Are you an impulse shopper? A survey of 600 grocery shoppers indicated that 62% of males and 51% of females make an impulse purchase every time they shop. Assume that the survey consisted of 300 males and 300 females. a. At the 0.05 level of significance, is there evidence of a difference in the proportion of males and females who make an impulse purchase every time they shop? b. Find the p-value and interpret its meaning. a. State the null and alternative hypotheses, where a, is the population proportion of males who make an impulse purchase every time they shop and n, is the population proportion of females who make an impulse purchase every time they shop. Choose the correct answer below. O B. Ho: Tq # T2 H1:Tq > T2 O A. Ho: T1 = T2 O C. Ho: T1 #T2 H1: Tq T2 O F. Ho: 11 # T2 O E. Ho: T1 = R2 H1: Tq # T2 H1:Tq =12 Determine the value of the test statistic. ZSTAT = (Type an integer or a decimal. Round to two decimal places as needed.) Determine the critical value(s) for this test of hypothesis. The critical value(s) is (are) (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.)
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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