It would be 6 haha I just took a test and got it right
Answer:
Z-test is a statistical test used to check weather two means are significant or not for unknown variance and large sample size.
Z = (M - μ) ÷ √(σ² / n)
where, M = Sample Mean = 66.075
μ = Population Mean = 90
σ² = Population Variance = 15
Now, Calculating the value of Z-test:
Z = (66.075 - 90) ÷ √(225 ÷ 40)
Z = -23.925 ÷ 2.37171
Z = -39.06936
The value of Z is -39.06936.
The value of p is < .00001 at 90% confidence level.
If the p-value is less than value of α, We accept the null- hypothesis otherwise reject.
The result is significant at p < .10.
Thus, we accept the null hypothesis.
Answer:
<em><u>Note: I'm not sure all of this is correct</u></em> O_o
Part A
- Male IQR = Q₃ - Q₁ ≈ 15 - 5 ≈ 10
- Female IQR = Q₃ - Q₁ ≈ 9 - 2 ≈ 7
Part B
- Male Median = Q₂ ≈ 9 to 10
- Female Median = Q₂ ≈ 6 to 7
Difference ≈ 10 - 7 or 10 - 6 ≈ 3 to 4
Part C
<em>Male data distribution</em>
- <u>Shape</u>: The distribution is skewed right.
- <u>Outliers</u>: There doesn't appear to be any clear outliers on the box-plot.
- <u>Center</u>: Because the data is skewed, use median because it's a resistant measure of center. The median appears to be around 9 to 10.
- <u>Spread</u>: Because the data is skewed, use IQR because it's a resistant measure of spread. The IQR is calculated by subtracting the third quartile from the first quartile and appears to be around 10.
<em>Female data distribution</em>
- <u>Shape</u>: The distribution is slightly skewed right, but appears to have more normality than the male distribution
- <u>Outliers</u>: There appears to be one significant outliers at around 30 to 35 that is greatly larger than the rest of the data and is represented as a dot outside the box plot.
- <u>Center</u>: Because the data is skewed, use median because it's a resistant measure of center. The median appears to be around 6 to 7.
- <u>Spread</u>: Because the data is skewed, use IQR because it's a resistant measure of spread. The IQR is calculated by subtracting the third quartile from the first quartile and appears to be around 7.
Median would be a better measure of center for each because both data distributions aren't as symmetric/normal and have a skewed shape. Therefore, the median should be used because of its resistance, as it's not as impacted by extreme values as the mean.
Part D
There doesn't appear to be an outlier in the male dataset, but there appears to be a significantly large outlier in the female dataset, which might mean that there is a significantly large number of females(around 30 to 40) attending the latest superhero movie during a specific day of the study month. This might be due to a discount to the movie ticket that day for females, which attracts large number of females to watch the movie.
The equations have the same solution because the second equation can be obtained
Answer:
Step-by-step explanation:
The equations have the same solution because the second equation can be obtained
Answer:
Step-by-step explanation:
A) (1 x 4) + (1 x 4) = 8
There are 8 possible combinations
B) RH:RD:RC:RS:BH:BD:BC:BS
Hope this helps and have a nice day!