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Expecting it what you think or assume will happen

While observing is watching something happen before you

Example: you expect the monkey to take the banana. but you observe that it did in fact not take it.

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10y ago

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To decide whether observed differences between samples reflect actual differences between?

statistical significance


How much do the expected genotypes of 100 offspring with the observed genotypes disagree?

If the expected genotypes match the observed genotypes perfectly, there should be no disagreement. If there is disagreement, it can be quantified using a statistical measure such as the chi-squared test to determine the degree of deviation between the expected and observed genotypes. The larger the difference between the expected and observed genotypes, the greater the disagreement.


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 are the differences between what is said or done and what is meant or expected called?

irony


When analysing data or entries it is necessary to determine their expected outcome before recording them True of false and why?

It is neither true nor false.It is important that you have a view about the expected outcomes so that you can test whether or not the assumptions for the model - independent, identically distributed errors - is valid or not. While these are based on the differences between the expected and observed outcomes, it is not necessary to determine the expected outcomes beforehand. Determining their distribution is sufficient.


What was significant about the organisms Darwin observed on the Galapagos Islands?

because he discovers the differences between the variables of finches


What are two differences between the tissue types you observed?

All the tissues are shaped differently. and the cells are different colors


What are the differences you have observed between using the microscope and using your eyes?

you can see more detail when u look thru a microscope


What are within group and between group differences?

Within-group differences refer to variations that exist among individuals or data points within the same group or category. This can include differences in characteristics, behaviors, or outcomes within the group. Between-group differences refer to variations that exist between different groups or categories. This can include differences in averages, distributions, or patterns observed when comparing multiple groups.


How did your observed results compare to your expected results?

The observed results were in line with the expected results, indicating that the hypothesis was supported. This suggests that the experiment was conducted correctly and the variables were controlled effectively.


How do i find expected value in a martingale system?

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