Asked by isabella Gomez on Mar 10, 2024

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In a goodness-of-fit test, suppose that a sample showed that the observed frequency In a goodness-of-fit test, suppose that a sample showed that the observed frequency   and expected frequency   were equal for each cell i. Then, the null hypothesis is: A)  rejected at0.05 but is not rejected at0.025 B)  not rejected at0.05 but is rejected at0.025 C)  rejected at any level D)  not rejected at anylevel E)  not rejected at> 0.05 and expected frequency In a goodness-of-fit test, suppose that a sample showed that the observed frequency   and expected frequency   were equal for each cell i. Then, the null hypothesis is: A)  rejected at0.05 but is not rejected at0.025 B)  not rejected at0.05 but is rejected at0.025 C)  rejected at any level D)  not rejected at anylevel E)  not rejected at> 0.05 were equal for each cell i. Then, the null hypothesis is:

A) rejected at0.05 but is not rejected at0.025
B) not rejected at0.05 but is rejected at0.025
C) rejected at any level
D) not rejected at anylevel
E) not rejected at> 0.05

Null Hypothesis

A hypothesis used in statistical testing that assumes no significant difference or effect exists between certain states or variables.

Observed Frequency

The number of times a particular value or category of data occurs in a set of data, used in the analysis of categorical variables.

Expected Frequency

The theoretically calculated frequency of an event or outcome based on the probabilities in a statistical experiment, often compared to observed frequencies in chi-squared tests.

  • Distinguish between different types of hypotheses (null and alternative) and their rejection or acceptance.
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JD
Jayla Dozier

Mar 10, 2024

Final Answer :
D
Explanation :
If the observed frequency and expected frequency are equal for each cell, then it means that the sample fits the expected distribution well. Therefore, the null hypothesis (that the distribution fits the expected distribution) is not rejected. This conclusion holds at any level of significance.