It depends what is the second equation
Answer:
See below.
Step-by-step explanation:
It isn't clear if the problem wants to know the number of video games sold, or the number remaining.
<h2><u>
Remaining Games</u></h2>
Let N be the number of video games in the store after d days. Assume none are replaced after they are sold.
N = 30 - 6d [Remaining games, N, are 30 minus the number of days, d, times 6 games/day] We need to also state 30 ≥ N ≥ 0. [No negative games are allowed. They are bad for morale].
<h2><u>
SOLD Games</u></h2>
Let N be the number of games sold over n days.
N = 6d [Games sold] Here, we need to state 0 ≤ N ≤ 30. [We can't sell more games than we have, unless you are a fast runner].
<span>Standardization
Or to produce the one of the statistical concepts, the z-score. The z-score is yielded when the sample mean deducts the observed sample score and is divided by the standard deviation. This is used to standardize the scale into numbers from or before 0. </span>
Answer:
The ratio represents the tangent of ∠I
Step-by-step explanation:
Let us revise the trigonometry ratio
In Δ HIJ
∵ m∠J = 90°
- Hypotenuse is the side which opposite to the right angle
∴ HI is the hypotenuse
∵ HJ = 3 units
∵ IH = 5 units
- Let us use Pythagoras Theorem to find HJ
∵ (HJ)² + (IJ)² = (IH)²
∴ 3² + (IJ)² = 5²
∴ 9 + (IJ)² = 25
- Subtract 9 from both sides
∴ (IJ)² = 16
- take √ for both sides
∴ IJ = 4 units
To find the tangent of ∠I find the opposite and adjacent sides to it
∵ HJ is opposite to ∠I
∵ IJ is adjacent to ∠I
- use the rule of tan above
∴ tan(∠I) =
∴ tan(∠I) =
The ratio represents the tangent of ∠I
Answer:
Step-by-step explanation:
From the given information,
The required correct answers are,
1. The sample is:
b) simple random sample
2. np0 (1-p0) ___ 10
a) greater than or equal to
3. n ___ 0.05N
b) less than or equal to
Hypotheses:
4. H0:p___0.75
d) =
5. H1:p___0.75
a) ≠
6. The test statistic is a
a) z test statistic
7. test statistic=2.8284
8. p-value=0.0047
Decision:
Because p-value less than Alpha=0.05, we reject null hypothesis.
Conclusion:
The data support the claim that the proportion has changed.