Answer:
You will wrapping paper to cover the box.
Step-by-step explanation:
To find how much wrapping paper you will need to cover the box, you will have to find the surface area.
The surface area is the amount of area around the outside of an object.
The outside surface area of a box is given by
where h is the height, W is the width, and L is the length of the box.
From the information given we know that the height is 5 inches, the width is 9 inches, and the length is 12 inches.
Applying the above formula we get that
You will wrapping paper to cover the box.
Answer:
Step-by-step explanation:
Solution:-
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: The distribution of severity of psoriasis cases at the end and prior are same.
Alternative hypothesis: The distribution of severity of psoriasis cases at the end and prior are different.
Formulate an analysis plan. For this analysis, the significance level is 0.05. Using sample data, we will conduct a chi-square goodness of fit test of the null hypothesis.
Analyze sample data. Applying the chi-square goodness of fit test to sample data, we compute the degrees of freedom, the expected frequency counts, and the chi-square test statistic. Based on the chi-square statistic and the degrees of freedom, we determine the P-value.
DF = k - 1 = 4 - 1
D.F = 3
(Ei) = n * pi
Category observed Num expected num [(Or,c -Er,c)²/Er,c]
Remission 380 20 6480
Mild
symptoms 520 770 81.16883117
Moderate
symptoms 95 160 24.40625
Severe
symptom 5 50 40.5
Sum 1000 1000 6628.075081
Χ2 = Σ [ (Oi - Ei)2 / Ei ]
Χ2 = 6628.08
Χ2Critical = 7.81
where DF is the degrees of freedom, k is the number of levels of the categorical variable, n is the number of observations in the sample, Ei is the expected frequency count for level i, Oi is the observed frequency count for level i, and Χ2 is the chi-square test statistic.
The P-value is the probability that a chi-square statistic having 3 degrees of freedom is more extreme than 6628.08.
We use the Chi-Square Distribution Calculator to find P(Χ2 > 19.58) =less than 0.000001
Interpret results. Since the P-value (almost 0) is less than the significance level (0.05), we cannot accept the null hypothesis.
We reject H0, because 6628.08 is greater than 7.81. We have statistically significant evidence at alpha equals to 0.05 level to show that distribution of severity of psoriasis cases at the end of the clinical trial for the sample is different from the distribution of the severity of psoriasis cases prior to the administration of the drug suggesting the drug is effective.
The chi-square test is a statistical method that determines if there's a significant difference between observed and expected frequencies in different categories, such as symptom status in this clinical trial. Without post-treatment numbers, we can't run the exact test. However, if the test statistic exceeded the critical value, we could conclude that the drug significantly affected symptom statuses.
This question pertains to the use of a chi-squared test, which is a statistical method used to determine if there's a significant difference between observed frequencies and expected frequencies in one or more categories. For this case, the categories are the symptom statuses (remission, mild, moderate, and severe).
To conduct a chi-square test, you first need to know the observed frequencies (the initial percentages given in the question) and the expected frequencies (the percentages after treatment). As the question doesn't provide the numbers after treatment, I can't perform the exact chi-square test.
If the post-treatment numbers were provided, you would compare them to the pre-treatment numbers using the chi-squared formula, which involves summing the squared difference between observed and expected frequencies, divided by expected frequency, for all categories. The result is a chi-square test statistic, which you would then compare to a critical value associated with a chosen significance level (commonly 0.05) to determine if the treatment has a statistically significant effect.
To interpret a chi-square test statistic, if the calculated test statistic is larger than the critical value, it suggests that the drug made a significant difference in the distribution of symptom statuses. If not, we can't conclude the drug was effective.
#SPJ3
Answer:
(0, 0) s the solution of y-4 < 3x-1 as it satisfies the inequality.
Hence, option C is true.
Step-by-step explanation:
Given the point (0, 0)
a)
Putting the point (0, 0) the inequality
y+4 < 3x-1
0+4 < 3(0)-1
4 < -1
This is false as -1 can not be greater than 4
b)
y-1 < 3x-4
Putting the point (0, 0) the inequality
0-1 < 3(0)-4
-1 < -4
This is false as -1 can not be lesser than -4
c)
y-4 < 3x-1
Putting the point (0, 0) the inequality
0-4 < 3(0)-1
-4 < -1
This is true as -4 is lesser than -1
d)
y+4 < 3x+1
Putting the point (0, 0) the inequality
0+4 < 3(0)+1
4 < 1
This is false as 4 can not be lesser than 1
Therefore, (0, 0) s the solution of y-4 < 3x-1 as it satisfies the inequality.
Hence, option C is true.
The formula for the kinetic energy is:
Ke = 0.5mv^2
Where ke is the kinetic enrgy
M is the mass
V is the velocity
Ke = 0.5mv^2
12.5 = 0.5(1) v^2
Solve for v
V = 5 m/s
Potential energy, pe = mgh
Where m is mass
G is accelearation due to gravity 9.8 m/s2
H is the height
98 = (1)(9.8) h
H = 10 m
Answer:
A point travels East 3 spaces and South 8 spaces.
Algebraic equation
Step-by-step explanation:
From the viewpoint of Linear Algebra, the description can be described by means of translation, which is defined as:
(1)
Where:
- Initial position of the traveller, dimensionless.
- Translation vector, dimensionless.
- Final position of the traveller, dimensionless.
Let suppose that represents the number of steps to the north, and , the number of steps to the east.
If we know that and , then the resulting equation is:
Answer:
around 16 minutes. you partition an hour and a half (all out) by what number of sections he read (5.5
Step-by-step explanation:
Answer:
32
Step-by-step explanation:
so because there is 1 cup of kernels which makes 4 cups of pop corn and there are 8 cups of crenels you would multiply 8 and 4.