91影视

According to the National Center for Health Statistics, the distribution of heights for $16$-year-old females is modeled well by a Normal density curve with mean role="math" localid="1649581331434" $渭=64$inches and standard deviationrole="math" localid="1649581345730" $蟽=2.5$ inches.

No, because the dotplot contains the results of $250$simple random samples of size $20$, while the sampling distribution should contain the results of all possible samples of size $20$.

According to the National Center for Health Statistics, the distribution of heights for $16$-year-old females is modeled well by a Normal density curve with mean $渭=64$ inches and standard deviation $蟽=2.5$ inches.

Shape: Roughly unimodal and symmetric, because the highest peak is roughly in the middle of the histogram

Center: The highest peak in the histogram is at about $64.0$, thus the distribution is centered at $64.0$.

Spread: The data values appear to vary from $62.5$ to $65.7$.

Outliers are dots that are separated from the other dots in the dot-plot by a gap.

Then we note that there might be $2$outliers (one on each side of the dot-plot): $62.5$ and $65.7$.

According to the National Center for Health Statistics, the distribution of heights for $16$-year-old females is modeled well by a Normal density curve with mean $渭=64$ inches and standard deviation $蟽=2.5$ inches.

Claim: The population distribution is $N(64,2.5)$.

In the dotplot we note that there are a lot of dots above $64.7$ and also a lot of dots to its right, this means that it is likely to obtain a sample mean of $64.7$ if the population distribution is $N(64,2.5)$.

Then it appears that the claim is true.