Thanks!
Answer:
no
Step-by-step explanation:
i copied the person above me :)
sorryyy not sorry lol
#respectfully
X
1 1 2 2 3 3 4
FX) -1 3 4 0 5 1 6
Label:
Explanation:
Answer:
Not a function
Step-by-step explanation:
Each input can have only have one output.
x(1) can't equal both -1 and 3 at the same time.
x(2) can't equal both 4 and 0 at the same time.
x(3) can't equal both 5 and 1 at the same time.
In other words there can't be multiple X's equalling different things.
Answer:
Step-by-step explanation:
Hello!
You have two surveys that measure the weight of six-year-old girls in the USA,
1) 1999-2002
μ= 49.3 pounds
(I'll take this mean as the population value since it can be considered "historical data" or point of comparison to make the test.)
2)2003-2006
sample n= 190
sample mean x[bar]= 46 pounds
population standard deviation σ= 17 pounds
Assuming that the study variable X" Weight of six-year-old girls between 2003 - 2006" (pound) has a normal distribution.
If you need to test that the children are heavier now (2003-2006) than in the past (1999-2002) the test hypothesis is:
H₀: μ ≤ 49.3
H₁: μ > 49.3
α: 0.10
The statistic is Z= (x[bar]-μ) ~N(0;1)
(δ/√n)
The critical region is one-tailed to the right.
So you'll reject the null hypothesis if the calculated statistic is equal or greater than 1.28.
Z= 46 - 49.3 = -2.67
17/√190
Since the calculated value -2.67 is less than 1.28 you do not reject the null hypothesis. In other words, the six-year-old girls from 2003-2006 are thinner than the girls from 1999-2002.
I hope it helps!
A.
Upper H 0 : p less than 0.5
Upper H 1 : p equals 0.5
B.
Upper H 0 : p greater than 0.5
Upper H 1 : p equals 0.5
C.
Upper H 0 : p equals 0.5
Upper H 1 : p not equals 0.5
D.
Upper H 0 : p equals 0.5
Upper H 1 : p less than 0.5
E.
Upper H 0 : p not equals 0.5
Upper H 1 : p equals 0.5
F.
Upper H 0 : p equals 0.5
Upper H 1 : p greater than 0.5
What is the test statistic?
Z =
(Round to two decimal places as needed.)
What is the conclusion about the null hypothesis?
A. Reject the null hypothesis because the P-value is greater than the significance level, alpha.
B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, alpha.
C. Fail to reject the null hypothesis because the P-value is greater than the significance level, alpha.
D. Reject the null hypothesis because the P-value is less than or equal to the significance level, alpha.
What is the final conclusion?
A.There is sufficient evidence to support the claim that most medical malpractice lawsuits are dropped or dismissed.
B.There is not sufficient evidence to support the claim that most medical malpractice lawsuits are dropped or dismissed.
C.There is sufficient evidence to warrant rejection of the claim that most medical malpractice lawsuits are dropped or dismissed.
D.There is not sufficient evidence to warrant rejection of the claim that most medical malpractice lawsuits are dropped or dismissed.
Answer:
Step-by-step explanation:
A. Upper H 0 : p equals 0.5
Upper H 1 : p not equals 0.5
B. Using the tests promotion formula, we have (p - P) / √P(1-P)
Where p (sample promotion) = 494/788 = 0.6269, P (population proportion) = 0.5,
(0.6269 - 0.5) / (√0.5(1-0.5))
0.1269/ √(0.5 (0.5))
0.1269/ √0.25
0.1269/0.5
Test statistics is equal to 0.2538
C. We will use the p value to determine our result, thus the p value at 0.05 level of significance is 0.79965, thus we fail to reject the null hypothesis because the P-value is greater than the significance level, alpha.
Then we conclude that There is not sufficient evidence to support the claim that most medical malpractice lawsuits are dropped or dismissed.
Answer:
It will take them approximately 51.43 minutes to complete the project together
Step-by-step explanation:
This is what is called a "shared job" problem.
The best way to work on them is to start by finding the "portion" of the job done by each of the people in the unit of time.
So, for example, Sarah completes the project in 90 minutes, so in the unit of time (that is 1 minute) she completed 1/90 of the total project
Betty completes the project in 120 minutes, so in the unit of time (1 minute) she completes 1/120 of the total project.
We don't know how long it would take for them to complete the project when working together, so we call that time "x" (our unknown).
Now, when they work together completing the entire job in x minutes, in the unit of time they would have done 1/x of the total project.
In the unite of time, the fraction of the job done together (1/x) should equal the fraction of the job done by Sarah (1/90) plus the fraction of the job done by Betty. This in mathematical form becomes:
So it will take them approximately 51.43 minutes to complete the project together.
6 4 6 8 7 7 6 3 3 8 10 4 8
7 8 7 5 9 5 8 4 3 8 5 5 4
4 4 8 4 5 6 2 5 9 9 8 4 8
9 9 5 9 7 8 3 10 8 9 6
Develop a 95% confidence interval estimate of the population mean rating for Miami. If required, round your answers to two decimal places. Do not round intermediate calculations.
Answer:
The 95% confidence interval estimate of the population mean rating for Miami is (5.7, 7.0).
Step-by-step explanation:
The (1 - α)% confidence interval for the population mean, when the population standard deviation is not provided is:
The sample selected is of size, n = 50.
The critical value of t for 95% confidence level and (n - 1) = 49 degrees of freedom is:
*Use a t-table.
Compute the sample mean and sample standard deviation as follows:
Compute the 95% confidence interval estimate of the population mean rating for Miami as follows:
Thus, the 95% confidence interval estimate of the population mean rating for Miami is (5.7, 7.0).