Kathy recorded the results for a sample of 502 candies.

\begin{tabular}{|l|l|l|}
\hline
Color & Counts & Sample Proportion [tex]$(\hat{\rho})$[/tex] \\
\hline
Red & 120 & [tex]$24 \%$[/tex] \\
\hline
Yellow & 106 & [tex]$21 \%$[/tex] \\
\hline
Green & 75 & [tex]$15 \%$[/tex] \\
\hline
Orange & 111 & [tex]$22 \%$[/tex] \\
\hline
Purple & 90 & [tex]$18 \%$[/tex] \\
\hline
\end{tabular}

The candy company claims that the distribution of each color is exactly [tex]$20 \%$[/tex].

Select the observed and expected frequencies for the red candies.



Answer :

Sure, let's break this down step-by-step.

1. Determine the Observed Frequency for Red Candies:
- According to the provided data, the number of red candies Kathy recorded is 120.
- So, the observed frequency for red candies is [tex]\(120\)[/tex].

2. Calculate the Expected Frequency for Red Candies:
- The candy company claims that the distribution for each color is exactly 20%.
- Since the total count of candies in Kathy's sample is 502, we can calculate the expected number of red candies by multiplying the total candies with the expected proportion (20%).

[tex]\[ \text{Expected Frequency for Red} = \text{Total Candies} \times \text{Expected Proportion} \][/tex]

[tex]\[ \text{Expected Frequency for Red} = 502 \times 0.20 = 100.4 \][/tex]

So, the observed frequency for the red candies is [tex]\(120\)[/tex] and the expected frequency is [tex]\(100.4\)[/tex].