Problem 1
Question
For each sample, find the sample proportion. Write it as a percent. 837 out of 1150 insurance applicants have no citations on their driving record.
Step-by-Step Solution
Verified Answer
The sample proportion is approximately 72.7%
1Step 1: Identify the variables
The 'successes' in this case are the 837 applicants who have no citations on their driving record, out of a total sample size of 1150 applicants.
2Step 2: Calculate the Sample Proportion
Apply the formula for sample proportion which is \( p = \frac{x}{n} \) where p represents the sample proportion, x represents 'successes', and n represents total number of observations. So, plug the given numbers into the formula \( p = \frac{837}{1150} \)
3Step 3: Convert to Percentage
Multiply the proportion by 100 and add the percent symbol to convert the proportion to percentage. i.e., \( p \% = p * 100 \% \)
Key Concepts
Understanding StatisticsConverting Proportions into PercentagesBasics of Data Analysis
Understanding Statistics
Statistics is a fascinating field that involves collecting, analyzing, and interpreting data. When we talk about statistics, we are often referring to a system for summarizing data so we can understand what is going on in a particular situation.
In our context, we have a group of insurance applicants, and we're interested in the proportion of those who have no citations on their driving record. This is a classic example of what statisticians call a "sample," where a subset of a population is being studied to make inferences about the whole population.
When calculating statistics, particularly something like a sample proportion, it helps us understand trends and patterns. This knowledge can then be applied to make informed decisions, like adjusting insurance rates or investigating further into the driving habits of applicants.
Converting Proportions into Percentages
Percentages are an incredibly useful way of expressing proportions because they make comparisons easier to understand and communicate. When you calculate a sample proportion, it is often expressed as a decimal. For example, if you find that the sample proportion of applicants with no citations is approximately 0.7278, it's easier to understand when expressed as a percentage.
The process involves multiplying the decimal proportion by 100. So in our case, you would do 0.7278 times 100, which gives you 72.78%.
Using percentages is a common practice in data analysis because:
- They are more intuitive for the general public.
- They allow for easy comparison between different samples or populations.
- They simplify complex statistics into more comprehensible figures.
Basics of Data Analysis
Data Analysis is all about examining datasets to draw conclusions about the information they contain. This involves several stages, starting from collecting data, cleaning it, processing it, and then interpreting the results.
In the example of insurance applicants, we begin with the basic data we collected, which is the number of applicants with no citations. By calculating the sample proportion, we have processed this data from raw numbers into something meaningful.
Key steps in data analysis include:
- **Data Collection**: Gathering necessary data or information.
- **Data Cleaning**: Removing any errors or inconsistencies present in the data.
- **Data Processing**: Applying formulas and methods to refine the data, like calculating proportions.
- **Data Interpretation**: Using the results to make informed decisions or conclusions.
Other exercises in this chapter
Problem 1
For each situation, describe a trial and a success. Then design and run a simulation to find the probability. On a true-or-false test, you guess the answers to
View solution Problem 1
Find the mean, median, and mode of each set of values. $$ \begin{array}{llllllllll}{5} & {9} & {1} & {2} & {7} & {3} & {1} & {8} & {8} & {1} & {3}\end{array} $$
View solution Problem 2
For each situation, describe a trial and a success. Then design and run a simulation to find the probability. A poll shows that 40\(\%\) of the voters in a city
View solution Problem 2
Find the range and the interquartile range of each set of values. $$ \begin{array}{llllllll}{56} & {78} & {125} & {34} & {67} & {91} & {20}\end{array} $$
View solution