Question

Population data: $1,2,3,4,5$

Part (a): Find the mean, $\mu$, of the variable.

Part (b): For each of the possible sample sizes, construct a table similar to Table $7.2$on the page $293$and draw a dotplot for the sampling for the sampling distribution of the sample mean similar to Fig $7.1$on page $293$.

Part (c): Construct a graph similar to Fig $7.3$and interpret your results.

Part (d): For each of the possible sample sizes, find the probability that the sample mean will equal the population mean.

Part (e): For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be $0.5$or less, that is, that the absolute value of the difference between the sample mean and the population mean is at most $0.5$.

Short answer

Part (a): The mean $\mu$is localid="1652557695017" $3$.

Part (b): When $n=1$,

When localid="1652557697958" $n=2$,

When localid="1652558021926" $n=3$,

When localid="1652558026174" $n=4$,

When localid="1652558030268" $n=5$,

Part (c): The dot plot is given below,

Part (d): The probability that the sample mean will equal the population mean are $\frac{1}{5},\frac{1}{5},\frac{1}{5},\frac{1}{5},1$.

Part (e): The probability that the sampling error made in estimating the population are$\frac{1}{5},\frac{3}{5},\frac{3}{5},1,1$.

Step-by-step solution

Part (a) Step 1. Given information

Consider the given question,

The population data is $1,2,3,4,5$.

Part (a) Step 2. Find the mean of the variable.

The mean $\mu$is given below,

role="math" localid="1652556466666" $$\begin{gathered} \mu =\frac{\sum _{x_i}}{N} \\ =\frac{1+2+3+4+5}{5} \\ =\frac{15}{5} \\ =3 \end{gathered}$$

Part (b) Step 1. Construct a table.

For each of the possible sample sizes, we construct a table.

If the sample size taken $n=1$,

If the sample size taken $n=2$,

If the sample size taken $n=3$,

If the sample size taken $n=4$,

If the sample size taken $n=5$,

Part (c) Step 1. Construct the dot plot.

We will construct the dot plot for the sampling distribution of the sample mean.

To construct dot plot for the sampling distribution of the sample mean,

Part (d) Step 1. Find the probability that the sample mean will equal the population mean.

We can observe that from the dot plot there is one dot corresponding to $\mu =3$ when n is $1$.

Hence, the probability that sample mean will be equal to population mean$=\frac{1}{5}$

Similarly, the probability that sample mean will be equal to population mean when n is $2$is$\frac{2}{10}=\frac{1}{5}$(As there are $2$dots corresponding $\mu =3$)

The probability that sample mean will be equal to population mean when nis$3$are $\frac{2}{10}=\frac{1}{5}$(As there are $2$dots corresponding $\mu =3$)

We can observe that from dot plot there is one dot corresponding to $\mu =3$ when nis $4$.

The probability that sample mean will be equal to population mean when nis$4$$=\frac{1}{5}$

The probability that sample mean will be equal to population mean when nis$5$is $1$.

Part (e) Step 1. Find the probability that sampling error made in estimating the population mean.

Number of dots within $0.5$or less of $\mu =3$is data-custom-editor="chemistry" $1$out of $5$ when n is $1$.

Hence, the probability that $\overline{x}$will be within $0.5$or less of $\mu$is $\frac{1}{5}$.

Number of dots within $0.5$or less of $\mu =3$is $6$out of $10$ when n is $2$.

Hence, the probability that $\overline{x}$will be within $0.5$or less of data-custom-editor="chemistry" $\mathrm{\mu }$is $\frac{6}{10}=\frac{3}{5}$.

Number of dots within $0.5$or less of $\mu =3$is $6$out of $10$ when nis $3$.

Hence, the probability that $\overline{x}$will be within $0.5$or less of $\mu$is role="math" localid="1652557460776" $\frac{6}{10}=\frac{3}{5}$.

Number of dots within $0.5$or less of $\mu =3$is $5$out of $5$ when n is $4$.

Hence, the probability that $\overline{x}$will be within $0.5$or less of $\mu$is $\frac{5}{5}=1$.

Number of dots within $0.5$or less of $\mu =3$is $1$out of $1$for $n=5$.

Hence, the probability that $\overline{x}$will be within $0.5$ or less of$\mu$is$1$.