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mariarad [96]
3 years ago
6

Nicolas surveyed a random sample of 80 employees at a software company. He found that 29% of the employees surveyed ride a bike

to work. Nicolas wanted to know if it is plausible that 40% of the entire population of employees rides a bike to work.
Nicolas performed 100 trials of a simulation. Each trial simulated a sample of 80 employees under the assumption that 40% of the population rides a bike to work. The dot plot shows the results of the simulations.

What is the best conclusion for Nicolas to make based on the data?


a)It is not plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is unlikely.

b)It is not plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is likely.

c)It is plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is unlikely.

d)It is plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is likely.

Mathematics
2 answers:
Nana76 [90]3 years ago
6 0

Answer:

Option C

Step-by-step explanation:

Point diagrams show the frequency of occurrence of a series of events after a certain number of trials. In this case, the trials were 100. During each trial it would have been possible to have proportions of {0.24, 0.25, 0.26, 0.27, 0.28 ..... 0.56}

The events with the highest probability of occurrence are those with the highest number of points in the diagram.

Note that the distribution of the points resembles a bell, with a peak (greater clustering of points) between 0.35 and 0.41.

This indicates that it is more likely that the proportion of employees who go to work in bicycles will be between 0.35 and 0.41.

Then the diagram seems to indicate that a proportion less than 0.30 or greater than 0.45 is unlikely (they have less number of points)

Based on this analysis, it can be concluded that the correct option is c)

c) It is plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is unlikely.

Papessa [141]3 years ago
5 0

Answer:

It is not plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is unlikely.

Step-by-step explanation:

I took the test and sacrificed my grade!

hope this helps ya'll

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Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

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What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

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