The chi-square test is appropriate to analyze the primary efficacy endpoint in this study
The chi-square test is a valid statistical hypothesis test when the test statistic is chi-square distributed under the null hypothesis. Specifically, Pearson's chi-square test and its variants. Used to compare observed and expected results. The purpose of this test is to determine whether differences between observed and expected data are due to chance or to relationships between the variables being examined.
A chi-square formula is a statistical formula for comparing two or more sets of statistical data. It is used for data consisting of variables that span different categories and is denoted by χ2. The chi-square formula is χ2 = ∑(Oi – Ei)2/Ei, where Oi = observed (actual) and Ei = expected.
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Answer: Because each leaf will not have a single digit.
Step-by-step explanation:
Answer:
A graphing calculator is more accurate than graphing by hand. If the slope and/or y-intercept is a fraction or decimal, it is more difficult to accurately graph by hand.
Step-by-step explanation:
Answer:
15
Step-by-step explanation:
because 35 divided by 5 is 7 and 15 divided by 15 is 3 making 7:3
hope it helps
Answer:
The second band
Step-by-step explanation:
50+20=70
20+25=45