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The number of adults in the sample who have more debt than savings is denoted by the letter D.

Sample size $=100$

Percentage of adults in the United States who have more debt than savings$=24\%$

The following is the concept applied:

$10\%$condition.

$\mathrm{n}<0.10\mathrm{N}$

According to the rule, if the sample represents less than $10\%$ of the population, it is safe to assume that the trials are independent and may be modelled using the binomial distribution, regardless of the without replacement sample.

The sample size $(=100)$ is much less than $10\%$ of all people in the United States.

Furthermore, each adult's study is conducted independently. The financial situation of one adult has no bearing on the financial situation of another adult.

$\text{So,}D~Bin(100,0.24)$

Hence, A binomial distribution can be used to model D.

The number of adults in the sample who have more debt than savings is denoted by the letter D.

Sample size $=100$

Percentage of adults in the United States who have more debt than savings $=24\%$

Concept applied:

$10\%$condition

$\mathrm{n}<0.10\mathrm{N}$

Consider,

Using TI- 83 plus

a) First we have to Click on $2^{nd}$ and then click on Dist.

b) Next Go to binomcdf with $鈫�$ key.

c) Then Hit Enter

d) Type$100,0.24,29$

e) Then Hit Enter

The probability comes to be $0.88913$.

$$\begin{gathered} P(D鈮�30)=1-0.88913 \\ P(D鈮�30)=0.11087 \end{gathered}$$