1. An investigation is carried out to determine whether face to face or virtual learning is more effective. If 12 students took an IT course virtual and 14 took it face to face: The data of the scores made for both types of learning are shown in the table. Virtual 66 75 85 64 88 77 74 91 72 69 77 83 Face to Face 80 83 64 81 75 80 86 81 51 64 59 85 74 77 Do the following: a) explain the type of data you have here and the hypothesis test you would use to determine the difference between the two types b) determine whether you can conclude that the mean score differs between the two types of course. You need to first set up an alternate and null hypothesis c) construct a pdf for both sets of data and explain the shape of the graph d) calculate a 95% confidence interval for each set of data. e) Determine the error in the sample mean

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Q: What is the coefficient of determination for the data above?

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Q: What is the mean of the data set comprising the numbers 7, 6, 5, 6 and 11?

A: Here Given Data set 7,6,5,6,11

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Q: What does a z-score tell you about a data value?

A: Solution: Let X be the random variable. The z-score is the standardized value of the given data.

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A: Margin of error is a measure of the extent to which the sample may vary from population.  It is a…

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A:

Q: A negative z-score indicates that the score or value is above the mean. True or False

A: Given: z-score

Q: Describe data in terms of variability, association, and relative standing.

A: Terms with example Variability Association Relative standing

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A:

Q: Explain Testing a Single Mean for significance?

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A: Qualitative data contains categorical variables. It includes values that do not have numerical…

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A: Qualitative variable consists of categories.

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A: We want to tell you above statement is true or false

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A:

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A: Data set: 7, 8, 4, 5 and 11 Number of observations = 5

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A: There is the effect of an outlier on the median value.

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A: Solution-: Give 2 examples of Mean in Measure of central tendency to grouped data

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.