What is the area below a z-score of 1.40? a. 0.4192 b. 0.9192 C. -0.8017 d. 0.80

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What is the area below a z-score of 1.40? a. 0.4192 b. 0.9192 C. -0.8017 d. 0.8017 8. What is the area above a z-score of -0.48? a. -0.1844 b. 0.0500 C. 0.6844 d. 0.7541 9. When rolling a pair of fair dice, the probability of rolling a total point value of "T" is to 0.17. If you rolled a pair of dice 1,000 times and the point value of "T" appeared 723 times, what would you probably conclude? a. This is not so unlikely at to make you doubt the fairness of the dice. b. Although not impossible, this outcome to so unlikely the falmess of these dice is questionable. c. Since the total point value of "T" has the highest probability of any event in the sampling distribution, this is an extremely likely outcome. d. It is impossible for this to happen if the dice are fair. 10. What do we call the portion of the sampling distribution in which values are considered too unlikely to have occurred by chance? a. Region of criterion value b. Region of critical value C. Region of rejection d. Critical value 11. A study about the college aptitude of seniors at North City High School has resulted in a sample mean with a corresponding z-score of -2.00. If the critical value for the region of rejection is plusminus1.96, what is the correct conclusion? a. Since the z-value falls within the region of rejection, we should conclude this sample mean likely represents some other population. b. Since the z-value does not fall within the region of rejection, we should not conclude this sample mean represents some other population. c. Since the z-value falls within the region of rejection, we should not conclude this sample mean represents some other population d. Since the z-value does not fall within the region of rejection, we should conclude this sample mean likely represents some other population. 12. When does sample error occur? a. When a sample statistic is not equal to the population parameter as a result of nonechance factors b. When a sample statistic is not equal to the population parameter as a result of chance factors c. When htere has been an error in calculating the standard error of the mean d. When there has been an error to calculating the sample mean

Explanation / Answer

7) Answer : b. 0.9192

8) z = -0.48

P = 1 - 0.3156 = 0.6844 Answer c.

9)
Answer b. Although not impossible ,this outcome is so unlikely the fairness of these dice is questionable.

10)
Answer d. Critical Value

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