Answer:
d. I and III only
Step-by-step explanation:
I. The seeds should be randomly assigned to a treatment.
III. The number of successful seeds and unsuccessful seeds in each group should be at least 10.
The distribution of difference between two sample proportions :
Given :
Proportion 1 = P1 ;
Proportion 2 = P2 ;
Sample assignment for both samples 1 and 2 into the different treatment groups should be randomized, that is a simple random sampling of subjects into the treatment and control group. The sample design for difference between two sample proportions should be independent.
Finally each of the two proportions P1 and P2 should record a minimum of 10 successes and 10 non - successful Occurrences.
Answer:
3/4 or 0.75
Step-by-step explanation:
Answer:
B
Step-by-step explanation:
To solve for x, we have to get x by itself. To do this, perform the opposite of what is being done to the equation.
5x+14=k
First, subtract 14 from both sides, because 14 is being added on to 5x. Subtraction is the opposite of addition.
5x+14-14=k-14
5x=k-14
Now, divide both sides by 5, because 5 and x are being multiplied. Division is the opposite of multiplication.
5x/5=k-14/5
x=k-14/5
So, the correct answer is choice B
Answer: No, these results are not statistically significant because
p > 0.05
Step-by-step explanation:
The null hypothesis is
H0 : μ = 17
The alternative hypothesis is
H 1 : μ ≠ 17
where μ is the mean amount of cereal in each box.
The p value that he got is 0.1499. This is greater than alpha = 0.05 which is the given level of significance.
If the level of significance is lesser than the p value, we would accept the null hypothesis.
Therefore, the correct option is
No, these results are not statistically significant because p>0.05
<em>Answer:</em>
<em>d</em>
<em />
<em>0.9</em>
<em />
<em>The value of a correlation coefficient ranges between -1 and 1.</em>
<em />
<em>The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linearrelationship.</em>
<em />
<em>The strongest linear relationship is indicated by a correlation coefficient of -1 or 1.</em>
<em />
<em>The weakest linear relationship is indicated by a correlation coefficient equal to 0.</em>
<em />
<em>A positive correlation means that if one variable gets bigger, the other variable tends to get bigger.</em>
<em />
<em>A negative correlation means that if one variable gets bigger, the other variable tends to get smaller.</em>
<em />
<em />
<em>hope it helps.</em>
<em />
