Find the mean, standard deviation, skewness, kurtosis of the blood sugar

Q: Scores on the SAT are normally distributed with a mean of 500 and a standard deviation of 100. What…

A: The normal distribution is the most useful theoretical distribution for continuous variables.…

Q: Describe the standard normal distribution. What are its characteristics?

A: Standard normal distribution curve is given.

Q: Score on the SAT are normally distributed with a mean of 500 and a standard deviation of 100. The…

A:

Q: Explain Special Type of Standard Deviation.

A: Standard deviation is a measure of dispersion, it measures the variability of data. The standard…

Q: In a normal distribution approximately what percent of data items fall within 1Standard deviation of…

A: Data fall within one standard deviation

Q: Increasing the standard deviation does what to a normal curve?

A: A low standard deviation indicates that the data points tend to be very close to the mean; where as…

Q: Attendence at university's basketball games are normally distributed with mean 8000 and standard…

A: Ans# -  Attendance at university's basketball games are normally distributed with             mean μ…

Q: Scores on an endurance test for cardiac patients are normally distributed with mean of 185 and…

A: Given that, Scores on an endurance test for cardiac patients are normally distributed with mean of…

Q: =9, median =13, standard deviation -5 Find the coefficient of skewness (round to two decimals)

A: Answer: From the given data, Mean (x¯) = 9 Median = 13 Standard deviation(s) = 5

Q: Fluorescent lightbulbs have lifetimes that follow a normal distribution, with an average life of…

A: Solution: From the given information, σ=1,612 hours and n=332.

Q: Assume that math test scores are normally distributed with a mean of 500 and a standard deviation of…

A:

Q: What does the variance of a random variable measure? What is the standard deviation of a continuous…

A: Variance of a random variable measures how far a set of (random) numbers are spread out from their…

Q: Glucose levels in patients free of diabetes are assumed to follow a normal distribution with a mean…

A: Given , Mean ( μ ) = 111 standard deviation (σ)  = 10.

Q: Define and explain the relevance of kurtosis, skewness and standard deviation as descriptive…

A: Kurtosis It is measure of tailedness Skewness It is measure of symmetry SD It is measure of…

Q: Study on how much time people spend with family in a day shows that the time spending distribution…

A: We have find givan probability..

Q: Mean typing speed is 90 wpm, with a standard deviation of 18 wpm.  What typing speed separates the…

A: Given,mean(μ)=90standard deviation(σ)=18

Q: What does this symbol represent? standard deviation mean of the mean of the sample standard…

A: Standard deviation of sample mean is denoted by symbol σx¯ Mean of the sample means is denoted by…

Q: Define the sampling distribution of the sample mean for normal population when the variance is…

A: Let the sampling distribution of the sample for normal population when the variance is unknown is…

Q: Scores in a particular Mathematics test are normally distributed with mean of 175 and standard…

A: given datanormal distributionμ=175σ=20p(105<x<180) = ?

Q: Heights in a supopulation of 100 people are normally distributed with a mean of 180 centimeters and…

A: # Height of people follow normal distribution with mean=180 cm and standard deviations=10 cm  Then…

Q: Data shows the mean between the ages of 20 and 29 have a mean height of 69.3 inches, with a standard…

A: We have to find the sample standard deviation. The formula for sample standard deviation is given…

Q: Which one is not measuring the degree to which the scores in a distribution are spread out or…

A: Variance is a measure of dispersion. It measures how far each observation falls from the mean of the…

Q: Derive mean and variance of normal distribution.

A:

Q: Estimate the population variance assuming homogeneity of variance?

A: The assumption of homogeneity of variance indicates the assumption that the population variances are…

Q: Mean=8, median =11, standard deviation = 5 Find the coefficient of skewness (round to two decimals)

A: Answer: From the given data, mean = 8 , median = 11  and standard deviation = 5

Q: What is normal distribution?

A: The normal distribution: A continuous random variable X is said to follow normal distribution with…

Q: normally distributed , Mean= 215 standard deviation= 25  what is the probability of getting more…

A: Mean = 215 Standard deviation = 25

Q: Define Standard deviation, s; variance

A:

Q: The probability that the member selected at random is from the shaded area of the graph is - (Round…

A: Here mean = 20.7 Standard deviation = 5.5 Here use normal distribution table for the probability…

Q: The weights of 40 watermelons coming out of a farm are normally distributed with a mean of 6 Kg and…

A: From the given information, Sample size (n) = 40 Ex=6,σx⏞ =1.945 Thus,

Q: lescribes the numb

A: We have given the table of no. of sleep walker and probabilities. We have to find the standard…

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.