Answer: does it get their attention? does it work?
Explanation:
you want to ask those questions. If you are walking through a store and something catches your attention you automatically want to look at it.
it definitely has to work it order to sell it. that is my answer
The names of all the students in a class are listed on separate pieces of paper. The teacher places all the boys' names in one hat, all the girls' names in another hat and mixes them thoroughly before reaching in to draw out five names from each hat. The teacher is using <u>Stratified random sampling Method</u>
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Explanation:
Stratified random sampling is a technique of sampling in which the population under consideration can be further sub-divided into smaller sub-group known as Strata.
In <u>stratified random sampling or stratification</u>, the strata are formed on the basis of the characteristics or attributes such as income,age group which is shared by the members of the group.
<u>For example: We </u> might divide a sample of adults into further subgroups on the basis of the age, like 18–30, 30–39, 40–49, 50–59, and 60 and above.
Thus,we can say that the method used by the teacher is that of the <u>Stratified random sampling </u>
<span>Pilgrims believed that relics could
"heal body and soul".
</span>
A relic typically comprises of the physical remains of a holy
person or the belongings of the holy person or revered individual saved for
reasons for adoration as a substantial remembrance. For example in the ancient
history the body of the incredible Eurystheus was expected to shield Athens
from adversary assault. Or in this case Pilgrims believed it as a source of
healing power for their body and soul.
The One-Way ANOVA test represents the best choice if one wants to compare the average number of adjustments made by service representatives at five different locations within a region.
The null hypothesis, which claims that samples from populations with the same mean values are used to create all of the groups' samples, is tested by the ANOVA.
The population variance is estimated twice to accomplish this. Numerous assumptions underlie these estimations. An F-statistic is generated by the ANOVA and represents the proportion of variation within the samples to variance estimated among the means.
According to the central limit theorem, the variance of the group means should be less than the variance of the samples if the group means are taken from populations with similar mean values. A larger ratio suggests that samples were taken from populations with different mean values, which is implied by a higher ratio.
To learn more about the One-Way ANOVA test refer to:
brainly.com/question/23638404
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