✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱ ✱
◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦ ◦
✯ ✯
✯
✯
✯ ✯
✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯ ✯
☆ ★ ☆ ✳︎ ✶ ∙ ✮
☆ ☆
6+4:2*10
6+2*10
<h2>26</h2>
✮ ∙ ✳︎ ★
✴︎ ✴︎ ✴︎✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎ ✴︎
What am i supposed to help with, can you show me?
#5: cost: y
Number of beads: x
y=0.48*x
So for 4 beads: 1.92
for 5 beads: 2.4
#6: the x th term in the sequence is y
y=17-2x
The 10th term is -3
To solve for proportion we make use of the z statistic.
The procedure is to solve for the value of the z score and then locate for the
proportion using the standard distribution tables. The formula for z score is:
z = (X – μ) / σ
where X is the sample value, μ is the mean value and σ is
the standard deviation
when X = 70
z1 = (70 – 100) / 15 = -2
Using the standard distribution tables, proportion is P1
= 0.0228
when X = 130
z2 = (130 – 100) /15 = 2
Using the standard distribution tables, proportion is P2
= 0.9772
Therefore the proportion between X of 70 and 130 is:
P (70<X<130) = P2 – P1
P (70<X<130) = 0.9772 - 0.0228
P (70<X<130) = 0.9544
Therefore 0.9544 or 95.44% of the test takers scored
between 70 and 130.