12, 18, 23, 14, 14, 16, 20, 16, 14, 16 O

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**Educational Content on Descriptive Statistics**

**Title: Understanding Descriptive Statistics through a Sample Data Set**

**Introduction:**
In this lesson, we will explore the concepts of range, mean, variance, and standard deviation using a real-life example. This example involves analyzing the ages of a random sample of shoppers at a gaming store.

**Sample Data Set:**
The ages (in years) of the shoppers are as follows:
\[ 12, 18, 23, 14, 14, 16, 20, 16, 14, 16 \]

**Step-by-Step Calculation:**

1. **Range:**
   The range is the difference between the maximum and minimum values in the data set.
   \[ \text{Range} = \text{Maximum value} - \text{Minimum value} \]
   From our data:
   \[ \text{Maximum value} = 23 \]
   \[ \text{Minimum value} = 12 \]
   \[ \text{Range} = 23 - 12 = 11 \]

   \[ \boxed{\text{Range is 11.}} \]

2. **Mean:**
   The mean (average) is calculated by summing all the values and then dividing by the number of values.
   \[ \text{Mean} = \frac{\sum \text{Ages}}{\text{Number of Ages}} \]
   Sum of Ages:
   \[ 12 + 18 + 23 + 14 + 14 + 16 + 20 + 16 + 14 + 16 = 163 \]
   Number of Ages:
   \[ 10 \]
   \[ \text{Mean} = \frac{163}{10} = 16.3 \]

   \[ \boxed{\text{Mean is 16.3 (rounded to the nearest tenth).}} \]

3. **Variance and Standard Deviation:**
   Due to space constraints, a brief explanation. Variance measures how much the ages vary from the mean. Standard deviation is the square root of variance, indicating the dispersion of the ages around the mean.

   These calculations, while not shown step-by-step here, involve subtracting the mean from each age, squaring the result, then averaging those squared differences (for variance) and taking the square root (for standard deviation).

   To simplify, you can
Transcribed Image Text:**Educational Content on Descriptive Statistics** **Title: Understanding Descriptive Statistics through a Sample Data Set** **Introduction:** In this lesson, we will explore the concepts of range, mean, variance, and standard deviation using a real-life example. This example involves analyzing the ages of a random sample of shoppers at a gaming store. **Sample Data Set:** The ages (in years) of the shoppers are as follows: \[ 12, 18, 23, 14, 14, 16, 20, 16, 14, 16 \] **Step-by-Step Calculation:** 1. **Range:** The range is the difference between the maximum and minimum values in the data set. \[ \text{Range} = \text{Maximum value} - \text{Minimum value} \] From our data: \[ \text{Maximum value} = 23 \] \[ \text{Minimum value} = 12 \] \[ \text{Range} = 23 - 12 = 11 \] \[ \boxed{\text{Range is 11.}} \] 2. **Mean:** The mean (average) is calculated by summing all the values and then dividing by the number of values. \[ \text{Mean} = \frac{\sum \text{Ages}}{\text{Number of Ages}} \] Sum of Ages: \[ 12 + 18 + 23 + 14 + 14 + 16 + 20 + 16 + 14 + 16 = 163 \] Number of Ages: \[ 10 \] \[ \text{Mean} = \frac{163}{10} = 16.3 \] \[ \boxed{\text{Mean is 16.3 (rounded to the nearest tenth).}} \] 3. **Variance and Standard Deviation:** Due to space constraints, a brief explanation. Variance measures how much the ages vary from the mean. Standard deviation is the square root of variance, indicating the dispersion of the ages around the mean. These calculations, while not shown step-by-step here, involve subtracting the mean from each age, squaring the result, then averaging those squared differences (for variance) and taking the square root (for standard deviation). To simplify, you can
Expert Solution
Step 1

Given that,

12, 18, 23, 14, 14, 16, 20, 16, 14, 16

Step 2

Statistics homework question answer, step 2, image 1

Step 3

b)

MEAN:

EXCEL,

  1. Enter the data
  2. Enter a formula “=AVERAGE(A1:A10)”
  3. Ok

The output is,

Statistics homework question answer, step 3, image 1

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