The number of grams of fiber per serving for a random sample of three different kinds of food is listed below Breakfast Fruits Vegetables cereals 3 5.5 10 4 1.5 6. 4.4 3.5 1.6 2.7 10 3.8 2.5 4.5 6.5 6. 2.8 4. 8. 3. Compute the test value. Is there a sufficient evidence af the 0 05 lovel of significance to conclude that there is a difference in mean fiber content among breakfast cereals, fruits, and vegetables? O A) test value: 4.932 Conclusion: Yes, there is a significant difference in mean fiber content among breakfast cereals, fruits and vegetables at the 5% level of significance. B) test value: 4.932 Conclusion Yes, there is no significant difference in mean fiber content among breakfast coreals, fruits and vegetables at the 5% level of significance. O C) test value: 1.991 Conclusion: There is a significant difference in mean fiber content among breakfast cereals, fruits and vegetables at the 5% level of significance. O D) test value: 1.991 Conclusion: There is no significant difference in mean fiber content among breakfast cereals, fruits and vegetables at the 5% level of significance. 4.
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.
Trending now
This is a popular solution!
Step by step
Solved in 5 steps with 3 images