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Q: How did your observed results compare to your expected results?
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What is the chi square test used for?

The chi-squared test is used to compare the observed results with the expected results. If expected and observed values are equal then chi-squared will be equal to zero. If chi-squared is equal to zero or very small, then the expected and observed values are close. Calculating the chi-squared value allows one to determine if there is a statistical significance between the observed and expected values. The formula for chi-squared is: X^2 = sum((observed - expected)^2 / expected) Using the degrees of freedom, use a table to determine the critical value. If X^2 > critical value, then there is a statistically significant difference between the observed and expected values. If X^2 < critical value, there there is no statistically significant difference between the observed and expected values.


What is A chi-square test of significance is essentially concerned with?

A chi-square test is often used as a "goodness-of-fit" test. You have a null hypothesis under which you expect some results. You carry out observations and get a set of results. The expected and observed results are used to calculate the chi-square statistic. This statistic is used to test how well the observations match the values expected under the null hypothesis. In other words, how good the fit between observed and expected values is.


Do the actual results deviate from what was expected If so explain how?

whats the meaning accurately expected results and actual results


What is an observation in a dataset?

It depends on the word usage (and what is being asked for). Usually, observation is the results of the experiment. In other words, experimental data. It can also refer to what the dataset shows you. For example, is there a significant deviation between the observed and expected results?


Why is calculating the standard deviation an important part of data analysis?

It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.


For many years TV executives used the guideline that 30 percent of the audience were?

165 = 33% ABC observed, 150/30% expected 140 = 28% CBS observed, 150/30% expected 125 = 25% NBC observed, 150/30% expected (500 less 430 is 70) 70 = 14% Cable observed, 50/10% expected Chi square test for goodness of fit (between the guideline and the sample) The Null is that the guideline and observed results have no significant difference, the Alternative is that they do have a difference. (3 degrees of freedom, 4 categories -1) gives a critical value of 7.82 at .05 significance The Chi test for this data is 14.32 so the Null is rejected and the Alternative is accepted.


What is a Chi Square table used for?

A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.


What is an activity in which results are observed?

Experiment


What are the expected results of a paracentesis procedure?

A diagnosis of the cause and/or relief from accumulated fluid pressure are the expected results.


How do i find expected value in a martingale system?

The expected value of a Martingale system is the last observed value.


How do you compare communism and capitalism?

You compare them by their empirical results.


Pablo rolled a standard die times He got a 1 twelve times How does this result compare to the expected results?

The expected values were 2 of each value. This differs significantly from what was expected. You could show that the die is most likely not fair by using a chi squared test for goodness of fit.