are presented with P < 0.01 and P<0.005. What does it mean?
What is the primary reason for randomizing group allocation in a randomized controlled trial (RCT)? Question 3 options: to create treatment and control groups of equal size to blind participants to their group allocation to evenly distribute known and unknown factors that may affect the outcome between groups to increase the treatment effect between intervention and control groups
Assume that a Chi-square test was conducted to test the goodness of fit to a 9:3:3:1 ratio and a Chi-square value of 10.62 was obtained. Should the null hypothesis be accepted?