The percentage, P, of U.S. voters who use punch cards or lever machines in national elections can be modeled by the formula: P =
1 answer:
Answer:
From 2004 onwards, fewer than 38.1% of U.S. voters use punch cards or lever machines
Step-by-step explanation:
The percentage of U.S. voters who use punch cards or lever machines in national elections, in x years after 1994, is given by the following equation:
In which years will fewer than 38.1% of U.S. voters use punch cards or lever machines?
In x years after 1994 onwards.
x is found when P(x) = 38.1.
So
From 2004 onwards, fewer than 38.1% of U.S. voters use punch cards or lever machines
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Answer:
10 cents
Step-by-step explanation:
In order to answer this question we have to find how much each chicken strip costs individually.
Let's start with the 4 piece.
To find how much each piece costs we have to divide $2.40 by 4. Like this:
In the 4 piece, every chicken strip costs .60 cents.
Now, let's do the 6 piece.
Like before we are going to divide $3.00 by 6.
In the 6 piece, every chicken strip costs .50 cents.
Therefore, customers save 10 cents when they buy the larger quantity.
<em>I hope this helps!</em>
<em>If you have any questions let me know!</em>
<em>- Kay :)</em>
Answer:
The P-value is 0.0166.
Step-by-step explanation:
<u>The complete question is:</u> In a one-tail hypothesis test where you reject H0 only in the lower tail, what is the p-value if ZSTAT = -2.13.
We are given that the z-statistics value is -2.13 and we have to find the p-value.
Now, the p-value of the test statistics is given by the following condition;
P-value = P(Z < -2.13) = 1 - P(Z 2.13)
= 1 - 0.9834 = <u>0.0166</u>
Assuming that the level of significance is 0.10 or 10%.
The decision rule for rejecting the null hypothesis based on p-value is given by;
- If the P-value of the test statistics is less than the level of significance, then we have sufficient evidence to reject the null hypothesis.
- If the P-value of the test statistics is more than the level of significance, then we have insufficient evidence to reject the null hypothesis.
Here, the P-value is more than the level of significance as 0.0166 > 0.10, so we have insufficient evidence to reject the null hypothesis, so we fail to reject the null hypothesis.