The probability for the z-score is greater than or equal to 1.4 is 0.08076 or 8.076 %.
<h3>What is a z-score?</h3>
The z-score is a numerical measurement used in statistics of the value's relationship to the mean of a group of values, measured in terms of standards from the mean.
The probability for the z-score is greater than or equal to 1.4 is given as
P(z ≥ 1.4) = 1 - P( z < 1.4}
P(z ≥ 1.4) = 1 - 0.91924
P(z ≥ 1.4) = 0.08076
P(z ≥ 1.4) = 8.076 %
More about the z-score link is given below.
brainly.com/question/13299273
Answer:
y = -1/2
Step-by-step explanation:
First distribute.
8y - 8y + 8 = 6 - 16y + 4 - 10
8 = -16y
Divide by -16.
y = -1/2
Answer:
4
Step-by-step explanation:
2(-3)=-6
(-6+(-2))/-2
(-6-2)/-2
-8/-2
4
Answer:
None of above
Step-by-step explanation:
Mark brainliest
Answer:
Null hypothesis: <em>μ₁</em> = <em>μ₂</em>.
Alternate hypothesis: <em>μ₁</em> > <em>μ₂</em>.
Step-by-step explanation:
The experimenter want to see whether laboratory rats would, on average, eat more when confined to a crowded cage or an uncrowded one.
(1)
The null hypothesis for this test is defined as:
<em>H</em>₀: The rats would, on average, not eat more when confined to a crowded cage or an uncrowded one, i.e. <em>μ₁</em> = <em>μ₂</em>.
(2)
The alternate hypothesis will be directional. This is because the experimenter wants to determine whether the rats eat more or not.
So the alternate hypothesis is:
<em>H</em>ₐ: The rats would, on average, eat more when confined to a crowded cage or an uncrowded one, i.e. <em>μ₁</em> > <em>μ₂</em>.
