In this problem, we explore the effect on the standard deviation of multiplying each data value in a data set by the same constant. Consider the data set 5, 13, 6, 12, 14. (a) Use the defining formula, the computation formula, or a calculator to compute s. (Round your answer to one decimal place.) S = 7.6 (b) Multiply each data value by 8 to obtain the new data set 40, 104, 48, 96, 112. Compute s. (Round your answer to one decimal place.) = S (c) Compare the results of parts (a) and (b). In general, how does the standard deviation change if each data value is multiplied by a constant c? Multiplying each data value by the same constant c results in the standard deviation being |c| times smaller. Multiplying each data value by the same constant c results in the standard deviation increasing by c units. Multiplying each data value by the same constant c results in the standard deviation remaining the same. OMultiplying each data value by the same constant c results in the standard deviation being |c| times as large.
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.
![**Exploring the Effect on Standard Deviation**
In this problem, we will explore the effect on the standard deviation of multiplying each data value in a data set by the same constant. Consider the data set 5, 13, 6, 12, 14.
**(a)** Use the defining formula, the computation formula, or a calculator to compute \( s \). (Round your answer to one decimal place.)
\[ s = 7.6 \]
**(b)** Multiply each data value by 8 to obtain the new data set 40, 104, 48, 96, 112. Compute \( s \). (Round your answer to one decimal place.)
\[ s = \]
**(c)** Compare the results of parts (a) and (b). In general, how does the standard deviation change if each data value is multiplied by a constant \( c \)?
- \( \bigcirc \) Multiplying each data value by the same constant \( c \) results in the standard deviation being \(|c|\) times smaller.
- \( \bigcirc \) Multiplying each data value by the same constant \( c \) results in the standard deviation increasing by \( c \) units.
- \( \bigcirc \) Multiplying each data value by the same constant \( c \) results in the standard deviation remaining the same.
- \( \bigcirc \) Multiplying each data value by the same constant \( c \) results in the standard deviation being \(|c|\) times as large.
**(d)** You recorded the weekly distances you bicycled in miles and computed the standard deviation to be \( s = 3.3 \) miles. Your friend wants to know the standard deviation in kilometers. Do you need to redo all the calculations?
- \( \bigcirc \) Yes
- \( \bigcirc \) No
Given \( 1 \text{ mile} \approx 1.6 \text{ kilometers} \), what is the standard deviation in kilometers? (Enter your answer to two decimal places.)
\[ s = \text{_____} \text{ km} \]
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