Given the frequency table on the relationship between red hair and green eyes.
Green Eyes Eye Color other than Green Total
Red Hair 18 29 47
Hair Color
other than 114 650 764
Red
Total 132 679 811
The relative frequency table is obtained from a frequency table by dividing each entry of the requency table by the overall total of the frequency table.
The relative frequency table of the frequency table above is given below.
Green Eyes Other Eye Color Total
Red Hair 18/811 = 0.02 = 2% 29/811 = 0.04 = 4% 47/811 = 0.06 = 6%
Other Hair
Color 114/811 = 0.14 = 14%|650/811 = 0.80 = 80%|764/811 = 0.94 = 94%
Total 132/811 = 0.16 = 16%|679/811 = 0.84 = 84%|811/811 = 1.0 = 100%
Given that x is the relative frequency of people that have other hair color and have green eyes, thus, the value of x is 14%.
Therefore, <span>the value of x in the table = 14%.</span>
Answer:
False
Step-by-step explanation:?
The hypothesis tests compare weather an event is meant to alter a population mean results, for example, a scientist experiment might have or not have a significant effect over the population results. The test aims to reject the null hypothesis, so what it really want to find out is if the alternative Hypothesis H1 is likely true. The null hypothesis is the probability that the results are not due to chance – if it’s rejected, then the results are due to chance.The level of significance , or so called p-value, is the probability that the null hypothesis (H0) happen , If p is very small then the null hypothesis is rejected - isn’t true- and the alternative Hypothesis is accepted. A higher P value implies a higher probability than results are not happening so that the H0 is accepted and H1 rejected. The null Hypothesis will normally will rejected when the level of significance are either lower than 0.05 or 0.01, the lower P value the higher the level of confidence that the results are due to chance.
Since the first part of the statement (A p is the probability that the results are not due to chance) is correct, and the second part is wrong (…the probability that the null hypothesis (H0) is false), the total statement is false. The correct statement would be as follows : A p is the probability that the results are not due to chance, the probability that the null hypothesis (H0) is true.
Answer:
100 points
Step-by-step explanation:
-75 + 200 = 125
125 - 25 = 100
Step-by-step explanation:
-36.8 + 9.2(2). [as the value of x is 2]
-36.8 + 18.4
= - 18.4 [as the number with the
Negative sign is greater]
2*8 using <span>distributive property
= 2(3+5)
= 6+ 10
= 16</span>
