Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2017, 9 of the 30 stocks making up the DJIA increased in price.

On the basis of this fact, a financial analyst claims we can assume that 68% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 55 stocks traded on the NYSE that day showed that 35 went up. You are conducting a study to see if the proportion of stocks that went up is **significantly** different from 68%. You use a significance level of α=0.05α=0.05.

- The null and alternative hypotheses would be:

H0H0: ? μ p Select an answer = < > ≠ (please enter a decimal)

H1H1: ? μ p Select an answer < = ≠ > (Please enter a decimal)

- The test statistic = (please show your answer to 3 decimal places.)

- The p-value = (Please show your answer to 4 decimal places.)

- The p-value is ? > ≤ αα

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.

A sample of 60 stocks traded on the NYSE that day showed that 9 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.002.

What is the test statistic for this sample? (Report answer accurate to three decimal places.)

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

- less than (or equal to) α
- greater than α

This test statistic leads to a decision to…

- reject the null
- accept the null
- fail to reject the null

As such, the final conclusion is that…

- There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.
- The sample data support the claim that the proportion of stocks that went up is less than 0.3.
- There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is less than 0.3.

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2017, 9 of the 30 stocks making up the DJIA increased in price.

On the basis of this fact, a financial analyst claims we can assume that 76% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 61 stocks traded on the NYSE that day showed that 43 went up. You are conducting a study to see if the proportion of stocks that went up is **significantly**smaller than 76%. You use a significance level of α=0.01α=0.01.

- For this study, we should use Select an answer 2-SampTInt 2-PropZInt 1-PropZInt T-Test χ²GOF-Test 2-SampTTest 2-PropZTest TInterval ANOVA 1-PropZTest χ²-Test

- The null and alternative hypotheses would be:

H0H0: ? p μ Select an answer > = < ≠ (please enter a decimal)

H1H1: ? p μ Select an answer ≠ = > < (Please enter a decimal)

- The test statistic = (please show your answer to 3 decimal places.)

- The p-value = (Please show your answer to 4 decimal places.)

- The p-value is ? > ≤ αα

- Based on this, we should Select an answer accept reject fail to reject the null hypothesis.

- As such, the final conclusion is that …
- The sample data suggest that the populaton proportion is
**significantly**smaller than 76% at αα = 0.01, so there is sufficient evidence to conclude that the proportion of stocks that went up is smaller than 76% - The sample data suggest that the population proportion is not
**significantly**smaller than 76% at αα= 0.01, so there is not sufficient evidence to conclude that the proportion of stocks that went up is smaller than 76%.

- The sample data suggest that the populaton proportion is

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.

A sample of 60 stocks traded on the NYSE that day showed that 24 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of α=0.001α=0.001.

What is the test statistic for this sample? (Report answer accurate to three decimal places.)

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.

A sample of 50 stocks traded on the NYSE that day showed that 12 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.01.

What is the test statistic for this sample? (Report answer accurate to three decimal places.)

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

- less than (or equal to) αα
- greater than αα

This test statistic leads to a decision to…

- reject the null
- accept the null
- fail to reject the null

As such, the final conclusion is that…

- There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.
- The sample data support the claim that the proportion of stocks that went up is less than 0.3.
- There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is less than 0.3.

A sample of 80 stocks traded on the NYSE that day showed that 21 went up.

You are conducting a study to see if the proportion of stocks that went up is is significantly less than 0.3. You use a significance level of α=0.002

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

A sample of 64 stocks traded on the NYSE that day showed that 24 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of α=0.01α=0.01.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

- less than (or equal to) αα
- greater than αα

This test statistic leads to a decision to…

- reject the null
- accept the null
- fail to reject the null

As such, the final conclusion is that…

- There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
- The sample data support the claim that the proportion of stocks that went up is more than 0.3.
- There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is more than 0.3.

A sample of 67 stocks traded on the NYSE that day showed that 22 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of α=0.01α=0.01.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

A sample of 62 stocks traded on the NYSE that day showed that 9 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α= 0.001.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

less than (or equal to) α or greater than α

This test statistic leads to a decision to…

reject the null

accept the null

fail to reject the null

As such, the final conclusion is that…

There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.

There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is less than 0.3.

The sample data support the claim that the proportion of stocks that went up is less than 0.3.

There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is less than 0.3.

A sample of 55 stocks traded on the NYSE that day showed that 6 went up.

You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.02α=0.02.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

A sample of 51 stocks traded on the NYSE that day showed that 11 went up.

You are conducting a study to see if the proportion of stocks that went up is is significantly less than 0.3. You use a significance level of α=0.01α=0.01.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

A sample of 70 stocks traded on the NYSE that day showed that 8 went up.

You are conducting a study to see if the proportion of stocks that went up is is significantly less than 0.3. You use a significance level of α=0.005α=0.005.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

- less than (or equal to) αα
- greater than αα

This test statistic leads to a decision to…

- reject the null
- accept the null
- fail to reject the null

As such, the final conclusion is that…

- There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is is less than 0.3.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is is less than 0.3.
- The sample data support the claim that the proportion of stocks that went up is is less than 0.3.
- There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is is less than 0.3.

A sample of 58 stocks traded on the NYSE that day showed that 21 went up.

You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.02.

test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)

p-value =

The p-value is…

- less than (or equal to) αα
- greater than αα

This test statistic leads to a decision to…

- reject the null
- accept the null
- fail to reject the null

As such, the final conclusion is that…

- There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is is more than 0.3.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is is more than 0.3.
- The sample data support the claim that the proportion of stocks that went up is is more than 0.3.
- There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is is more than 0.3.

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