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In: Statistics and Probability

In an analyst's test of the value of a market brand, the null hypothesis was that...

In an analyst's test of the value of a market brand, the null hypothesis was that the brand would not improve the population's perceived value of the product. The analyst would reject the null hypothesis if the brand improved the perceived value of the product for at least 58 of the 100 people in the analyst's sample. After the test, the null hypothesis was rejected because the brand improved the perceived value of the product for 60 subjects in a sample of 100 subjects.
In this test, the p-value is...

58
60
the probability that 58 people in the sample will perceive value from the brand if the null hypothesis is nevertheless true.
the probability that 60 people in the sample will perceive value from the brand if the null hypothesis is nevertheless true.

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In an analyst's test of the value of a market brand, the null hypothesis was that the brand would not improve the population's perceived value of the product. The analyst would reject the null hypothesis if the brand improved the perceived value of the product for at least 58 of the 100 people in the analyst's sample. After the test, the null hypothesis was rejected because the brand improved the perceived value of the product for 60 subjects in a sample of 100 subjects.
In this test, the p-value is...

58

60

the probability that 58 people in the sample will perceive value from the brand if the null hypothesis is nevertheless true.

Answer: the probability that 60 people in the sample will perceive value from the brand if the null hypothesis is nevertheless true.

Note:

P value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis. In our sample , there are 60 people improved the perceived value of the product in a sample of 100 subjects.

orchestra answered 2 years ago
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