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This course is designed to acquaint the student with the principles of descriptive and inferential statistics. Topics will include: types of data, frequency distributions and histograms, measures of central tendency, measures of variation, probability, probability distributions including binomial, normal probability and student's t distributions, standard scores, confidence intervals, hypothesis testing, correlation, and linear regression analysis. This course is open to any student interested in general statistics and it will include applications pertaining to students majoring in athletic training, pre-nursing and business.

1

Determine whether the given value is a statistic or a parameter.

A survey found that 30 % of all respondents go to school.

2

Determine whether the given value is a statistic or a parameter.

A sample of students is selected and it is found that 50 % own a computer.

3

A particular country has 45 total states. If the areas of 20 states are added and the sum is divided by 20, the result is 186 comma 979 square kilometers. Determine whether this result is a statistic or a parameter.

4

Determine whether the given value is from a discrete or continuous data set.

When a car is randomly selected, it is found to have an engine with 4 cylinders.

5

Determine whether the value given below is from a discrete or continuous data set.

When a car is randomly selected and weighed, it is found to weigh 1851.5 kg.

6

Determine whether the value is from a discrete or continuous data set.

Number of bacteria in a petri dish is 12,120

7

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate.

States in a region

8

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate.

Ranks of cars evaluated by a consumer's magazine

9

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate.

Miles of road

10

Bushels of wheat

11

In a survey, the responses of respondents are identified as 10 for a "yes", 20 for a "no", 30 for a "maybe", and 40 for anything else. The average (mean) is calculated for 715 respondents and the result is 22.3.

Identify the level of measurement of the data.

Explain what is wrong with the given calculation.

12

In a set of data, blood lead levels are represented as 10 for low, 20 for medium, and 30 for high. The average (mean) of the 529 blood lead levels is 25.4.

Identify the level of measurement of the data.

Explain what is wrong with the given calculation.

13

Which of the following is associated with a parameter?

14

Which of the following consists of discrete data?

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