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Give an example for each of the following concepts: (i) Discrete variable. (ii) Continuous variable. (iii) Nominal-level measurement. (iv) Ordinal-level measurement. (v) Interval-level measurement. (vi)

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Give an example for each of the following concepts:

(i) Discrete variable.

(ii) Continuous variable.

(iii) Nominal-level measurement.

(iv) Ordinal-level measurement.

(v) Interval-level measurement.

(vi) Ratio-level measurement.

2 Classify each according to level of measurement with the

interpretation of the meaning of zero if exist.

(i) Ages of students in the college (in years).

(ii) Ages premature babies in the maternity hospital (in

hours).

(iii) Color of eyes of people.

(iv) Colors of Spectrum of light.

(v) Rankings of football players.

(vi) Temperatures inside room (in Celsius).

(vii) Temperatures inside high cold cooling device in a labor (in Kelvin).

(viii) Nationalities of the workers in Riyadh.

(ix) Salaries of employees in the college.

(x) Weights of boxes of fruits.

(xi) Criminal cases in court

3 Classify each variable as qualitative or quantitative.

(i) Time neededtofinish the exam.

(ii) Colors of basketball team T-shirts.

(iii) Weights of luggage of passengers.

(iv) Classification of children in a day care center according to gender.

(v) Marital status of faculty members in King Saud

University.

(vi) Horsepower of tractor engines.

4 Classify each variable as discrete or continuous

(i) Lifetime (in hours) of table lamps.

(ii) Number of cars rented each week.

(iii) Number of cups sold each day by coffee shop.

(iv) Weights of boys in a school.

(v) Capacity (in gallons) of ten jugs of oil.

5 Classify each sample as simple random, systematic, stratified, or cluste

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QUESTION 7 Select all choices that apply to the p-value A large p-value indicates that we should reject the null hypothesis The probability of making a Type I error O The probability of obtaining a test statistic at least as extreme as the one we obtained, under the alternative hypothesis O The probability of obtaining a test statistic less extreme than the one we obtained, under the null hypothesis A small p-value indicates that we should reject the null hypothesis The probability of obtaining a test statistic at least as extreme as the one we obtained, under the null hypothesis QUESTION 8 The significance level of a test is O Specified before we carry out the test O The probability of rejecting the null hypothesis, given that it is true O A threshold for how rare our outcome must be before we call it evidence against the null hypothesis O All of the aboveQuestion 3 - / 10 is a statistic and an estimator of the parameter and s is a statistic and an estimator of the parameter : 1 H, O 2 p, 02 3 H, Z 4 H, 02 Question 4 - / 10 If the conjecture of a proposed mean, compared to the population mean, results in a probability less than 80%, you would accept the conjecture. T True F FalseQuestion 28 (2 points) Which one of the following statements is TRUE? )A sampling distribution is the probability distribution for a sample. )A sampling distribution is the probability distribution for a sample statistic. O A sampling distribution is the probability distribution for a population parameter. A sampling distribution is the probability distribution for a population.D Question 12 1 pts The pvalue is the probabilith calculated assuming the is true, of obtaining a value of the test statistic at least as contradictory to H 0 as the value calculated from the available sample. 0 Null hypothesis 0 Rejection region 0 Test statistic 0 None of the above 0 Altemative hypothesis Fora null hypothesis Ho :1\" 2100;} 210595: : afx/:1 : 25 , then thevalue of the test statistic z is: 02 04 Q1 03 Out]

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