One-Sided Confidence Interval A one-sided claim about a population proportion is a claim that the proportion is less than (or greater than) some specific value. Such a claim can be formally addressed using a one-sided confidence interval for p , which can be expressed as p < p ^ + E or p > p ^ − E , where the margin of error E is modified by replacing z α /2 with z α . (Instead of dividing α between two tails of the standard normal distribution , put all of it in one tail.) The Chapter Problem refers to a Gallup poll of 1487 adults showing that 43% of the respondents have Facebook pages. Use that data to construct a one-sided 95% confidence interval that would be suitable for helping to determine whether the proportion of all adults having Facebook pages is less than 50%.
One-Sided Confidence Interval A one-sided claim about a population proportion is a claim that the proportion is less than (or greater than) some specific value. Such a claim can be formally addressed using a one-sided confidence interval for p , which can be expressed as p < p ^ + E or p > p ^ − E , where the margin of error E is modified by replacing z α /2 with z α . (Instead of dividing α between two tails of the standard normal distribution , put all of it in one tail.) The Chapter Problem refers to a Gallup poll of 1487 adults showing that 43% of the respondents have Facebook pages. Use that data to construct a one-sided 95% confidence interval that would be suitable for helping to determine whether the proportion of all adults having Facebook pages is less than 50%.
Solution Summary: The author explains that the 95% one-sided confidence interval for the proportion of all adults having a Facebook page is 0.451.
One-Sided Confidence Interval A one-sided claim about a population proportion is a claim that the proportion is less than (or greater than) some specific value. Such a claim can be formally addressed using a one-sided confidence interval for p, which can be expressed as p <
p
^
+ E or p >
p
^
− E, where the margin of error E is modified by replacing zα/2 with zα. (Instead of dividing α between two tails of the standard normal distribution, put all of it in one tail.) The Chapter Problem refers to a Gallup poll of 1487 adults showing that 43% of the respondents have Facebook pages. Use that data to construct a one-sided 95% confidence interval that would be suitable for helping to determine whether the proportion of all adults having Facebook pages is less than 50%.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
The masses measured on a population of 100 animals were grouped in the
following table, after being recorded to the nearest gram
Mass
89 90-109 110-129 130-149 150-169 170-189 > 190
Frequency 3
7 34
43
10
2
1
You are given that the sample mean of the data is 131.5 and the sample
standard deviation is 20.0. Test the hypothesis that the distribution of masses
follows a normal distribution at the 5% significance level.
state without proof
the uniqueness
theorm of probability
function
(a+b)
R2L
2+2*0=?
Ma
state without proof the uniqueness theorm
of probability function suppose thatPandQ
are probability measures defined on the
same probability space (Q, F)and that
Fis generated by a π-system if P(A)=Q(A)
tax for all A EthenP=Q i. e. P(A)=Q(A) for alla g
// معدلة 2:23 ص
Chapter 7 Solutions
Essentials of Statistics Plus MyLab Statistics with Pearson eText -- Access Card Package (6th Edition) (What's New in Statistics)
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