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- Describe in your own words what variance measures. Then explain why the variance of both samples must be used in the calculation of a t-test (In other words, explain why we have to factor in the variance when comparing the means).Calculate the Variance of the following data set: 10, 15, 13, 12, 14If 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?
- 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?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 diabetesIn 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?
- e. What is your p value? f. What is your conclusion? Is this population in Hardy Weinberg equilibrium or not?Calculate the standard error of regression (SER) for the Lineweaver–Burk slope and the Eadie–Hofstee slope to compare the precision of each. please answer this question Eadie–Hofstee SER: it is not 0.128, 0.028, 0.136, or 0.1362.The heights of mothers and daughters are given in the following table: Height of mother (in) Height of daughter (in) 64 66 65 66 66 68 64 65 63 65 63 62 59 62 62 64 61 63 60 62 a. Calculate the correlation coefficient for the heights of the mothers and daughters. b. Using regression, predict the expected height of a daughter whose mother is 67 inches tall.
- If the Chi-squared value for this system is 2.40, is.the population in Hardy-Weinberg equilibrium? Why? (note: the critical values for this test is 3.84). [Select]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…If n ≥ 100, you may use normal distribution in all cases. please do it with excel formulas.