A fair coin should land showing tails with a relative frequency of 50% in a long series of flips. Felicia read that spinning-rather than flipping-a US penny on a flat surface is not fair, and that spinning a penny

makes it more likely to land showing tails. She spun her own penny 100 times to test this, and the penny

landed showing tails in 60% of the spins.

Let p represent the proportion of spins that this penny would land showing tails.

Complete question is;

A fair coin should land showing tails with a relative frequency of 50% in a long series of flips. Felicia read

that spinning-rather than flipping-a US penny on a flat surface is not fair, and that spinning a penny

makes it more likely to land showing tails. She spun her own penny 100 times to test this, and the penny

landed showing tails in 60% of the spins.

Let p represent the proportion of spins that this penny would land showing tails.

What are appropriate hypotheses for Connor's significance test?

A. H_0 : p = 50% H_1 : p > 60%

B. H_0: p = 50% H_1: p > 50%

C. H_0: p = 50% H_1: p < 50%

D. H_0 : p = 60% H_1 : p < 60%

Option B is correct

Step-by-step explanation:

From the question it is clear that;

The population proportion is 50% because it is not associated with any sample size.

However, the sample size is 100 and the sample proportion from this 100 is 60%.

But we don't define our hypothesis based on the sample proportion.

Now we want to find the probability that spinning a penny makes it more likely to land showing tails.

Thus we define the hypothesis as;

Null hypothesis; H0 : p=50%

Alternative hypothesis; H1 : p>50%

(0,,,0)

step-by-step explanation:

the table of x and y values is shown in the attached pic(part of question)

we have to decide according that graph

given points are (0, 0) (–1, 0), (2, 0)

when we graph these points on graph they show an increasing line as shown in the attached pic

answer. d.289 hope that