Answer:
The girl's height is more than the 78 percent of the 16 year old girl
and,
the girl's weight is more than the 48% of the 16 years old girl
Explanation:
Given:
the height= 66 inches
weight of the girl = 118 pounds
the girl's percentile of weight = 48
the girl's percentile of height = 78
The percentile is the value below which percentage of the other observations are observed.
this means,
that the girl's height is more than the 78 percent of the 16 year old girl
and,
the girl's weight is more than the 48% of the 16 years old girl
I had the same problem with this question and I know I'm late, but I am answering it for future students who may have trouble with this question. I believe the narrator is saying that if Helen Grey does not change her ways she will be unhappy. Men think she is beautiful, but because her personality is ugly they will find her unattractive. She will be bitter. In the poem it states, "Take heed, you yet may trip and fall, and no man care to stretch his arms."
Answer:
Sample size refers to the number of observations that will be included in a statistical sample.
A sample is a collection of objects, individuals or phenomena selected from a statistical population usually by a given procedure.
The sample size affects the following:
- Confidence and Margin of Error - The more a population is varied, the higher the unreliability of the calculations or estimates. In the same vein, as the sample size increases, we have more information. The more information we have, the less we error or uncertainty we have.
- Power and Effect Size - Upping the sample size enables one to detect variances. Put differently, on the balance of probability, an average obtained on a larger sample size will exceed the average real than average collected on a smaller sample size.
- Size Versus Resources - An overtly large sample will lead to a waste of resources that are already scarce and (where human subjects are involved) could expose them unecessarily to related risks.
- A study should only be carried out only if, on the balance of probability, there is a fair chance that the study will produce useful information.
- Variableness - Population Sampling makes room for variableness. Variableness ensures that every member of the population has a probability of being represented in the sample.
Cheers!
Answer : the answer is look into a book
