Type I error is:
" Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29 "
Type II error is:
"Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually different from 0.29 "
<u>What is proportion?</u>
An equation in which two ratios are made equal is called a proportion. For instance, you could write the ratio as 1: 3 (for every one boy, there are three girls), which means that 14 of the population is made up of boys and 34 of the population is made up of girls.
In Statistics, a type I error is the rejection of a true null hypothesis
and a type II error is the non-rejection of a false null hypothesis
Given that p = 0.29 is accepted
Now type I error is
C. Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29
i.e. (false positive)
and type II error here is
B. Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually different from 0.29.
To learn more about the proportion from the given link
brainly.com/question/19994681
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Each piece is 20 inches long.
Step-by-step explanation:
The length pieces of the ribbon can be obtained by dividing the total length of ribbon by total number of pieces
Given
String length = 168 inches
Number of pieces = 6
So the length of each piece will be:

Cutting 8 inches from each piece means that the length will be reduced 8 inches

Hence,
Each piece is 20 inches long.
Keywords: Division, length
Learn more about lengths at:
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Answer:
9 UNITS 2
Step-by-step explanation:
9 UNITS 2
Answer:
1,0
Explanation:
Graphically, where the line crosses the x -axis, is called a zero, or root. Algebraically, a zero is an x value at which the function of x is equal to 0 . Linear functions can have none, one, or infinitely many zeros.
Answer:
The mean of this distribution is 36 years.
Step-by-step explanation:
When the distribution is normal, we use the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:

There is a 0.02275 probability that the age of any randomly chosen person in the department is less than 22
This means that when X = 22, Z has a pvalue of 0.02275. So when X = 22, Z = -2. So





The mean of this distribution is 36 years.