Question

Context: Are males more likely to purchase fried products than females? You record the gender of...

Context:

Are males more likely to purchase fried products than females? You record the gender of all the customers for one week and find the following:

Purchased Fried Product Did NOT Purchase Fried Product Total
Male 42 33 75
Female 38 43 81
Total 80 76 156

At the 0.05 level of significance, is there evidence that there is a difference in the distribution of sales of fried products between males and females. Use Excel to calculate your answers below.

------------------------------

1a) Which test will you use to determine if there is a difference in distribution?

a) One sample hypothesis test

b)Two sample hypothesis test

c) One way ANOVA

d) Two way ANOVA

e) Chi-square

f) Correlation

--------------------

1b) What value did you calculate for your test statistic (t-value, z-value, f-value or chi-value)?

--------------------

1c) What value did you calculate for your critical value?

--------------------

1d) What value did you calculate for your p-value?

--------------------

1e) Which of the following best describes what you would conclude from these calculations?

a) There is no difference in the distribution of males and females the purchase fried products.

b) Males are more likely to purchase fried products.

c) Females are more likely to purchase fried products.

d) There is a difference in the distribution of males and females that purchase fried products.

Thanks for your help.

Homework Answers

Answer #1

To find out if there is evidence that there is a difference in the distribution of sales of fried products between males and females, we will conduct a chi-square test. The correct option is e)

The formula is:

To find out the expected values, we have to multiply the corresponding row total and column total, divide it by the overall total. The calculation table is:

Oi Ei (Oi-Ei)^2/Ei
42 38.46 0.325835
38 41.54 0.301675
33 36.54 0.342956
43 39.46 0.317577
Total 1.29

1b) Chi-square statistic = 1.29

1c) Critical value of chi-square at df = (2-1)*(2-1) = 1 is 3.84

1d) P-value is 0.2560 (from the table)

1e) We fail to reject the null hypothesis. We conclude that there is no difference in the distribution of males and females the purchase fried products.

A) is correct

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
why do you suppose violence by females is more likely than that of males to be...
why do you suppose violence by females is more likely than that of males to be directed against a family member?
1. Why are females more likely to contract bladder infections than males? 2. Upon drinking many...
1. Why are females more likely to contract bladder infections than males? 2. Upon drinking many beers at a party, one needs to urinate frequently. The next morning you have symptoms of dehydration - your mouth feels dry and you have a headache. Based on your knowledge of the urinary system, what hormone normally regulate the amount of water in the urine, and how did the alcohol interfere with this hormone’s function?
Context: You own three Chick-Fil-A franchises. In your sales district, you know that the average weekly...
Context: You own three Chick-Fil-A franchises. In your sales district, you know that the average weekly sales are $542,000. One of your stores (Clarkesville store) brought in an average of $530,000 each week in the last year. Assume that you conducted the most appropriate test and found the following: Z = 3.32 Lower Critical Value = -2.00 Upper Critical Value = 2.00 P-value = 0.0015 Level of significance = 0.05 ----------------------------------------------------------- 1a) Based on this information, which of the following...
1. You are interested in whether the average lifetime of Duracell AAA batteries is less than...
1. You are interested in whether the average lifetime of Duracell AAA batteries is less than the average lifetime of Energizer AAA batteries. You lay out your hypotheses as follows: Null Hypothesis: μ1 ≥ μ2, Alternative Hypothesis: μ1 < μ2 (Duracell = Group 1, Energizer = Group 2). You perform an experiment on 20 randomly selected Duracell AAA batteries and 40 randomly selected Energizer AAA batteries and test them using a battery drainer. The Duracells had an average lifetime of...
Context: For your Friday afternoon report to your boss, you need to let her know if...
Context: For your Friday afternoon report to your boss, you need to let her know if the two stores in Cornelia and Clayton are selling the same volume. You decide to take the weekly sales at each store over the past year to determine if the sales at the two stores are equal. 1a) What test would you use to determine if there is a statistically significant difference between the average weekly sales at the two stores? a) One sample...
Researchers wondered if there was a difference between males and females in regard to some common...
Researchers wondered if there was a difference between males and females in regard to some common annoyances. They asked a random sample of males and​ females, the following​ question: "Are you annoyed by people who repeatedly check their mobile phones while having an​ in-person conversation?" Among the 517517 males​ surveyed, 168168 responded​ "Yes"; among the 545545 females​ surveyed, 204204 responded​ "Yes." Does the evidence suggest a higher proportion of females are annoyed by this​ behavior? Complete parts​ (a) through​ (g)...
For this project, you will make decisions about how two parameters (proportions or means) compare using...
For this project, you will make decisions about how two parameters (proportions or means) compare using hypothesis tests, and you will estimate the difference between the two parameters using confidence intervals. For each confidence, report the following: the confidence interval limits rounded as directed (from StatCrunch) An interpretation of the confidence interval (e.g. "I am 95% confident ... .") Here is a template for reporting the answer for a sample confidence interval problem. Sample problem: Find a 90% confidence interval...
A child dying from an accidental poisoning is a terrible incident. Is it more likely that...
A child dying from an accidental poisoning is a terrible incident. Is it more likely that a male child will get into poison than a female child? To find this out, data was collected that showed that out of 1830 children between the ages one and four who pass away from poisoning, 1031 were males and 799 were females (Flanagan, Rooney & Griffiths, 2005). Do the data show that there are more male children dying of poisoning than female children?...
When using inferential statistics, it is critical to have: More than one degree of freedom. A...
When using inferential statistics, it is critical to have: More than one degree of freedom. A truly random sample of the population. A binomial random variable A strong correlation with a Poisson distribution. A normally distributed population. The three ways of assessing probabilities are: Classical, Empirical, and Subjective Normal, Poisson, and Hypergeometric Type I, Type II, and Secular Binomial, Geometric, and a priori Global test, Histogram, and Stepwise If there are three, equally-likely events, the probability of each event occurring...
You have been hired to test whether the demand for a product that your client produces...
You have been hired to test whether the demand for a product that your client produces varies between two demographic markets – the Urban and Rural markets. As such, in each market, you run a short survey that gauges customers demand for your product and assigns them to one of three categories – (i) High (ii) Medium or (iii) Low. You survey 70 people in the “Urban” market and find that their demand falls into the following “buckets” High                32...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT