Question

In: Statistics and Probability

An economist wants to determine whether individuals in Massachusetts make a higher salary that individuals in...

An economist wants to determine whether individuals in Massachusetts make a higher salary that individuals in the rest of the nation. Assume that the average salary for individuals in the nation is Normally distributed N($41,000, $3000). That is, the population mean is $41,000 and the population standard deviation is $3000.

The economist takes a sample of 25 individuals from Massachusetts and finds that the average salary is $44,000. Does the economist have statistically significant evidence to show that individuals in Massachusetts make more money that individuals in the rest of the nation? Assume alpha = 0.05

1. State the null and alternative hypothesis

2. Set alpha

3. Compute the Test Statistic

4. Determine p-value

5. Conclude (Select either: Reject the Null OR Fail to Reject the Null)

Solutions

Expert Solution

ANSWERS:

Z-test for One Population Mean:

*********************************************************************************************************************

Ans 1)

Here alpha = 0.05

**********************************************************************************************************************

Ans 2)

Test Statistic = 5

***********************************************************************************************************************

Ans 3)

P-value = 0

*****************************************************************************************************

Ans 4)

Null hypothesis is rejected.

*******************************************************************************************************************


Related Solutions

Conduct a test of hypothesis to determine whether the mean salary (Salary column) of the teams...
Conduct a test of hypothesis to determine whether the mean salary (Salary column) of the teams was different than $75.0 million. Use the 5% level of significance. Note: We do not know the populations standard deviation. Salary 93.6 143 108.7 61.7 95.2 67.1 103.9 71.4 189.6 79.4 106.5 24.1 68.3 89.1 66.2 87.3 99.7 68.9 54.4 30.5 87.8 108.5 71 115.2 89.4 38.5 58.1 90.2 90.3 37.3 Select one: a. p = 19.2%. Do not reject the null. The mean...
A health care professional wants to determine whether individuals with hypertension who take Atenolol have significantly...
A health care professional wants to determine whether individuals with hypertension who take Atenolol have significantly lower systolic blood pressure than individuals with hypertension who do not take Atenolol. For individuals who have not been prescribed Atenolol, the population systolic blood pressure mean is 165 (µ = 165). The 30 individuals who take Atenolol have an average systolic blood pressure of 180, with a sample standard deviation of 6. On the basis of these data, can the researcher conclude that...
An economist wants to determine the relation between one’s FICO score and interest rate of a...
An economist wants to determine the relation between one’s FICO score and interest rate of a 36-month auto loan. The data represent the interest rate (in percent) a bank might offer on a 36-month auto loan for various FICO scores. Credit Score, x: 550;600;640;670;700;750 Interest Rate, y: 19;18;12;8;6;5 a) Calculate the least regression line y=b0+b1x b) Calculate a 99% Confidence Interval about the slope of the least regression line c) Calculate a 99% Prediction Interval about the slope of the...
A researcher wants to study the relationship between salary and gender. She randomly selects 318 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 318 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000 34 23 57 $25,000-$50,000 26 70 96 $50,000-$75,000 31 22 53 Above $75,000 . 64 48 112 Total 155 163 318 Step 3 of 8 : Find the expected value for the number of women with an income of $50,000-$75,000. Round your...
A researcher wants to study the relationship between salary and gender. She randomly selects 364 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 364 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000 54    46 100 $25,000-$50,000 41 30    71 $50,000-$75,000 56 41    97 Above $75,000    29 67 96 Total 180    184 364 Step 1: State the null and alternative hypothesis Step 2: Find the expected value for the number...
A researcher wants to study the relationship between salary and gender. She randomly selects 221 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 221 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000 17 19 36 $25,000$-$50,000 18 18 36 $50,000-$75,000 36 40 76 Above $75,000 35 38 73 Total 106 115 221 Step 1 of 8 :   State the null and alternative hypothesis. Answer H0: salary and gender are independent Ha: salary and gender...
A researcher wants to study the relationship between salary and gender. She randomly selects 384 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 384 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Step 1 of 8: State the null and alternative hypothesis. Step 2 of 8: Find the expected value for the number of men with an income below $25,000. Round your answer to one decimal place. Step 3 of 8: Find the expected value for the number of women...
A researcher wants to study the relationship between salary and gender. She randomly selects 215 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 215 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 17 17 34 $25,000$⁢25,000-$50,000$⁢50,000 16 17 33 $50,000$⁢50,000-$75,000$⁢75,000 20 18 38 Above $75,000$⁢75,000 53 57 110 Total 106 109 215 Step 2 of 8 :   Find the expected value for the number of men with an income below $⁢25,000. Round your answer...
A researcher wants to study the relationship between salary and gender. She randomly selects 324324 individuals...
A researcher wants to study the relationship between salary and gender. She randomly selects 324324 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Below $25,000$⁢25,000 26 17 43 $25,000$⁢25,000-$50,000$⁢50,000 37 26 63 $50,000$⁢50,000-$75,000$⁢75,000 36 90 126 Above $75,000$⁢75,000 56 36 92 Total 155 169 324 Find the value of the test statistic. Round your answer to three decimal places. part 5 find the degrees of freedom associated with the test statistic...
A randomized study was performed to determine whether a diet of processed meats causes a higher...
A randomized study was performed to determine whether a diet of processed meats causes a higher proportion of incidents of breast cancer. Researchers compared high intake versus low intake diets of processed meats for women with breast cancer and found the following results shown in the two-way table below: Breast Cancer No Breast Cancer Total High Intake processed meat 88 152 240 Low Intake processed meat 61 159 220 Using phigh for the proportion with diet high in processed meat...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT