Brett spent $25 for a tennis racket and pays $5 each time she plays a game.

Babatunde draws a drinking glass on graph paper using the scale shown below. The glass has a length of 888 units in the drawing.

Helen [10]

Answer: Is there a picture? It would really help me understand you question if you added a picture.

Step-by-step explanation:

8 0

2 years ago

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During a sale, a baseball team allows people to buy either a classic ticket (C), or an autograph event ticket (A). Suppose two c

scZoUnD [109]

Sample size is the number of subjects that are included in research or survey. The sample space for this action is CC, CA, AC, and AA.

<h3>What is a sample size?</h3>

Sample size can be defined as the number of subjects that are included in research or survey.

As it is given that there are two customers, and each of the customers buys any one of the two tickets, a classic ticket (C), or an autograph event ticket (A).

Now, as each of the customers has two choices, therefore, the sample space for this action can be written as,

CC - When both of the customers buy a classic ticket.

CA - When the first customer buys a classic ticket(C) while the other buys an autograph event ticket (A).

AC - When the first customer buys an autograph event ticket (A) while the other buys a classic ticket(C).

AA - When both of the customers buy an autograph event ticket (A).

Hence, the sample space for this action is CC, CA, AC, and AA.

Learn more about Sample Size:

brainly.com/question/25894237

4 0

2 years ago

Brainliest

NemiM [27]

Answer:

Infinitely Many

Hope dis helped

3 0

3 years ago

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Yosef typed a 36 word paragraph in 2/3 minute. What is his typing speed, in words per minute?

Yakvenalex [24]

Answer:

the answer is:

Yousef typing speed, in words per minute is

equal to

54 words

minute

8 0

2 years ago

An automobile manufacturer who wishes to advertise that one of its models achieves 30 mpg (miles per gallon) decides to carry ou

Katyanochek1 [597]

Answer:

$t=\frac{29.35-30}{\frac{1.365}{\sqrt{6}}}=-1.17$

$p_v =P(t_{(5)}$

If we compare the p value and the significance level given $\alpha=0.05$ we see that $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

We can say that at 5% of significance the true mean is not significantly less than 30 so then the claim that true average fuel efficiency is (at least) 30 mpg makes sense

Step-by-step explanation:

Data given and notation

The mean and sample deviation can be calculated from the following formulas:

$\bar X =\frac{\sum_{i=1}^n x_i}{n}$

$s=\sqrt{\frac{\sum_{i=1}^n (x_i -\bar X)}{n-1}}$

$\bar X=29.35$ represent the sample mean

$s=1.365$ represent the sample standard deviation

$n=6$ sample size

$\mu_o =30$ represent the value that we want to test

$\alpha=0.05$ represent the significance level for the hypothesis test.

t would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the true mean is lower than 30 or no, the system of hypothesis are :

Null hypothesis: $\mu \geq 30$

Alternative hypothesis: $\mu < 30$

Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$t=\frac{29.35-30}{\frac{1.365}{\sqrt{6}}}=-1.17$

P-value

We need to calculate the degrees of freedom first given by:

$df=n-1=6-1=5$

Since is a one-side left tailed test the p value would given by:

$p_v =P(t_{(5)}$

Conclusion

If we compare the p value and the significance level given $\alpha=0.05$ we see that $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

We can say that at 5% of significance the true mean is not significantly less than 30 so then the claim that true average fuel efficiency is (at least) 30 mpg makes sense

5 0

2 years ago