A college admissions officer takes a simple random sample of 81 entering freshman. The admissions officer fınds the average math SAT score is 530 with a standard deviation of 45. The admissions officer will like to estimate the average math SAT for all entering freshman. (Round numeric answers to two decimal places.)
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.
![### Statistical Analysis of SAT Scores
A college admissions officer conducts a study using a simple random sample of 81 entering freshmen. The goal is to estimate the average mathematics SAT score for all incoming freshmen. The sample reveals an average math SAT score of 530, with a standard deviation of 45.
**Instructions:**
- Round numeric answers to two decimal places.
**Questions:**
a) **Parameter Estimation:**
- What parameter is the admissions officer estimating?
- Options: (Dropdown menu provided for selection)
b) **Point Estimate:**
- What is the point estimate?
- Options: (Dropdown menu provided for selection)
c) **Margin of Error Calculation:**
- Calculate the margin of error for a 99% confidence interval for the true average math SAT score for incoming freshmen at the college.
- Input: (Text box provided for numeric response)
d) **Confidence Interval Interpretation:**
- Interpretation of results: We are 99% confident that the true average math SAT score for incoming freshmen at the college is between:
- Range: (Two text boxes provided for entering the lower and upper limits of the confidence interval)
This exercise helps in understanding how sample data can be used to make inferences about a population parameter with a specific level of confidence.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5f089d78-6a0b-4625-b694-74c39f3bc4a6%2F9b200029-32d1-4ec9-a009-78bba77352aa%2Fkztb9ep_processed.jpeg&w=3840&q=75)
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