Answer:
Step-by-step explanation:
The correct answer is d. the chi-squaretest compares the difference between expected and observed frequency counts.
The chi-square test is a statistical test used to analyze the distribution of categorical data. It compares the observed frequency counts of a categorical variable with the expected frequency counts.
The expected frequency counts are calculated based on a null hypothesis, which assumes that there is no significant difference between the observed and expected frequencies.
The test statistic for the chi-square test is calculated as the sum of the squared differences between the observed and expected frequency counts, divided by the expected frequency counts.
The resulting value is compared to a chi-square distribution with a certain number of degrees of freedom to determine the p-value and assess the significance of the observed difference.
Therefore, options a, b, and c are incorrect because they describe other types of statistical tests that are used to compare means or variances between groups, while the chi-square test is specifically designed for analyzing categorical data.
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Answer:
Step-by-step explanation:
Given:
To find:
Solution:
From the image,
Put
Therefore,
2^5(13 +12)
Answer:
800
Step-by-step explanation:
You do 2 to the 5 power, which equals 32. Then add 13 and 12 to get 25. Then multiply 32 and 25 to get 800
Answer: Answer;-
0.006798x3⋅10−2+x
Step-by-step explanation: