Previously, 10.4% of workers had a travel time to work of more than 60 minutes. An urban economist believes that the percentage has increased since then. She randomly selects 75 workers and finds that 17 of them have a travel time to work that is more than 60 minutes. Test the economist's belief at the α=0.1 level of significance. What are the null and alternative hypotheses? H0: ▼ pp muμ alphaα ▼ greater than> less than< not equals≠ equals= nothing versus H1: ▼ pp muμ alphaα ▼ not equals≠ less than< greater than> equals= nothing (Type integers or decimals. Do not round.) Because np01−p0=nothing ▼ equals= not equals≠ less than< greater than> 10, the normal model ▼ may not may be used to approximate the P-value. (Round to one decimal place as needed.) Find the P-value. P-value=nothing (Round to three decimal places as needed.) Is there sufficient evidence to support the economist's belief? A. Yes, reject the null hypothesis. There is sufficient evidence because the P-value is less than α. B. No, reject the null hypothesis. There is not sufficient evidence because the P-value is less than α. C. Yes, do not reject the null hypothesis. There is sufficient evidence because the P-value is greater than α. D. No, do not reject the null hypothesis. There is not sufficient evidence because the P-value is greater than α.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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