That one kid who doesn't know what ur talking about

Serum cholesterol levels of 100 hypertensive patients were recorded. Mean cholesterol level was 190 mg/d1. The data was symmetri

xxTIMURxx [149]

The standard error is 1.5.

The range of 95% confidence interval is 160 mg/dL and 220 mg/dL

<h3>What is the standard error of the distribution?</h3>

The standard error of the distribution is calculated as follows:

Standard error = standard deviation/√N

where N is the number of participants = 100

From the empirical rule of a normal or symmetrical distribution;

68% of the data lies within one standard deviation
95% percent within two standard deviations, and
99.7% within three standard deviations from the mean.

Therefore, 175 mg/dl and 205 mg/dl lie one standard deviation from the mean.

One standard deviation = 175 - 190 or 205 - 190 = ±15

Standard deviation = 15

a. Solving for the standard error using the equation above;

Standard error = 15/√100

Standard error = 1.5

b. The range of 95% confidence interval is two standard deviations away from the mean.

Range of values two standard deviations from the mean = 190 - (2*15) and 190 + (2 * 15)

Range of values two standard deviations from the mean = 160 mg/dL and 220 mg/dL

Therefore, the range of 95% confidence interval is 160 mg/dL and 220 mg/dL

In conclusion, the standard error is calculated from the standard deviation and the sample size.

Learn more about standard error at: brainly.com/question/14467769

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There are different variations in population size. The best reason why the simulation of the sampling distribution is not approximately normal is that The sample size was not sufficiently large.

<h3>What takes place if a sample size is not big enough? </h3>

When a sample size taken by a person or a researcher is not big or inadequate for the alpha level and also analyses that one have chosen to do, it will limit the study statistical power.

Due to the above, the ability to know a statistical effect in one's sample if the effect are present in the population is greatly reduces.

See full options below

Which of the following would be the best reason why the simulation of the sampling distribution is not approximately normal?

A The samples were not selected at random.

B The sample size was not sufficiently large.

с The population distribution was approximately normal.

D The samples were selected without replacement.

E The sample means were less than the population mean.

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