The figure below shows a randomization distribution for testing 0 : =0.6 vs : >0.6 . Use the distribution to decide which value is closer to the p-value for the observed sample proportion. Describe the nature of the test and determine whether the p-value for =0.55 is closer to 0.10 or to 0.50. A histogram. The histogram has a vertical axis titled frequency that runs from zero to seventy-five in increments of ten, and a horizontal axis titled Sample proportions that runs from zero point one to one in increments of zero point one. There are twenty bars evenly distributed across the horizontal axis, one for each value. The bars from left to right reach the following values: five, five, ten, fiften, twenty, twenty five, thirty, forty-five, forty, fifty, sixty, seventy, sixty-five, sixty, seventy-five, sixty-five, forty-five, thirty-three, twenty-five, and five. All values are approximate