Testing: Ho:µ = 42.91 H1:µ + 42.91 Your sample consists of 50 subjects, with a mean of 43.1 and standard deviation of 2.78. Calculate the test statistic, rounded to 2 decimal places. t = Submit Question
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.
![**Hypothesis Testing for Means:**
**Testing:**
- Null Hypothesis (\(H_0\)): \(\mu = 42.91\)
- Alternative Hypothesis (\(H_1\)): \(\mu \neq 42.91\)
Your sample consists of 50 subjects, with a mean of 43.1 and a standard deviation of 2.78.
**Calculate the test statistic, rounded to 2 decimal places.**
\(t =\) [input field for calculation]
**Diagram:**
There is a graph of a normal distribution curve, with a shaded area in red at both tails, illustrating the rejection regions for a two-tailed test.
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