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
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- Suppose that you are interested in estimating a population mean. You select a random sample of items, and compute the sample mean and the sample standard deviation. You then compute a 95% confidence interval to be LCL=28.4 - UCL=37.9. So what does that mean? It means that you are 95% confident that the unknown population mean that you are estimating is between the LCL and UCL. So what does that mean? It means that if you were to iterate this sampling process many times, say 100, and calculate 100 confidence intervals, then 95 of those intervals will contain the unknown population mean, and 5 will not. Give me an example of how CI can be used in your work. FYI I work in Endocrinology dept. Specific diabetesWhat 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?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?
- 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<0.05In 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?Using the data below, calculate the correlation: covariance -0.9 standard deviation(x) = 10.5 standard deviation(y) = 10.4 (calculate to 2 significant figures)
- Give typing answer with explanation and conclusion How to code time-varying covariate in scm for population PK modeling ?When a correlational study demonstrates a relationship between two variables, it allows researchers to use knowledge about one variable to ______________ the second variable. Describe how the third-variable problem and the directionality problem limit the interpretation of results from correlational research designs and support that a correlational study may establish that two variables are related, it does not mean that there must be a direct relationship between the two variables.The calculated chi-square value which is 0 is less than the critical value which is 5.991 (under the degree of freedom 2). What is the probability of the computed chi-square value? And is it part of the population in Hardy-Weinberg equilibrium?
- what is the Expectation and outcome of results, Logical interpretation of the dataand any errors?When a correlation coefficient is statistically significant, what doyou conclude about the two variables? What do the results meanwith regard to cause and effect?If the chi-square value is 0 under the degree of freedom 1. What could be the interpretation and does it fit in the population of Hardy-Weinberg equilibrium?