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Importance of chi-square test?
It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
When does one do a chi square test?
This is concerned with frequency. Can be used to test whether the observed frequencies in a particular case differ significantly from those which would be expected in the null hypothesis. source: analysis related lectures
What is the plural of frequency?
The plural of frequency is frequencies. As in "radio waves travel on different frequencies".
How do you calculate absolute frequencies?
Absolute frequencies are calculated by first identifying intervals based on your data and then identifying the number of values within your data set that lie within these interval. Relative frequencies divide the absolute frequencues by the number of values in the set. It is a good practice to provide the absolute frequencies, perhaps in a bar chart of relative frequencies as a number above each bar.
If the difference between the observed and expected frequencies if the critical value is 9.488 and the computed value is 6.079 do you reject or do not reject the null hypothesis?
Not enough information - nature of step progression towards critical value has to be specified (sample size, linear vs. logarithmic vs. whatever, etc.).
Which of the following accurately describes the expected frequencies for a chi-square test?
The maximum likelihood estimate under the null hypothesis gives the best estimate for expected frequencies.
How would you determine the expected frequencies for a chi-square goodness of fit test?
You first decide on a null hypothesis. Expected frequencies are calculated on the basis of the null hypothesis, that is, assuming that the null hypothesis is true.
What is the term for the distance between two sound frequencies or pitches?
The term for the distance between two sound frequencies or pitches is called "interval."
Are fundamental frequencies and overtones also called resonance frequencies?
No, fundamental frequencies and overtones are not typically referred to as resonance frequencies. Resonance frequencies are specific frequencies at which an object naturally vibrates or oscillates when subjected to external forces. Fundamental frequencies are the lowest frequency at which an object can vibrate, while overtones are multiples of the fundamental frequency.
What is the medical term meaning not expected?
Adventitious is one medical term meaning not expected.
What is the term for the blending overlaping sound wave frequencies through interference?
Sound quality is the term for the bending of overlapping sound wave frequencies through interference.
What do you mean by expected frequencies in chi square test?
Expected frequencies are used in a chi-squared "goodness-of-fit" test. there is a hypothesis that is being tested and, under that hypothesis, the random variable would have a certain distribution. The expected frequency for a "cell" is the number of observations that you would expect to find in that cell if the hypothesis were true.
How to solve a Hardy-Weinberg problem?
To solve a Hardy-Weinberg problem, you need to use the formula p2 2pq q2 1, where p and q represent the frequencies of two alleles in a population. First, determine the allele frequencies using the given information. Then, use the formula to calculate the expected genotype frequencies. Compare the expected and observed genotype frequencies to determine if the population is in Hardy-Weinberg equilibrium.
Are sound waves with frequencies higher than 20 000 Hz referred to as subsonic waves?
No, sound waves with frequencies higher than 20,000 Hz are referred to as ultrasonic waves, not subsonic waves. Subsonic waves are sound waves with frequencies lower than 20 Hz.
Sound waves with frequencies higher than 20000 Hz are referred to as subsonic waves?
for this answer it's false i made a 90 on this test :)
If the chi-square is very large what does it mean?
The null hypothesis in a chi-square goodness-of-fit test states that the sample of observed frequencies supports the claim about the expected frequencies. So the bigger the the calculated chi-square value is, the more likely the sample does not conform the expected frequencies, and therefore you would reject the null hypothesis. So the short answer is, REJECT!
The way you are expected to act by others?
The way you are expected to act by others is referred to as etiquette or manners.
