I'm assuming for this problem I need to find the z-score first then find the value on the distribution chart?The mean number of calories consumer per day for females aged 27 is 2725 with a standard deviation of 277. If a simple random sample of 100 females is selected, what is the probability that the mean number of calories ingested is more than 2800?

Q: Suppose that a particular large hotel has 790 rooms. Furthermore, suppose that for weekend nights…

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Q: ..is the best measure of dispersion. .. Select one: Range a. b. Variance Standard Deviation с.

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Q: Which of the following is not a characteristic of the normal probability distribution? The mean,…

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A: Given, 152 seconds(2 minutes 32 seconds)

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Q: Suppose that you are interested in determining the average height of a person in a large city.   You…

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Q: According to Chebyshev's theorem, at least what percentage of the observations in a data set will…

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Q: Suppose commute times in a large city are normally distributed and that 65.20% of commuters in this…

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A: A hypothesis test for two population of test statistic means is given by

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Q: Using the standard normal distribution table, compute the following probabilities P(Z ≥1.92) is:

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Q: The individual actually The data represent the results for a test for a certain disease. Assume one…

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Q: According to the U.S. Bureau of the Census, about 75% of commuters in the United States drive to…

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Q: SCCoast, an Internet provider in the Southeast, developed the following frequency distribution on…

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Q: The mean of X = 10 and the standard deviation of X = 2. The variable X is linearly transformed such…

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A: Mean is the average of the given terms.

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Q: 3. P(z >0.52) 6. P(-2.73 <z <-0.73)

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A: Mean is the sum of the given terms divided by the number of terms.

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A: Standard deviation can be calculated by using the following formula.

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A: Given information for California: Mean=22Standard deviation=5Sample size=30

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Q: There is a normal distribution with mean 10 and standard deviation of 8.  What is the probability of…

A: Mean is the average value of the given terms i.e. sum of terms divided by number of terms.

Hypothesis Testing

In statistics, there are two ways to calculate the sample data. One is descriptive statistics and the other is inferential statistics.  In descriptive statistics, all of the information is defined through graphs and charts. In inferential statistics, it allows one to test the hypothesis and it is always used to predict the data. Inferential statistics has two main areas: estimating parameters and hypothesis testing. A hypothesis is a statement about the unknown parameter of the population which we want to verify from the information available from the sample. The premise may or may not be true. The estimation of the whole population would be a reasonable way of deciding if the statistical hypothesis is valid. There are two types of hypotheses. They are null hypothesis and alternative hypothesis.