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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?
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- 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?Considering that I have a chi-square test critical value of 3.84 what is the minimum X2 value for me to reject the null hypothesis? Is it 3.84 or 3.85?In a series of three experiments, M. G. Addo sought to use chi-square test to determine the goodness of fit at 5% for each of his results below. Carry out the calculations and determine whether the results obtained in each case are consistent with the 3:1 or 1:1:1:1 ratio he predicted in his hypothesis. Comment on your results. CROSS Tall x short Purple x white Round yellow (F1) x Wrinkled green (F1) RESULTS HΥΡΟΤHESIS 712:352 3:1 705 : 224 3:1 31:26:27:26 1:1:1:1
- 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<0.05If one is testing a goodness of fit to a 9:3:3:1 ratio, how many degrees of freedom would be associated with the Chi-square analysis?Which conclusion is supported by the results shown by the Punnett square?
- 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?Suppose we have the following table in our goodness of fit test results: Variable/Condition Value p-value 0.077 Significance level 0.05 Conclusion then what do we write in the cell corresponding to "Conclusion"? Suppose we have the following table in our goodness of fit test results: Variable/Condition Value p-value 0.077 Significance level 0.05 Conclusion then what do we write in the cell corresponding to "Conclusion"? We change the significance level to 0.95. We accept the null hypothesis that the disease possibly follows the specified mode of inheritance at the given gene. We reject the null hypothesis that the disease possibly follows the specified mode of inheritance at the given gene. We accept the null hypothesis that the disease almost certainly follows the specified mode of inheritance at the given gene. We collect more data.Calculate the Variance of the following data set: 10, 15, 13, 12, 14
- Using the data and the graph in the picture, do a chi-square and its statistical analysis?How are the standard deviation and variance related to each other? How are they different than just measuring the range? Can plot samples of dandelion cover from two different locations have the same mean but different variance? Explain. Can you answer question 3? Thanks.For most cases, a p value of 0.05 is used to determine whether results fit expected values. Is this a magic number, or could p values be set more stringently, say 0.01, or more lax, say 0.10? What effect would these values have on the reliability of the chi-square test?