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rjkz [21]
3 years ago
13

Suppose a company claims that its jars of pickles weigh 68 ounces on average. It took many large samples, and about half the tim

e, the mean weight of the sample was outside the 95% confidence interval. Which of the following would be a reasonable conclusion? A. The company's jars of pickles weigh 68 ounces on average. B. The company's jars of pickles weigh fewer than 68 ounces on average. C. The company's jars of pickles weigh more than 68 ounces on average. D. The company's jars of pickles do not weigh 68 ounces on average.
Mathematics
1 answer:
Annette [7]3 years ago
4 0

Step-by-step explanation:

The company's jars of pickles weigh fewer than 68 ounces on average. C. The company's jars of pickles weigh more than 68 ounces on average. D. The company's jars of pickles do not weigh 68 ounces on average.

This is the Answer

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The above situation can be represented through Binomial distribution;

P(X=r) = \binom{n}{r}p^{r} (1-p)^{n-r} ; x = 0,1,2,3,.....

where, n = number of trials (samples) taken = 14 citizens

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        p = probability of success which in our question is % of the community

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<em>LET X = Number of citizens who favored building of the health center.</em>

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