Answer:
REQUIRED TEST STATICS IS 35.19
Step-by-step explanation:
total size of sample = 10,000
men women
voted 2777 3466
did not vote 1444 2313
By chi square test we can find the relationship between gender and participation in the election
<em>
</em>
where
a represent = 2777, b = 3466, c= 1444, d = 2313, N = 10000
Putting values to get chis square statics
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</em>
<em>
</em>
HENCE REQUIRED TEST STATICS IS 35.19
The height of the skyscraper to the nearest tenth is 234. 95 meters.
<h3>How to determine the height</h3>
From the information given, we have:
- angle of elevation = 32°
- length of the base, adjacent side = 376 meters
- height of the skyscraper, opposite side = x meters
To determine the height of the elevator, let's use the tangent identity
We have that;
tan θ = opposite/ adjacent
The value of the opposite side is 'x' which is the height of the skyscraper and the value of the adjacent side is 376 meters which is the length of the base of the skyscraper
Now, substitute the values, we have;
tan 32 = x/ 376
cross multiply
x = tan 32 × 376
x = 0. 6249 × 376
x = 234. 95 meters
We know that the 'x' represents the opposite side and thus the height of the skyscraper
Thus, the height of the skyscraper to the nearest tenth is 234. 95 meters.
Learn more about angle of elevation here:
brainly.com/question/19594654
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Answer: Im going to guess 25
Step-by-step explanation: bryan is 36 half of 36 is 18 and becky is 7 years older than 18 which half so you would do 18+7=25 there is your answer.
I THINK DONT QUOTE ME ON THAT ANSWER
Answer:
Answer = d. Chi-Square Goodness of Fit
Step-by-step explanation:
A decision maker may need to understand whether an actual sample distribution matches with a known theoretical probability distribution such as Normal distribution and so on. The Goodness-of-fit Test is a type of Chi-Square test that can be used to determine if a data set follows a Normal distribution and how well it fits the distribution. The Chi-Square test for Goodness-of-fit enables us to determine the extent to which theoretical probability distributions coincide with empirical sample distribution. To apply the test, a particular theoretical distribution is first hypothesized for a given population and then the test is carried out to determine whether or not the sample data could have come from the population of interest with hypothesized theoretical distribution. The observed frequencies or values come from the sample and the expected frequencies or values come from the theoretical hypothesized probability distribution. The Goodness-of-fit now focuses on the differences between the observed values and the expected values. Large differences between the two distributions throw doubt on the assumption that the hypothesized theoretical distribution is correct and small differences between the two distributions may be assumed to be resulting from sampling error.
Answer: See explanation
Step-by-step explanation:
Your question isn't well written but let me help out. I saw a similar question.
Example 1: Aling Luz bought 3/8 yards of linen cloth which cost Php 72.00 per yard. She gave Php 1000.00 to the cashier.How much change will she get?
Since we are informed that Aling Luz bought 3/8 yards of linen cloth which cost Php 72.00 per yard, the amount she'll pay will be:
= 3/8 × 72
= Php 27
Since she gave the cashier Php 1000, her change will be:
= 1000 - 27
= Php 973
