<span>((Current value - original value) / original value) x 100 = rate of return
</span><span>(( 1.65402- 1.62) / 0.157) x 100 = Original Value
</span>Original Value = $ 21.66
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</span>
Answer:
loss at the short run
Explanation:
marginal cost is higher than the marginal revenue
Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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Answer:
Quantitative
Explanation:
The reason is that a good research report includes qualitative and quantitative research. Qualitative research is non numerical data and it give information which helps in meaning making whereas the quantitative research is a research in which the researcher tries to find the numerical relation using quantifiable data, which is investigated through number of means which includes use of mathematics, principles, etc techniques to extract data. So the qualitative research is done here and the only thing the company requires is quantitative data.
