Write true is correct, otherwise false

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Write true is correct, otherwise false
1. The area under the normal curve is considered as probability.
2. Parameter is the measure obtained using all the data in the population.
3. If the population is not normally distributed, the sample size can be either small
or large.
4. A good estimator should be biased.
5. The larger the sample size, the closer the point estimate is to the true parameter.
6. Interval estimate describe a range of values of values used to estimate a
population using a predetermined degree of confidence.
7. The mean of the sample means is always greater than the population mean.
8. P(a <z<b) is the as P(a> z> b)
9. Central Limit Theorem states that if you have a population mean and standard
deviation and take sufficiently large random samples from the population with
replacement, then the distribution of the sample means will be approximately
normally distributed.
10. Statistics is the measure obtained using the data in a sample.
11. The distribution of the sample means is when samples of the same size are
selected from a population and the means are computed.
12. Using higher confidence levels means decreasing the range of the confidence
interval.
13. The sampling distribution of sample mean obtained from repeated samples
of the size drawn from the sample population.
14. The smaller the sample size, the better the approximation of the normal
distribution is.
15. A sample size is considered large if it is more than 30.
Transcribed Image Text:1. The area under the normal curve is considered as probability. 2. Parameter is the measure obtained using all the data in the population. 3. If the population is not normally distributed, the sample size can be either small or large. 4. A good estimator should be biased. 5. The larger the sample size, the closer the point estimate is to the true parameter. 6. Interval estimate describe a range of values of values used to estimate a population using a predetermined degree of confidence. 7. The mean of the sample means is always greater than the population mean. 8. P(a <z<b) is the as P(a> z> b) 9. Central Limit Theorem states that if you have a population mean and standard deviation and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. 10. Statistics is the measure obtained using the data in a sample. 11. The distribution of the sample means is when samples of the same size are selected from a population and the means are computed. 12. Using higher confidence levels means decreasing the range of the confidence interval. 13. The sampling distribution of sample mean obtained from repeated samples of the size drawn from the sample population. 14. The smaller the sample size, the better the approximation of the normal distribution is. 15. A sample size is considered large if it is more than 30.
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