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
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<u>Step 1:
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: p = 0.5
: p < 0.5 (Left tailed test)
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<u>Step 2:
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The critical vale is = 2.0537
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<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.
Explanation:
probability and impact metrix is a tool for the project team iad in prioritizing risks.
Answer:
The correct answer is letter "B": Order Qualifier.
Explanation:
An Order Qualifier represents the minimum features a good or service must meet so consumers can think about purchasing them. Variables that could fall into this category are price, convenience or the product's reputation. If the good or service accomplishes one of those characteristics and is of preference of the consumers, then the firm has an order winner.
Answer and Explanation:
The computation is shown below:
TC = 25 + q^2
Now
Marginal cost is
= dtc ÷ dQ
= 2q
Average variable cost (AVC) = q
We Assuming perfect competition so there is a free entry so no profits
Therefore
ATC = P
ATC = TC ÷ q
= q + 25 ÷ q
Now
MC = MR = P = ATC
2q = q + 25 ÷ q
q = 25 ÷ q
q^2 = 25
So, Quantity per firm = q = 5
Now
P = MC = MR = ATC
= q + 25 ÷ q
= 5 + 25 ÷ 5
= 5 + 5
= 10
hence, equilibrium price is 10
Now
Q = 35 - P
= 35 – 10
= 25
Hence, Market quantity (Q) = 25
And, the number of firms i.e n
N = Q ÷ q
= 25 ÷ 5
= 5