Question

1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE?...

1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE?

2) 99% of the data in a normal distribution lies within 2 standard deviations of the mean. TRUE or FALSE?

3) The sample is generally larger than the population. TRUE or FALSE?

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE?...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • True or False (1 point each) (Correct the ones that are false) The purpose of an interval estima...

    True or False (1 point each) (Correct the ones that are false) The purpose of an interval estimate is to provide information about how close a point estimate, i.e. sample statistic, is to the population parameter. If the population standard deviation is unknown and cannot be estimated from historical data, an interval estimate for the population mean can be constructed by substituting the sample standard deviation and using the t distribution instead of the normal distribution. You cannot determine a...

  • 8. True or False: (1 pt each) A. In a continuous probability distribution, the area underneath...

    8. True or False: (1 pt each) A. In a continuous probability distribution, the area underneath the density curve must be equal to 1. B. In a binomial experiment, the number of successes are fixed but the number of trials will vary. C. A standard normal distribution has mean of O and standard deviation of 1

  • 1. a) About ____ % of the area under the curve of the standard normal distribution...

    1. a) About ____ % of the area under the curve of the standard normal distribution is between z=−0.409z=-0.409 and z=0.409z=0.409 (or within 0.409 standard deviations of the mean). b) About ____ % of the area under the curve of the standard normal distribution is outside the interval z=[−0.78,0.78]z=[-0.78,0.78] (or beyond 0.78 standard deviations of the mean). c) About ____ % of the area under the curve of the standard normal distribution is outside the interval z=−0.86z=-0.86 and z=0.86z=0.86 (or...

  • 1. True or False: (1pt each) (T) (F) If a distribution is normal, then it is...

    1. True or False: (1pt each) (T) (F) If a distribution is normal, then it is not possible to randomly select a value that is more than 4 standard deviations from the mean. (T) (F) Normal distribution is a discreet probability distribution for a random variable. (T) (F) If the variable follows a binomial distribution, then about 68 % of the variables are within 1 SD of the mean, about 95% of the variables are within +2 SD of the...

  • sbrino19 In a continuous probability distribution, the probability that z will ake on n exact value a is equal to the height of the curve at that value b. is calculated using the probability den...

    sbrino19 In a continuous probability distribution, the probability that z will ake on n exact value a is equal to the height of the curve at that value b. is calculated using the probability density c. is always greater than 0. d. is always equal to O. e. None of these is correct. 2. Using the standard normal table, the total area between:--132ada.Ois a. 0.0494 b. 0.4656 c. 0.1554 d. 0.4162 e. 0.1005 3. The z-score representing the 10th percentile...

  • The alternate hypothesis is a statement that the value of a population parameter (such as proportion,...

    The alternate hypothesis is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value. True O False A Uniform probability distribution is applicable to the scenarios where the set of possible outcomes can take on values in a continuous range (e.g. real numbers), such as the temperature on a given day." True False A larger standard deviation indicates that the data is further away from; hence, the normal...

  • Quiz #5 1. True or False. Justify for full credit. (a) The normal distribution curve is...

    Quiz #5 1. True or False. Justify for full credit. (a) The normal distribution curve is always symmetric to 0. (b) If the variance from a data set is zero, then all the observations in this data set are identical. (c) P(A OR A complement) =1, where A complement is the complement of A. (d) In a hypothesis testing, if the p-value is less than the significance level α, we do not have sufficient evidence to reject the null hypothesis....

  • (10) 12. Which of the following characteristics are true for a normal probability distribution? (CIRCLE ALL...

    (10) 12. Which of the following characteristics are true for a normal probability distribution? (CIRCLE ALL THAT ARE TRUE) A) The area under the curve is 1. B) It is symmetrical. C) The midpoint is also the mean. D) The total sample space for the normal distribution is all positive integers E) 95% of the area under the Normal PDF curve is within One Standard Deviation from the Mean.

  • Respond True or False to each of these statements. The total area under the normal distribution...

    Respond True or False to each of these statements. The total area under the normal distribution is equal to 1. As the sample size increases, the distribution of the sample statistics becomes more consistent. Sampling variability refer to a variability of parameters. A sampling distribution describes a distribution of sample statistics. All variables that are approximately normally distributed can be transformed to standard z-scores. The z-value corresponding to a datum below the mean is always negative. The area under the...

  • 1. Select all true statements about sample mean and sample median. A) When the population distribution...

    1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT