What would it mean to a hypothesis test if we increased or decreased the p-value? Why might someone increase or decrease the p-value?

This is part 'd' that isn't included in the picture. (d)Based on your answer to part (c), choose what can be concluded, at the 0.05 level of significance, about your claim.     Since the p-value is less than (or equal to) the level of significance, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92% .   Since the p-value is less than (or equal to) the level of significance, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92% .   Since the p-value is greater than the level of significance, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is…

A sociologist wants to study what proportion of people have significant relationship problems due to financial stress. A previous study she is aware of estimated it to be 32% but she believes this has increased in modern times. She collects a random sample of 150 people and 63 of them report relationship problems due to financial stress. Conduct an appropriate hypothesis test in questions #22-#25. Compute the Z-score for this hypothesis test and round to two decimal places. z = 1.58 z = 2.06 z = 2.63 z = 0.84

Can you help me determine the test statistic, the P-value, and the conclusion for this hypothesis test?