A golf association requires that golf balls have a diameter that is 1.68 inches. To determine if golf balls conform to the standard, a random sample of golf balls was selected. Their diameters are shown in the accompanying data table. Do the golf balls conform to the standards? Use the a = 0.05 level of significance. Click the icon to view the data table. First determine the appropriate hypotheses. Ho: H 1.68 1.68 H1: (Type integers or decimals. Do not round.) Find the test statistic. (Round to two decimal places as needed.) Find the P-value. (Round to three decimal places as needed.) What can be concluded from the hypothesis test? O A. Do not reject Hn. There is not sufficient evidence to conclude that the golf balls do not conform to the association's standards at the a = 0.05 level of significance. O B. Do not reject Hn. There is sufficient evidence to conclude that the golf balls do not conform to the association's standards at the a = 0.05 level of significance. OC. Reject Ho. There is not sufficient evidence to conclude that the golf balls do not conform to the association's standards at the a = 0.05 level of significance. O D. Reject Hn. There is sufficient evidence to conclude that the golf balls do not conform to the association's standards at the a = 0.05 level of significance. 1: Data Table Golf Ball Diameter (inches) 1.682 1.677 1.681 1.686 1.677 1.686 1.684 1.684 1.673 1.685 1.682 1.675
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.
How do I find the Standard Deviation and Sample
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