Answer:
P-value is greater than the significance level, we fail to reject null hypothesis.
Explanation:
Here,
Sample size = n = 120
Sample proportion = p = 0.6500
Population Proportion = 
= 0.5
Level of significance = α = 0.02
<u />
<u>Step 1:
</u>
: p = 0.5
: p < 0.5 (Left tailed test)
<u></u>
<u>Step 2:
</u>
The critical vale is = 2.0537
<u></u>
<u>Step 3: </u>
The test statistic is,
z = 
<u>Step 5:
</u>
Conclusion using critical value: Since the test statistic value is greater than the critical value, we fail to reject null hypothesis.
<u>Step 6: </u>
Conclusion using P-value: Since the P-value is greater than the significance level, we fail to reject the null hypothesis.
Answer:
B) raise costs and increase demand for its product
Explanation:
A monopolistic competition is when there are many firms operating in an industry. The firms sell differentiated goods and set the market price for their goods and services.
Monopolistic competition engage in advertisement to increase the awareness for their goods.
If advertising is successful , it increases the demand for their goods and services.
Advertising also increases the cost of production.
I hope my answer helps you.
<span>The original cost of protein bar = $2.50
The increased cost of protein bar = $2.80
Therefore, the increase in price of the protein bar = $2.80-$2.50
=$0.30
percentage increase = (Difference in price / Original price) x 100
=(0.30/2.50)x100
=(3/25)x100
=3 x 4
=12%</span>
Answer:
d. Non-state (non-governmental) actors, focused on profit
Explanation:
Non State actor can literally be defined as an organization that are not funded by the government.
Multinational Corporations (MNCs) and Transnational companies (TNCs) are organizations that have companies in several countries and are business oriented focused on making profit.
Therefore, Multinational Corporations (MNCs, sometimes called TNCs) are Non-state (non-governmental) actors, focused on profit
<u>".30"</u> is one most likely to find between hours spent studying each week and cumulative gpa among college students.
The correlation coefficient is a statistical measure that figures the quality of the connection between the relative developments of the two factors. The scope of qualities for the relationship coefficient limited by 1.0 on a flat out esteem premise or between - 1.0 to 1.0. In the event that the relationship coefficient is more prominent than 1.0 or not exactly - 1.0, the connection estimation is inaccurate. A connection of - 1.0 demonstrates an immaculate negative correlation, while a connection of 1.0 demonstrates a flawless positive correlation. A connection of 0.0 shows zero or no connection between the development of the two factors.
