A sociologist claims the probability that a person picked at random in Times Square in New York City is visiting the area is 0.69. You want to test to see if the proportion is actually less. Identify the null hypothesis. HOV : HV ? y Identify the alternative hypothesis. Identify the type I error. O You decide that the proportion of people in Times Square who are visiting is less than 0.69, when, in fact, the proportion of people who are visiting is less than 0.69. O You decide that the proportion of people in Times Square who are visiting is 0.69, when, in fact, the proportion of people who are visiting is less than 0.69. O You decide that the proportion of people in Times Square who are visiting is 0.69, when, in fact, the proportion of people who are visiting is 0.69. O You decide that the proportion of people in Times Square who are visiting is less than 0.69, when, in fact, the proportion of people who are visiting is 0.69. Identify the type II error. You decide that the proportion of people in Times Square who are visiting is less than 0.69, when, in fact, the proportion of people who are visiting is less than 0.69. O You decide that the proportion of people in Times Square who are visiting is 0.69, when, in fact, the proportion of people who are visiting is less than 0.69. O You decide that the proportion of people in Times Square who are visiting is 0.69, when, In fact, the proportion of people who are visiting is 0.69. You decide that the proportion of people in Times Square who are visiting is less than 0.69, when, In fact, the proportion of people who are visiting is 0.69