cording to a job website, each job opening on average attracted 251 résumés in 2016. The job market improved in 2017 compared to 2016, which means that more people will likely be switching jobs but also fewer nemployed workers remain in the job market. To find out which trend is stronger, a random sample of 20 employers in a region was taken. Each employer reported how many résumés they received in 2017 for each b opening. Their answers are shown in the accompanying table. Using a = 0.10, complete parts a through d. Click the icon to view the data on résumés received. a. State the null and alternative hypotheses. Determine the null hypothesis, Ho, and the alternative hypothesis, H,. i Job Opening Data Hn: H = 251 * 251 210 208 (Type integers or decimals. Do not round.) 219 251 b. Does this sample provide enough evidence to suggest that the number of résumés that were received in 2017 has 207 185 270 220 Identify the critical value. 283 225 205 232 217 206 (Round to two decimal places as needed.) 235 247 Determine the test statistic. 194 195 237 220 (Round to two decimal places as needed.) Print Done State the conclusion. Ho. There (Type an integer or a decimal. Do not round.) V evidence to conclude that the résumés that were received in 2017 Y résumés. Click to select your answer(s). Save for Later MacBook ProO
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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