24. What is the sample standard deviation from the Range Frequency Table from Excel? a. 15.00 b. 16.61 c. 15.65 d. 14.38 e. 14.70 25. Why are these values different? a. Because Excel makes errors b. Because when going from exact values to a range table, the values become approximate c. Because the spreadsheet calculates the values in different ways d. Because the variance is calculated differently
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.
24. What is the sample standard deviation from the
a. 15.00
b. 16.61
c. 15.65
d. 14.38
e. 14.70
25. Why are these values different?
a. Because Excel makes errors
b. Because when going from exact values to a range table, the values become approximate
c. Because the spreadsheet calculates the values in different ways
d. Because the variance is calculated differently
We enter the given data in Excel sheet then sort it in ascending order(here data is already in ascending order) and count the Frequencies for every class Inteval then write it down in respective rows.
To find standard deviation, first we find Variance by using =var() command in excel.
We know , standard deviation=√Variance
For grouped data, we use the following formula to calculate standard deviation,
Standard deviation=√(summation fiXi2)/(summation fi) - ((summation fiXi)/(summation fi))^2)
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