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:
The growth of the real GDP per capita was 7.18%
Explanation:
It is important to establish that:
Future Value = Present Value × ((1 + r)^t), given that <em>r</em> is the <em>interest rate</em> and <em>t</em> is the <em>time period</em>
Real GDP per worker increased from $40,000 to $320,000 in 30 years
Therefore, we have;
320000 = 40000*(1+r)^30
(1 + r)^30 = 8
1 + r = 8^1/30
1 + r = 1.0718
r = 0.0718 = 7.18%
Answer:
A. includes a chronological summary of all transactions posted to individual patient ledgers/accounts on a specific day
I think the reason why the normality of these two proportions is assumed because of n(3.13159) greater than or equal to 10 and n(1 - 3.13159) is greater than or equal to 10. Therefore, for each sample in this research, it must be taken separately.
need to solve the equation 150=-6x2+100x-180. you can subtract 150 from both sides and use the quadratic formula to find x=4.53 and 12.13. this means that if the store sells soccer balls for 4.53$ or 12.13$ it will earn a daily profit of 150$