The _(1)_ are the data for a Chi-Square

Petrolovujhm

Petrolovujhm

Answered question

2022-04-01

The _(1)_ are the data for a Chi-Square test, and you get them by simply counting. The _(2)_ are something you get from either past research, or an assumption that all categories are equal, and they go in the null hypothesis. The _(3)_ are something you get by multiplying sample size, n, by expected proportions.
Group of answer choices:
(1) observed frequencies, fo (2) expected proportions (3) expected frequencies, fe
(1) expected frequencies, fe (2) expected proportions (3) observed frequencies, fo
(1) expected proportions (2) observed frequencies, fo (3) expected frequencies, fe
(1) expected frequencies, fe (2) observed frequencies, fo (3) expected proportions

Answer & Explanation

Chelsea Chen

Chelsea Chen

Beginner2022-04-02Added 5 answers

The study is about the chi-square test
The chi-square is a non-parametric test which is used for comparing the categorical variables. The chi-square goodness of fit test helps in determining how the observed distribution fits the expected distribution. It is used for comparing the observed data with the expected data.
The observed frequencies, fo are the data for a Chi-Square test, and you get them by simply counting. The expected proportions are something you get from either past research, or an assumption that all categories are equal, and they go in the null hypothesis. The expected frequencies, fe are something you get by multiplying sample size, n, by expected proportions.
Correct Answers: (1) observed frequencies, fo (2) expected proportions (3) expected frequencies, fe.

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