Answer:
1 cause 4/8 is a half of the jug at it's full brethall
so one 1/2
Answer:
she can only get 1 servings
Answer:
y = 3/4x +2
Step-by-step explanation:
The slope intercept form of an equation is
y = mx+b
where m is the slope and b is the y intercept
Y-intercept=(0,2) slope=3/4
y = 3/4x +2
Answer:
To answer the question, we will need to find the 6% (the home runs of the LA Dodgers) of 583 (the entire Major League Baseball home run count).
To do that, first we are going to divide 6% by 100% to convert it to a fraction and get rid of the percentage signs :
Now we can multiply our fraction by the entire Major League Baseball home run count to get the home runs of the Dodgers:
We can conclude that the LA Dodgers hit approximately 35 home runs.
Step-by-step explanation:
Yeet
The rest of the league hit approximately 583 home runs.
In order to determine the number of home runs hit by the rest of the league, we need to set up a proportion using the given information. Let 'x' represent the number of home runs hit by the rest of the league. We can set up the proportion as follows:
35/x = 6/100
Cross-multiplying, we get 100 * 35 = 6 * x.
Simplifying, we have 3500 = 6 * x. Dividing both sides by 6, we find that x = 583.33. Rounding to the nearest whole number, the rest of the league hit approximately 583 home runs.
#SPJ12
H0: μ = 30,
Ha: ≠30
at the significance level of 0.01.
You conclude:
a) There is not enough evidence to support the claim.
b) There is enough evidence to support the claim.
Answer:
The correct option is a
Step-by-step explanation:
From the question we are told that
The population mean is
The standard deviation is
The sample size is n = 9
The null hypothesis is
The alternative hypothesis is
The level of significance is
The sample mean is
Generally the test statistics is mathematically represented as
=>
=>
From the z table the area under the normal curve to the right corresponding to 1.2 is
Generally the p-value is mathematically represented as
=>
=>
From the value obtained w can see that
hence
The decision rule is
Fail to reject the null hypothesis
The conclusion is there is not enough evidence to support the claim
To test the hypotheses, use a one-sample t-test to compare the sample mean to the population mean. Calculate the t-value and compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, reject the null hypothesis. Otherwise, fail to reject the null hypothesis.
To test the hypotheses, we can use a one-sample t-test since we know the population standard deviation and the sample size is small. The null hypothesis (H0) is that the population mean (μ) is equal to 30 seconds, while the alternative hypothesis (Ha) is that the population mean is not equal to 30 seconds.
Using the given information, we can calculate the t-value by using the formula:
t = (sample mean - population mean) / (population standard deviation / sqrt(sample size))
Once we have the t-value, we can compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, we reject the null hypothesis. If not, we fail to reject the null hypothesis and conclude that there is not enough evidence to support the claim.
#SPJ11