The answer to whether the data is convincing is; Yes, it is true that the data is convincing
<h3>How to create hypothesis?</h3>
We are given;
Population Proportion; p = 17.6% = 0.176
Sample size; n = 300
Sample proportion; p^ = 45/300 = 0.15 = 15%
Formula for standard deviation here is;
σ = √(pq/n)
σ = √(p(1 - p)/n)
σ = √(0.15 * 0.85/300)
σ = 0.0206
Formula for z-score is;
z = (p^ - p)/σ
z = (0.176 - 0.15)/0.0206
z = 1
From online p-value from z-score at significance level of 0.05, we have;
p = 0.1587
The p-value is greater than the significance value and so we fail to reject the null hypothesis and conclude that the proportion of underemployed residents in Thicksburg is lower than elsewhere in the country.
Read more about Hypothesis at; brainly.com/question/15980493
Answer:
HERE!
Explanation:
As the title of the Treatise proclaims, Hume’s subjectis human nature. He summarizes his project in its subtitle: “anattempt to introduce the experimental method into moralsubjects”. In his day, “moral” meant anythingconcerned with human nature, not just ethics, as he makes clear at thebeginning of the first Enquiry, where he defines “moralphilosop...
Answer:
a. <em>Independent - </em>age; <em>Dependent - </em>intelligence
b. Cross-sectional
Explanation:
Scientific experiments label the variables that they employ in two ways: dependent and independent. Independent variables are those that are changed or manipulated by the researchers. In this case, the researchers are exercising control over the variable of age by selecting a particular type of people. This also means that the researchers believe this variable to have a direct effect on the dependent variable.
On the other hand, dependent variable refers to the variable being tested and measured. It receives this name because the variable is "dependent" on the independent variable. In this case, intelligence is the variable that is believed to depend on age.
Finally, this is also an example of a cross-sectional study. Cross-sectional studies interview different samples of people at a particular point in time. This allows us to have a snapshot of a group at a particular moment. This is different from longitudinal studies, which follow the same sample of people over a long period of time.
Start with multiplication in parentheses. 5(2) = 10 and then add and subtract to get 12 in the parentheses. then multiply by 4 to get 48
