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irina [24]
1 year ago
15

If everyone in the population has an equal chance of inclusion in a study, then one would say that the study used a ___________

sampling technique for the study. a. random b. quota c. convenience d. availability please select the best answer from the choices provided a b c d
SAT
1 answer:
kakasveta [241]1 year ago
7 0

If everyone in the population has an equal chance of inclusion in a study, then one would say that the study used a Random sampling technique for the study. (Option A.)

The way in which we select a sample of individuals to be research participants is critical. Random sampling makes sure of the population which has to be random and need not be pre determined . The procedure we plan to implement will determine if we are biased or not , if the people know each other or not etc.

To read more about Sample techniques here brainly.com/question/16813351

#SPJ4

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3 0
2 years ago
Which of the following scenarios are potential candidates for use of the ANOVA F-test? Check all that apply.
m_a_m_a [10]

Hello. You forgot to enter the answer options. The options are:

A) We compare homework hours for male and female high schools students.

B) We compare job status (have a job: yes, no) for male and female high school students.

C) We compare hours working at a job for high school student athletes in three sports (basketball, track and soccer.)

D) We compare television viewing hours for high school students with and without a curfew.

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C) We compare hours working at a job for high school student athletes in three sports (basketball, track and soccer.)

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The ANOVA F-test is a type of analysis of variance used in systems that wish to compare the average of three, or more, different groups. With that, we can affirm that the letter B is the correct option, since it is the only option that presents the comparison between three groups.

The ANOVA F-test is used to compare the average between the three groups and determine if there is a statistical equality between them, or if some of them are above or below the average, showing that the groups are not statistically similar.

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