Week 8 Assignment Part II-Joseph Grovogui 10. Use technology to help you test the claim about the population mean, u. at the given level of significance, a, usng ba given sample statistics. Assume the population is normally distributed. Claim: u> 1240; a=0.08; o =206.53. Sample statistics: x= 1259,91, n= 250 Identify the null and alternative hypotheses. Choose the correct answer below. OA Ho: >1240 Ha:uS 1240 O B. Ho: u2 1259.91 Ha:u< 1259.91 O C. Ho: u>1259.91 Ha:us 1259.91 OD. Ho: µs 1240 Ha:u> 1240 O E. Ho: us1259.91 OF. Ho: u2 1240 Ha:H<1240 Ha: > 1259.91 Calculate the standardized test statistic. The standardized test statistic is (Round to two decimal places as needed.) Determine the P-value. P = (Round to three decimal places as needed.) Determine the outcome and conclusion of the test. (1) Ho- At the 8% significance level, there (2) enough evidence to (3) the claim. (2) O is not O is (3) O reject (1) O Fail to reject Reject support
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.
The normal distribution is the most useful theoretical distribution for continuous variables.
For the normal distribution,
Mean = μ and
Standard deviation = σ, symbolically we write.
Given,
Population mean = μ = 1240
Population standard deviation = σ = 206.53
Sample mean = = 1259.91
Sample size = n = 250
Level of significance = = 0.08
Here we use one -sample z test because sample size n = 250 > 30
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