A gym owner wants to know if the gym has similar numbers of members across different age groups. The table shows the distribution of ages for members from a random survey. Write the null & alt. hypotheses to test the claim that the gym has equal numbers of members across all age groups.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
13. Chi-Square Tests & Goodness of Fit
Goodness of Fit Test
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A marketing associate for a supermarket chain wants to determine how many of each snack type to stock. According to previous market research, customers' preferences tend to follow the distribution in the table. If approximately 200 snack items are purchased in a day, what is the expected frequency of each snack type?

A
18, 11, 6, 8, 12
B
36, 21, 12, 8, 23
C
40, 40, 40, 40, 40
D
72, 42, 24, 16, 46
Verified step by step guidance1
Step 1: Understand the problem. The goal is to calculate the expected frequency of each snack type based on the given preference percentages and the total number of snack items purchased in a day (200).
Step 2: Identify the preference percentages for each snack type from the table: Chips (36%), Cookies (21%), Crackers (12%), Nuts (8%), and Granola Bars (23%).
Step 3: Convert the percentages into decimal form by dividing each percentage by 100. For example, Chips: 36% = 0.36, Cookies: 21% = 0.21, and so on.
Step 4: Multiply the decimal form of each preference percentage by the total number of snack items purchased (200). For example, for Chips: 0.36 × 200 = expected frequency for Chips.
Step 5: Repeat the multiplication for each snack type to calculate the expected frequency for Cookies, Crackers, Nuts, and Granola Bars. This will give the expected frequency for all snack types.
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